Todd Younkin Appointed President and CEO of Semiconductor Research Corporation (SRC) – BioSpace

Aug. 7, 2020 12:18 UTC

Todd Younkin Replaces Ken Hansen who is retiring after leading SRC the past five years.

DURHAM, N.C.--(BUSINESS WIRE)-- Semiconductor Research Corporation (SRC), a leading global semiconductor research consortium, today announced the appointment of industry veteran Todd Younkin as President and Chief Executive Officer. Younkins appointment was made by SRCs Board of Directors. Younkin will start transitioning to his new role on August 18, 2020.

Younkin is currently Executive Director of SRCs Joint University Microelectronics Program (JUMP), where he has engineered, launched, and led all programmatic aspects of the public-private partnership between industry, government, and academia. That research initiative emphasizes the advancement of Computer Science, Electrical Engineering, and Materials Science to secure continued U.S. thought leadership in the global semiconductor industry.

Prior to SRC, Younkin held senior technical positions at Intel Corporation and brings a wealth of knowledge in technology innovation, including extensive research and development expertise spanning Intels 180nm to 5nm nodes. While at Intel, Younkin was an assignee to IMEC, an international semiconductor R&D hub, gaining invaluable experience by working closely within the consortium to help move Extreme Ultraviolet Lithography (EUVL) into commercialization. He holds a Ph.D. from the California Institute of Technology and Bachelor of Science from the University of Florida.

The challenges facing the semiconductor industry today are as exciting and demanding as ever before. At the same time, AI, 5G+, and Quantum Computing promise to provide unfathomable gains and benefits for humanity. The need for research investments that bring these technology advances to bear is paramount, said Gil Vandentop, SRC Chairman of the Board. Todd has demonstrated an ability to bring organizations together, tackle common research causes, and advance technologies into industry. He has a clear vision to take SRC to the next level. I am delighted that Todd has accepted this challenge and will become the next SRC CEO.

I am honored to lead SRC, a one-of-a-kind consortium with incredible potential and exceptionally talented people. Together, we will deliver on SRCs mission to bring the best minds together to achieve the unimaginable, said Younkin. SRC is well-positioned to meet our commitment to SRC members, employees, and stakeholders by paving the way for the semiconductor industry. Our strong values, unique innovation model, and unflinching commitment to our members are core SRC principles that we will maintain as we move forward.

Ken Hansen, SRCs current President and CEO, indicated earlier to the Board that he would be retiring in 2020 provided that a solid succession plan was in place. SRCs Board of Directors has conducted a structured search process for CEO succession, working closely with Hansen to develop internal candidates and identify external candidates. That process culminated with SRCs Board deciding to appoint Younkin.

During the past five years, we have rejuvenated SRC by significantly expanding the size and scope of our research investments while adding 11 key industry partners, said Hansen. I leave knowing SRC will always be a part of me, that SRC has made me a better leader, and with great confidence in the choice of Todd Younkin to succeed me. I look forward to working with him on a smooth transition and wish him great success in his new role.

On behalf of the entire Board of Directors I would like to thank Ken for his extensive contributions to SRC and our industry, said Vandentop. Kens loyalty, commitment, and deep personal integrity have served as an example for all of SRC.

Hansen will leave his current position on August 31, 2020. During his tenure as CEO of SRC, Hansen led a turnaround that reestablished SRC as the leading research consortium in the semiconductor industry and culminated in record financial performance.

Todd is the right person to lead SRC in the coming years, said Mukesh Khare, previous SRC Chairman of the Board and Head of the Search Committee. I look forward to working closely with him and SRCs leadership team to build an even stronger company, one well positioned to meet the research needs of the future.

SRC is a major driving force behind the university research that spurs innovation in the semiconductor industry and throughout our economy, said John Neuffer, President and CEO of the Semiconductor Industry Association (SIA). We thank Ken for his years of service and dedication to our industry and look forward to working with Todd as we continue to advance semiconductor research priorities with policymakers in Washington.

About SRC

Semiconductor Research Corporation (SRC.org), a world-renowned, high technology-based consortium, serves as a crossroads of collaboration between technology companies, academia, government agencies, and SRCs highly regarded engineers and scientists. Through its interdisciplinary research programs, SRC plays an indispensable part to address global challenges, using research and development strategies, advanced tools and technologies. Members of SRC work synergistically together, gain access to research results, fundamental IP, and highly experienced students to compete in the global marketplace and build the workforce of tomorrow.

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Todd Younkin Appointed President and CEO of Semiconductor Research Corporation (SRC) - BioSpace

McCaul: Semiconductors are the future. Building them should stay in Texas. – Austin American-Statesman

The COVID-19 pandemic has opened the eyes of many Americans to the danger the Chinese Communist Party (CCP) poses to our supply chain, especially for critical items such as personal protective equipment (PPE) and lifesaving pharmaceuticals. When COVID was allowed to spread rapidly throughout China and the world, Chinese Communist Party officials hoarded supplies of PPE and banned their export to other countries a move they were able to make because of their stranglehold on that supply chain.

And just as frightening, the United States sources approximately 80 percent of its active pharmaceutical ingredients from overseas, including the Peoples Republic of China. Through one of its propaganda outlets, the CCP even threatened to impose export controls on pharmaceuticals needed to fight the coronavirus the party allowed to spread. Can you imagine what would have happened if they had followed through?

Thats why its important that we secure critical medical supply chains now. We also need to secure our technological supply chains before it is too late and that starts with re-establishing the United States as a true leader in the production of advanced semiconductors.

Semiconductors are the tiny chips that serve as the brains behind your toaster, your smartphone, all the way to fighter jets and, in the very near future, they will serve as the brains behind the innovations of tomorrow such as 5G, quantum computing, and artificial intelligence (AI). America is already a leader on semiconductors, with the U.S. industry accounting for nearly 50 percent annual global market share and with American companies at the forefront of advanced semiconductor chip design. But our leadership is being threatened.

The Chinese Communist Party is spending billions of dollars to become the leader in the production of advanced semiconductors, posing a serious threat to our economic and national security. Unless we take bold action, the United States may lose its edge in making advanced semiconductor chips to our adversary and endanger our technological future.

Thats why I worked with Democrats and Republicans in both Chambers of Congress, including my House colleague Rep. Doris Matsui (D-CA), and my Senate colleagues Senator John Cornyn and Senator Mark Warner (D-VA), to introduce the CHIPS for America Act. By providing funding and support throughout the semiconductor supply chainfrom research and development to productionour bill will supercharge investment, create thousands of jobs, and safeguard national security. I am proud a version of the CHIPS for America Act passed on the House floor as an amendment to this years National Defense Authorization Act, and will work with my colleagues in the Senate to get this to the presidents desk.

Existing semiconductor ecosystems like ones in Austin should be further energized by this bill, which will have a cascading effect on the local economy. And with the Armys Future Command, the University of Texas and the high-tech community already based in Austin, our city is ideally situated for this industry to grow and thrive here. Semiconductor manufacturing jobswhich net an average salary of $150,000 per yearcreate nearly five additional jobs in the broader economy. We have already seen this effect in Austin thanks to the Samsung Semiconductor facility the most significant foreign direct investment in this country. Beyond this fabrication facility, there are dozens of semiconductor companies that conduct research, design, or testing of semiconductors in my district, and dozens more that use a semiconductor to power a finished product, such as Apple, which builds its MacBook Pro computer in Austin.

Now is the time to act to preserve American leadership in the development and manufacturing of the technologies of the future.

McCaul, R-Austin, is lead Republican on the House Foreign Affairs Committee and chairman of the China Task Force.

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McCaul: Semiconductors are the future. Building them should stay in Texas. - Austin American-Statesman

Bitcoin Market Much Different Now as New BTC Wallets Approach 2017 Highs – Cointelegraph

New on-chain data suggests that demand for Bitcoin (BTC) from new investors is growing. Specifically, the number of new BTC addresses is nearing 2017 levels when the price hit $20,000.

Brock Connelly, the CEO of RoundBlock Capital, said:

Has anyone noticed, daily active addresses (Bitcoin) is back above June 2019 levels, and approaching high of 1.29mm in December 2017. BTC market feels much different now.

Various on-chain metrics hint at a continuation of the Bitcoin uptrend, despite the digital assets 28% increase in the past three weeks.

After the Aug. 2 Bitcoin flash crash, both BTC and Ether (ETH) have steadily increased in price. At the time, more than $1 billion worth of futures liquidations in one hour sent the market plunging for a brief period of time.

Since then, major cryptocurrencies have stabilized, seeing less volatile price movements. The stability of BTC and ETH could also indicate the start of an accumulation phase.

While this weeks BTC price action has been strong, the digital asset has many technical reasons to see a rejection from the $11,700 to $12,000 range. Historically, $12,000 has served as a strong resistance level and every attempt to close a weekly candle above it in the last two years led to prolonged corrections.

With that said, the price of Bitcoin is steadily increasing as metrics like new BTC addresses continue to rise. The data suggests that many investors appear to be gradually accumulating BTC.

One possible reason behind the steady uptrend of Bitcoin in the past five days could be the profitability of addresses. According to IntoTheBlock, 93.76% of all Bitcoin addresses are now in profit. The researchers said:

The Bitcoin network has a total of 702.11 million addresses, from which 30.99 million currently have a balance in BTC. At the current price of $11,758.8, 93.76% of the addresses with a balance are currently profiting from their BTC positions.

Inflow and outflow of Bitcoin from wallets. Source: IntoTheBlock

On-chain analysts often measure the profitability of addresses by capturing the value of Bitcoin first moved by an address. While it can be inaccurate at times, it typically indicates when the address first bought BTC.

When the majority of addresses are in profit, it reduces the need to sell BTC in the near-term. While an argument for a take-profit pullback could be made, the current stability of BTC suggests otherwise.

In the short-term, the largest roadblock for Bitcoin is the $12,000 resistance level. In recent weeks, BTC has consolidated just below the level and it should be noted that consolidation near a near a key resistance area can be considered a sign of optimism.

Technical analyst Edward Morra suggested that spot traders on Coinbase and Bitstamp are defending the $11,600 to $11,700 range. The abundance of buy orders in the support area could reduce the probability of a big pullback.

BTC-USD buy orders on Coinbase. Source: Edward Morra

Some traders are closely observing the U.S. stock market open on Aug. 7, as it coincides with the release of new job data. In the past few months, positive job data led to rallies in the cryptocurrency market.

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Bitcoin Market Much Different Now as New BTC Wallets Approach 2017 Highs - Cointelegraph

Bitcoin Price Continues Rally, Positive Sentiment Is Off the Charts – Cointelegraph

In the past couple of weeks, the Bitcoin (BTC) price has resurged after months of apparent monetary stagnation. Since July 23, the value of a single Bitcoin has risen by around 20%. Not only that, after trading sideways since its supply squeeze in early May, the premier currency broke through its all-important $10,000 psychological threshold, thus leading many casual investors to once again jump back on the crypto hype train.

Bitcoins recent price hike has also resulted in a retail boom, with a whole host of trading platforms across the world reporting sky-high Bitcoin trading volumes. As a result of this bullish market activity, Joe DiPasquale, prominent crypto pundit and CEO of BitBull Capital, recently stated that this latest surge is once again building up an element of FOMO, or fear of missing out, among casual investors who believe they might be late to the crypto party.

Echoing a somewhat similar sentiment, Joshua Frank, co-founder and CEO of The Tie a provider of data aggregation tools commented to Cointelegraph that historically speaking, volatility has driven significant new waves of interest and investors into Bitcoin, particularly with the most recent run from $9,000 to $12,000. Frank outlined that the 30-day average number of Twitter users discussing Bitcoin has spiked from 24,000 to 30,000 over the last two weeks, adding:

Bitcoin hit its highest daily tweet volume level since June 26th 2019 in the wake of the Twitter scam on July 16th. While it isnt clear that the run-up had any correlation to the scam, we have seen in the past that, all else equal, the more users talking about Bitcoin the better the asset performs.

Denis Vinokourov, head of research at BeQuant, a crypto exchange and institutional brokerage service, told Cointelegraph that since volatility picked up, his firm has observed trade volumes jumping by about 40% from where daily summer averages were prior to this recent rally.

Cointelegraph also discussed the recent market action with Adam Vettese, market analyst at cryptocurrency trading and investment platform eToro. He pointed out that since crypto prices began rallying at the end of July, the number of crypto positions being opened increased by 115% versus the previous fortnight. Over the same time period, trading volume in crypto instruments also increased by 162%. The number of Bitcoin positions opened increased by 222% with a 421% rise for Ether (ETH) and 170% for XRP.

Christophe Michot, sales director at digital asset trading platform CrossTower also claimed that over the course of the past couple of weeks, his firm has observed a 219% increase in daily trading volume as well as a 66% rise in the number of daily average signups over the same time period.

Michot also highlighted that since the pullback in mid-March, the market as a whole has experienced a strong bullish reversal. For example, Bitcoin has regained over 210% and Ethereum bounced by 364% since the Black Thursday crash of March 11, 2020.

The crypto market rally has come on the heels of positive news such as the U.S. OCCs recent clarification permitting the custody of Bitcoin by banks as well as the announcement of another stimulus package to be issued by the Fed in the near future, which some experts believe will continue to devalue the U.S. dollar.

On July 12, Bitcoins long-term sentiment score a comparison of investor sentiment over the last 50 days vs. the prior 200 hit a new all-time high leading up to Bitcoins run at the end of the month. Similarly, the daily sentiment score represents a measure of how positive or negative conversations on Twitter have been about a particular coin over the last 24 hours vs. the previous 20 days.

The daily sentiment score of investors has remained positive (above 50) every day from July 20 to Aug. 1. Even after Bitcoin failed to surpass the $12,000 mark and retraced by $1,400, investor sentiment fell below 50 for only about 28 hours, alluding to the fact that investors have remained extremely positive on Bitcoin.

Frank told Cointelegraph that approximately 68% of all tweets discussing the long-term financial future of Bitcoin over the past month have been positive. Similarly, Michot added that according to CrossTowers media data, the market is in the early stages of a new bull run, adding: Another positive sentiment is coming from family offices and other traditional advisory firms. These firms are seeing increased demands by clients seeking exposure to the cryptocurrency markets.

Since the start of the recent crypto surge, there has been a spike in the use of stablecoins along with a clear increase in demand for other DeFi-related tokens. John Todaro, director of institutional research at TradeBlock, a trading platform for institutional investors, told Cointelegraph:

Stablecoin circulating supplies have increased substantially over the past 6 months, with Tether seeing around $10bn in deposits and USDC seeing over $1bn. This may seem small, but those deposits make Circle and Tether, to an extent, defacto banks with sizable customer deposits. $510 bn in customer deposits is equivalent to a small to midsize U.S. commercial bank.

Todaro added that while merchant adoption still remains limited for stablecoins, there is real demand for these assets in developing economies as well as those with political instability, such as in Latin America, parts of the Middle East, and to an extent, Hong Kong. He also noted that derivatives volumes have spiked recently (at Deribit, CME and others), but a large portion of that is tied to price action, as increased volatility almost always tends to drive increased trade volumes.

Vinokourov believes that the recent spell of low volatility and thin trading volumes has evolved into one of the busiest periods for digital assets in recent memory: Volumes on spot and derivatives venues spiked higher as Bitcoin traded over $11,000, and other large cap assets followed in lockstep. Vinokourov further opined:

Particular attention ought to be paid to the evolution of Ethereum volatility profile which, despite coming off recent highs, remains elevated relative to Bitcoin. This suggests more potential volatility for the second largest cryptocurrency.

Another aspect worth exploring is the relationship that may or may not exist between Bitcoins Fear and Greed Index and its price, and if the metric can suggest a possible price direction. Expounding his views on the matter, Todaro opined that the index is calculated based on a few variables that are, to an extent, affected by price, forcing the index to follow certain niche inputs such as the velocity of price gains, all-time high prices and price momentum, among other parameters.

For instance, if there is a large crash in the market, volatility will increase, and the index will conclude that the market has high fear. In doing so, the index ultimately follows the price. Additionally, the index captures Google trends, with high interest in positive crypto-related terms meaning high greed. Therefore, Todaro believes that the index can be used to make current and future investment decisions:

"While the price of Bitcoin isnt back to all-time highs, this was the fastest price gain over a 10-day period in its history, which would read extremely greedy, and so maybe it is time to sell and wait for a pullback to re-enter.

Another correlation worth exploring is the one between Bitcoin and the S&P 500. According to Quantum Economics founder Mati Greenspan, the previously high correlation between crypto-assets and the S&P 500 has now decreased:

We can clearly see earlier this year, where the correlation spiked up to 0.6 due to the multi-asset early-pandemic sell-off. By now, however, were once again below 0.2, which basically means that there is no correlation on a day-to-day basis anymore.

Furthermore, Greenspan noted that even a peak of 0.6 only represents a very loose correlation, adding, Many stocks have a very high correlation with each other, usually above 0.8 even if theyre in completely different industries, and many altcoins are similar.

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Bitcoin Price Continues Rally, Positive Sentiment Is Off the Charts - Cointelegraph

Fixing This Bitcoin-Killing Bug Will (Eventually) Require a Hard Fork – CoinDesk – CoinDesk

Most of us will be dead by then.

Projected to happen in the year 2106, Bitcoin will suddenly stop running based on the code its network of users is running today. Users wont be able to send bitcoin to others; miners securing Bitcoins global network will no longer serve a purpose. Bitcoin will just stop.

The good news is the bug is easy to fix. Its a problem Bitcoin developers have known about for years since at least 2012, maybe earlier, according to Bitcoin Core contributor Pieter Wuille. To some developers, the Bitcoin bug potentially sheds light on the limits to Bitcoins decentralization, since the community will all need to join together to fix it.

This is a consensus change but a very simple one, and I hope one that will be non-controversial, Blockstream co-founder and engineer Pieter Wuille told CoinDesk in an email. We have about 80 years left to address [the bug]. Who knows what might happen in such a time frame?

The bug is simple. Bitcoin blocks are the containers within which transactions are stored. Each Bitcoin block has a number tracking how many blocks come before it. But because of a limitation revolving around how block height numbers are stored, Bitcoin will run out of block numbers after block number 5101541.

In other words, at a block height roughly 86 years into the future, it will be impossible to produce any new blocks.

Hard fork

The change requires whats known as a hard fork, the most demanding method of making a change to a blockchain. Hard forks are tricky in that theyre not backwards-compatible, they require everyone running a Bitcoin node or miner to upgrade their software. Anyone who doesnt do so will be left behind on a stonewalled version of Bitcoin thats incapable of any activity.

While some blockchains, such as Ethereum, execute hard forks regularly, a hard fork isnt the happiest word in Bitcoin land.

The last time a Bitcoin hard fork was attempted, it attracted vicious debate. Several big Bitcoin businesses and miners rallied around a hard fork called Segwit2x in 2017. The problem is that far from everyone in the community agreed with the change, so many saw it as an attempt to force the upgrade on the community, which doesnt exactly jibe with Bitcoins ethos of leaderlessness.

Because of this diary entry in Bitcoins history, when many people in Bitcoin hear the phrase hard fork, they think of a centralized power trying to impose a change.

However, this bug fix hard fork comes in stark contrast to Bitcoins most famous hard fork attempt. Rather than attracting debate, the community and developers will most likely agree it is a change that needs to be made.

After all, anyone who chooses not to upgrade their software will eventually be running a dead Bitcoin chain.

Protocol 'ossification'

The bug fix is unlikely to be a controversial hard fork change. But that doesnt make the issue any less interesting.

In conversation with CoinDesk, Gustavo J. Flores, head of Product and Research at Bitcoin tech startup Veriphi, argued it brings to light a limit to Bitcoins protocol ossification.

Bringing to mind squishy cartilage hardening into bone over time, protocol ossification is the idea that Bitcoin will grow harder to change as it matures. The first several years of Bitcoins life, the protocol was immature and there were far fewer users and developers tinkering with the software, so the technology was easier to change. But Bitcoin may be hardening into a bony specimen that will be very difficult to change.

Protocol ossification means a certain point in time, some say it should be now, where Bitcoin doesnt change anymore. The rules are set such as a countrys constitution would be set, unchangeable, since it would be too decentralized to coordinate any change, Flores told CoinDesk.

Just a dream?

The reason many Bitcoin technologists think ossification is a good quality is because it is a sign the system is actually as decentralized as the community wants it to be, ensuring the system is really free from one person or entity stepping in and pushing through a change that isnt good.

Flores added that protocol ossification helps to prevent future tentatives that would resemble Segwit2x, where some actors try to force an upgrade because theyre known developers or big businesses, and this ends up hurting Bitcoin because its either untested code or cryptography, or because the change removes the core value proposition or would decrease decentralization which would hurt the core value proposition over the long term.

However, this bug makes it desirable to be able to coordinate a hard fork to fix it, since we all want Bitcoin to be able to survive that deadline, Flores said.

It basically brings us back to reality, where the dream of protocol ossification (which makes us achieve ultimate decentralization) is a further than expected and it might be just a dream, which we can get closer over time, but we cant ever complete it since emergencies such as this, might present themselves, Flores told CoinDesk.

The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups.

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Fixing This Bitcoin-Killing Bug Will (Eventually) Require a Hard Fork - CoinDesk - CoinDesk

Why global collaboration is key to Accelerated Discovery – World Economic Forum

A short line down, slow and steady, followed by five more to complete a perfect hexagon.

As a 15-year-old in Madrid, I loved my science classes. I had a particularly inspiring chemistry teacher who challenged us to memorize the entire periodic table. I cherished going to the labs, experimenting with bubbly liquids changing color as I heated up my flask steamy substances changing phase before my eyes and drawing funny stick diagrams of molecules.

Decades later, in 2015, I would see the same perfect hexagon in an image of a molecule taken with the Nobel Prize-winning scanning tunneling microscope designed by IBM in the early 1980s. As a teenager, I believed stick diagrams were platonic ideals, an easy way to represent the realm of the small. And here I was, staring at a very real molecule of pentacene a row of five hexagons. I was transported back to my teenage years, when I peeked into the future. Suddenly, the future was right there in front of me.

Today, the lead scientist of that project, IBM Research chemist Leo Gross, and other researchers around the world routinely image molecules. They can even snap a picture as molecules change their charge state, and before and after a chemical reaction.

But its not just chemical imaging thats making leaps and bounds. The entire scientific method is getting turbocharged. Thats partly due to cutting-edge tools like artificial intelligence (AI) and quantum computers futuristic machines that look like steampunk golden chandeliers. Its also due to the changing way we do science. At last, the world is starting to grasp the importance of public-private collaborations to scientific discovery. And the COVID-19 pandemic is a catalyst to several such successful global partnerships.

We should keep the momentum. Classical high-performance computers (HPC), AI and quantum computing on their own are powerful, but the potential is even greater. To truly embrace the Future of Computing, policymakers, industry and academia have to create an infrastructure in which these technologies work together, boosting and complementing each other.

At the nodes of this infrastructure should be strategic national and international partnerships, with industry, academia and governments working jointly to accelerate progress, better prepare for and address global threats, and improve the world. We need more scientists in leadership positions in government and industry. And we need to ensure seamless links between policymakers and researchers, in regular times and during global emergencies.

One global collaboration we should create is what I suggest calling the Science Readiness Reserves (SRR). This organization would help rapidly mobilize researchers who are experts in various global disasters, connecting scientists worldwide with organizations that have cutting-edge technology, such as supercomputers or quantum computers.

The impact will touch every sector of our society and economy. We have all the ingredients to make it happen: bits, neurons and qubits. The secret sauce? They have to work together.

IBM Q System One, the world's first fully integrated universal quantum computing system

Image: IBM

Take pentacene, that simple molecule I once loved to draw, five perfect hexagons connected side to side. With 22 electrons and 22 orbitals, its among the most complex molecules we can simulate on a traditional, classical computer.

But there are billions upon billions of molecular configurations more possible combinations for a new molecule than there are atoms in the universe.

Sifting effectively through this vast chemical space would allow us to rapidly find a specific molecule and create a new material with the properties we want. This could unlock endless possibilities of material design for life-saving drugs, better batteries, more advanced prosthetic limbs or faster and safer cars, advancing healthcare, manufacturing, defense, biotechnology, communications and nearly every other industry. This design ability would replace our centuries-old reliance on serendipity in material discovery something weve been through with plastics, Teflon, Velcro, Vaseline, vulcanized rubber and so many other breakthroughs. Even graphene the atom-thick layer of carbon and the thinnest, strongest material known was discovered by (informed) chance, when physicist Kostya Novoselov found discarded Scotch tape in his labs waste basket.

Material design has long been a slow and iterative process. Typically, researchers jog between experiments, theory and simulations between a computer, perfecting calculations that approximate the behavior of unknown molecules, and a lab, to test if the molecules work as predicted, in a seemingly never-ending loop. Yes, high-performance computing (HPC) can simulate simple physical and chemical processes. Yes, advances in HPC have helped us pinpoint potentially useful molecules for lab tests. And yes, AI is increasingly valuable in screening novel high-performance materials, creating models to assess the relationship between the behavior of matter and its chemical structure, predicting properties of unknown substances and combing through previously published papers.

Still, it takes years to develop new materials. We need to inject quantum into the mix and get bits, neurons and qubits to play side by side.

We all deal with bits daily, from toddlers aptly manipulating tablets to autonomous robots clearing up the site of a nuclear power plant accident. Bits power smartphones, the brain scanner in our local hospital and a remotely controlled NASA rover on Mars. Artificial neurons, on the other hand, are mathematical functions that help AIs deep neural networks learn complex patterns, loosely mimicking natural neurons our brains nerve cells.

Then there are qubits, the fundamental units of information. They are bits oddball and much younger quantum cousins. Qubits behave just like atoms, with weird properties of superposition (being in multiple states at once) and entanglement (when one qubit changes its state at the same time as its entangled partner, even if they are light years apart). While a classical computer has to sift through potential combinations of values of a bit (0 or 1), one at a time, a quantum computer can make an exponential number of states interact simultaneously.

Molecules are groups of atoms held together by chemical bonds, and qubits are a great way to simulate a molecules behavior. For material design, quantum computing will add an invaluable extra dimension: accurate simulations of much more complex molecular systems.

Beyond material discovery, quantum computers will be a boon in any field where its necessary to predict the best outcome based on many possibilities, such as calculating the investment risk of a financial portfolio or the most optimal fuel-saving path for a passenger jet. This technology is just entering the phase of commercialization, accessible and programmable through the cloud.

At IBM, we believe quantum computers will reach the so-called quantum advantage outperforming any classical computer in certain use cases within this decade.

At IBM, we believe quantum computers will reach the so-called quantum advantage outperforming any classical computer in certain use cases within this decade.

When that happens, the world will no longer be the same provided we dont forget the secret sauce. Bits, neurons and qubits are powerful on their own, but working together, they will trigger a true technology revolution enabling a new Accelerated Discovery workflow, the default scientific method of the future.

In healthcare, this will impact drug discovery and lead to better personalized medicine, more efficient bioprinting of organs and rapidly developed vaccines. AI is already helping classical computers speed up medical imaging, diagnosis and data analysis. Quantum computers could, in the future, assist AI algorithms to find new patterns by exploring extremely high dimensional feature spaces, impacting fields like imaging and pathology. Together, HPC, AI and quantum computers have the potential to help us deal with dwindling food supplies, pollution, CO2 capture, energy storage and climate change. And this method will complement our own assessments of the risks of global threats that havent happened yet but could at any time.

This brings me to the other element needed to achieve the Future of Computing: national and international collaborations.

The pandemic has shown that public-private collaborations work, even when composed of industry rivals. Formed in March 2020, the COVID-19 High Performance Computing Consortium brought together government, industry leaders and academic labs to pool computing resources to support scientists conducting COVID-19 research. The collaboration also offers critical data sharing and creativity exchange.

This is the kind of collaboration we need on a global scale, beyond pandemics. The boost to the scientific method powered by quantum, HPC and AI can help address and improve many elements of society, from cybersecurity to entertainment to manufacturing. It is time to also reimagine how we use the talent in our science and technology institutions, and explore new ways to foster collaboration. This is why the proposed Science Readiness Reserves could be so important.

Science is vital to our future prosperity and health. It always has been, and always will be. If ever we needed a wake-up call to recognize the urgency of science and the power of collaboration, the time is now.

The World Economic Forum was the first to draw the worlds attention to the Fourth Industrial Revolution, the current period of unprecedented change driven by rapid technological advances. Policies, norms and regulations have not been able to keep up with the pace of innovation, creating a growing need to fill this gap.

The Forum established the Centre for the Fourth Industrial Revolution Network in 2017 to ensure that new and emerging technologies will helpnot harmhumanity in the future. Headquartered in San Francisco, the network launched centres in China, India and Japan in 2018 and is rapidly establishing locally-run Affiliate Centres in many countries around the world.

The global network is working closely with partners from government, business, academia and civil society to co-design and pilot agile frameworks for governing new and emerging technologies, including artificial intelligence (AI), autonomous vehicles, blockchain, data policy, digital trade, drones, internet of things (IoT), precision medicine and environmental innovations.

Learn more about the groundbreaking work that the Centre for the Fourth Industrial Revolution Network is doing to prepare us for the future.

Want to help us shape the Fourth Industrial Revolution? Contact us to find out how you can become a member or partner.

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Why global collaboration is key to Accelerated Discovery - World Economic Forum

7 Quantum Computing Stocks to Buy for the Next 10 Years – InvestorPlace

Quantum computing or the use of quantum mechanics to create a genre of next-generation quantum computers with nearly unlimited compute power has long been a concept stuck in the theory phase.

But quantum computing is starting to grow up. Recent breakthroughs in this emerging field such as Alphabet (NASDAQ:GOOG, NASDAQ:GOOGL) claiming to achieve quantum supremacy in late 2019 have laid the foundation for the quantum computing space to go from theory, to reality, over the next several years. This transition will spark huge growth in the global quantum computing market.

The investment implication?

Its time to buy quantum computing stocks.

At scale, quantum computing will disrupt nearly every industry in the world, ranging from finance, to biotechnology, to cybersecurity, and everything in between.

It will improve the way medicines are developed by simulating molecular processes. It will reduce energy loss in batteries through optimized routing and design, thereby allowing for the creation of things like hyper-efficient electric car batteries. In finance, it will speed up and optimize portfolio optimization, risk modeling and derivatives creation. In cybersecurity, it will disrupt the way we think about encryption. It will create superior weather forecasting models, unlock advancements in autonomous vehicle technology and help humans fight climate change.

Im not kidding when I say quantum computing will change everything.

And quantum computing stocks are positioned to be big winners over the next decade.

So, with that in mind, here are seven quantum computing stocks to buy for the next 10 years:

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Among the various quantum computing stocks to buy for the next 10 years, the best buy is probably Alphabet stock.

That is because many many consider Alphabets quantum computing arm Google AI Quantum, which is built on the back of a state-of-the-art 54-qubit processor dubbed Sycamore to be the leading quantum computing project in the world. Why? This thinking is bolstered mostly by the fact that, in late 2019, Sycamore performed a calculation in 200 seconds that would have taken the worlds most powerful supercomputers 10,000 years to perform.

This achievement led Alphabet to claim that Sycamore had reached quantum supremacy. What does this mean? Well, this benchmark is loosely defined as point when a quantum computer can perform a task in a relatively short amount of time that no other supercomputer could complete in any reasonable amount of time.

Many have since debated whether or not Alphabet has indeed reached quantum supremacy.

But thats somewhat of a moot point.

The reality is that Alphabet has built the worlds leading quantum computer. The engineering surrounding this supercomputer will only get better. So will Sycamores compute power. As that happens, Alphabet has the ability to through its Google Cloud business turn Sycamore into a market-leading quantum-computing-as-a-service business with huge revenues at scale.

To that end, GOOG stock is one of the best quantum computing stocks to buy today for the next 10 years.

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The other big dog in the quantum computing space that closely rivals Alphabet is IBM.

IBM has been big in the quantum computing space for years. But Big Blue has attacked this space in a fundamentally different way than its peers.

That is, while other quantum computing players like Alphabet have forever chased quantum supremacy, IBM has shunned that idea in favor of building on something the company calls the quantum advantage.

Ostensibly, the quantum advantage really isnt too different from quantum supremacy. The former deals with a continuum focused on making quantum computers perform certain tasks faster than traditional computers. The latter deals with a moment focused on making quantum computers permanently faster at all things than traditional computers.

But its a philosophical difference with huge implications. By focusing on building the quantum advantage, IBM is specializing its quantum computing efforts into making quantum computing measurably useful and economic in certain industry verticals, for certain tasks.

In so doing, IBM is actually creating a fairly straightforward go-to market strategy for its quantum computing services in the long run. Help this industry, do this task, really well.

And so, with such a realizable, simple and tangible approach, IBM stock is one of the most sure-fire quantum computing stocks to buy today for the next 10 years.

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Another big tech player in the quantum computing space with promising long-term potential is Microsoft.

Microsoft already has a huge infrastructure cloud business, Azure. Building on that infrastructure foundation, Microsoft has launched Azure Quantum, a quantum computing business with potential to turn into a huge QCaaS business at scale.

In its current state, Azure Quantum is a secure, stable and open ecosystem which serves as a one-stop-shop for quantum computing software, hardware and applications.

The bull thesis here is that Microsoft will lean into its already huge Azure customer base in order to cross-sell Azure Quantum. Doing so will give Azure Quantum a big and long runway for widespread early adoption, which is the first step in turning Azure Quantum into a huge QCaaS business.

It also helps that Microsofts core Azure business is absolutely on fire right now.

Putting it all together, quantum computing is simply one facet of the much broader Microsoft enterprise cloud growth narrative. That growth narrative will remain robust for the next several years. And it will continue to support further gains in MSFT stock.

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The most interesting, smallest and potentially most explosive quantum computing stock on this list is Quantum Computing.

The Quantum Computing bull thesis is fairly simple.

Quantum computing is going to change everything over the next several years. But the hardware is expensive. It likely wont be ready to deliver measurable benefits at reasonable costs to average customers for several years. So, Quantum Computing is building a portfolio of affordable quantum computing software and apps that deliver quantum compute power, but can be run on traditional legacy supercomputers.

In so doing, Quantum Computing is hoping to fill the gap and turn into a widespread, low-cost provider of easily accessible quantum computing software for companies that cannot afford full-scale quantum compute hardware.

Quantum Computing is just starting to commercialize this software in 2020, through three products currently in beta mode. Those three products will likely start signing up financial, healthcare and government customers to long-term contracts in the back half of the year. Those early signups could be the beginning of tens of thousands of companies signing up for Quantums services over the next five to 10 years.

Connecting the dots, you really could see this company go from zero dollars in revenue today, to several hundred million dollars in revenue in the foreseeable future.

If that happens, QUBT stock which has a market capitalization of just $12 million today could soar.

Source: Kevin Chen Photography / Shutterstock.com

Much like the other big tech players on this space, Alibaba is in the business of creating a robust QCaaS arm to complement its already huge infrastructure-as-a-service business.

Long story short, Alibaba is the leading public cloud provider in China. Indeed, Alibaba Cloud owns about 10% of the global IaaS market. Alibaba intends to leverage this leadership position to cross-sell quantum compute services to its huge existing client base, and eventually turn into the largest QCaaS player in China, too.

Will it work?

Probably.

The Great Tech Wall of China will prevent many of the other companies on this list from reaching scale, or even sustainably doing operations in, China. Alibaba does have some in-country quantum computing competition. But this isnt a winner-take-all market. And given Alibabas enormous resource advantages, it is highly likely that the company eventually turns into either the No. 1 or No. 2 player in Chinas quantum computing market.

Thats just another reason to buy and hold BABA stock for the long haul.

Source: StreetVJ / Shutterstock.com

The other big Chinese tech company diving head-first into quantum computing is Baidu.

Baidu launched its own quantum computing research center in 2018. According to the company website, the goal of this research center is to integrate quantum computing into Baidus core businesses.

If so, that means Baidus goal with quantum computing diverges from the norm. Others in this space want to build out quantum compute power to sell it, as a service, to third parties. Baidu wants to build out quantum compute power to, at least initially, improve its own operations.

Doing so will pay off in a big way for Baidu.

Baidus core search and advertising businesses could markedly improve with quantum computing. Advancements in compute power could dramatically improve search algorithms and ad-targeting techniques.

BIDU stock does have healthy upside thanks to its early research into quantum computing.

Source: Sundry Photography / Shutterstock.com

Last, but not least, on this list of quantum computing stocks to buy is Intel.

While Intel may be falling behind competitors namely Advanced Micro Devices (NASDAQ:AMD) on the traditional CPU front, the semiconductor giant is on the cutting edge of creating potential quantum CPU candidates.

Intels newly announced Horse Ridge cryogenic control chip is widely considered the markets best quantum CPU candidate out there today. The chip includes four radio frequency channels that can control 128 qubits. That is more than double Tangle Lake, Intels predecessor quantum CPU.

In other words, Intel is the leader when it comes to quantum compute chips.

The big idea, of course, is that when quantum computers are built at scale, they will likely be built on Intels quantum CPUs.

To that end, potentially explosive growth in the quantum computing hardware market over the next five to 10 years represents a huge, albeit speculative, growth catalyst for both Intel and INTC stock.

Luke Lango is a Markets Analyst for InvestorPlace. He has been professionally analyzing stocks for several years, previously working at various hedge funds and currently running his own investment fund in San Diego. A Caltech graduate, Luke has consistently been rated one of the worlds top stock pickers by various other analysts and platforms, and has developed a reputation for leveraging his technology background to identify growth stocks that deliver outstanding returns. Luke is also the founder of Fantastic, a social discovery company backed by an LA-based internet venture firm. As of this writing, he was long MSFT.

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7 Quantum Computing Stocks to Buy for the Next 10 Years - InvestorPlace

Todd Younkin Appointed President and CEO of Semiconductor Research Corporation (SRC) – Business Wire

DURHAM, N.C.--(BUSINESS WIRE)--Semiconductor Research Corporation (SRC), a leading global semiconductor research consortium, today announced the appointment of industry veteran Todd Younkin as President and Chief Executive Officer. Younkins appointment was made by SRCs Board of Directors. Younkin will start transitioning to his new role on August 18, 2020.

Younkin is currently Executive Director of SRCs Joint University Microelectronics Program (JUMP), where he has engineered, launched, and led all programmatic aspects of the public-private partnership between industry, government, and academia. That research initiative emphasizes the advancement of Computer Science, Electrical Engineering, and Materials Science to secure continued U.S. thought leadership in the global semiconductor industry.

Prior to SRC, Younkin held senior technical positions at Intel Corporation and brings a wealth of knowledge in technology innovation, including extensive research and development expertise spanning Intels 180nm to 5nm nodes. While at Intel, Younkin was an assignee to IMEC, an international semiconductor R&D hub, gaining invaluable experience by working closely within the consortium to help move Extreme Ultraviolet Lithography (EUVL) into commercialization. He holds a Ph.D. from the California Institute of Technology and Bachelor of Science from the University of Florida.

The challenges facing the semiconductor industry today are as exciting and demanding as ever before. At the same time, AI, 5G+, and Quantum Computing promise to provide unfathomable gains and benefits for humanity. The need for research investments that bring these technology advances to bear is paramount, said Gil Vandentop, SRC Chairman of the Board. Todd has demonstrated an ability to bring organizations together, tackle common research causes, and advance technologies into industry. He has a clear vision to take SRC to the next level. I am delighted that Todd has accepted this challenge and will become the next SRC CEO.

I am honored to lead SRC, a one-of-a-kind consortium with incredible potential and exceptionally talented people. Together, we will deliver on SRCs mission to bring the best minds together to achieve the unimaginable, said Younkin. SRC is well-positioned to meet our commitment to SRC members, employees, and stakeholders by paving the way for the semiconductor industry. Our strong values, unique innovation model, and unflinching commitment to our members are core SRC principles that we will maintain as we move forward.

Ken Hansen, SRCs current President and CEO, indicated earlier to the Board that he would be retiring in 2020 provided that a solid succession plan was in place. SRCs Board of Directors has conducted a structured search process for CEO succession, working closely with Hansen to develop internal candidates and identify external candidates. That process culminated with SRCs Board deciding to appoint Younkin.

During the past five years, we have rejuvenated SRC by significantly expanding the size and scope of our research investments while adding 11 key industry partners, said Hansen. I leave knowing SRC will always be a part of me, that SRC has made me a better leader, and with great confidence in the choice of Todd Younkin to succeed me. I look forward to working with him on a smooth transition and wish him great success in his new role.

On behalf of the entire Board of Directors I would like to thank Ken for his extensive contributions to SRC and our industry, said Vandentop. Kens loyalty, commitment, and deep personal integrity have served as an example for all of SRC.

Hansen will leave his current position on August 31, 2020. During his tenure as CEO of SRC, Hansen led a turnaround that reestablished SRC as the leading research consortium in the semiconductor industry and culminated in record financial performance.

Todd is the right person to lead SRC in the coming years, said Mukesh Khare, previous SRC Chairman of the Board and Head of the Search Committee. I look forward to working closely with him and SRCs leadership team to build an even stronger company, one well positioned to meet the research needs of the future.

SRC is a major driving force behind the university research that spurs innovation in the semiconductor industry and throughout our economy, said John Neuffer, President and CEO of the Semiconductor Industry Association (SIA). We thank Ken for his years of service and dedication to our industry and look forward to working with Todd as we continue to advance semiconductor research priorities with policymakers in Washington.

About SRC

Semiconductor Research Corporation (SRC.org), a world-renowned, high technology-based consortium, serves as a crossroads of collaboration between technology companies, academia, government agencies, and SRCs highly regarded engineers and scientists. Through its interdisciplinary research programs, SRC plays an indispensable part to address global challenges, using research and development strategies, advanced tools and technologies. Members of SRC work synergistically together, gain access to research results, fundamental IP, and highly experienced students to compete in the global marketplace and build the workforce of tomorrow.

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Todd Younkin Appointed President and CEO of Semiconductor Research Corporation (SRC) - Business Wire

Delaware to require teaching of the Holocaust, genocide – Forward

Auschwitz, a concentration camp in Poland.

(JTA) The state of Delaware will require the teaching of a Holocaust curriculum in middle and high schools starting with the 2021-22 term.

A bill signed into law late last month by Gov. John Carney mandates that public schools implement curriculum on the Holocaust and genocide for students in grades 6 through 12. Each district can develop its own curriculum, according to the Delaware State News.

The Halina Wind Preston Holocaust Education Committee of the Jewish Federation of Delaware, an interfaith volunteer group comprised of Holocaust survivors and their families, Holocaust scholars, teachers, clergy and community advocates will provide guidance and resources, according to the report.

The bill passed the state legislature unanimously.

Ann Jaffe, a Holocaust survivor living in Delaware, participated in the signing via videoconference. She spoke to the House and Senate about her experiences and has regularly spoken at schools in the state for several decades.

I am the last generation of first-hand witnesses, and I am 89-years-old. I am glad to know that when I will be gone, the schools will continue our work, Jaffe said in a statement at the signing, WDEL reported. The importance of teaching the Holocaust and about genocide in Delaware schools is great. How can we expect our children to remember and learn from history they did not know?

The post Delaware to require teaching of the Holocaust and genocide appeared first on Jewish Telegraphic Agency.

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Delaware to require teaching of the Holocaust, genocide - Forward

Lost your job due to coronavirus? Artificial intelligence could be your best friend in finding a new one – The Conversation US

Millions of Americans are unemployed and looking for work. Hiring continues, but theres far more demand for jobs than supply.

As scholars of human resources and management, we believe artificial intelligence could be a boon for job seekers who need an edge in a tight labor market like todays.

Whats more, our research suggests it can make the whole process of finding and changing jobs much less painful, more effective and potentially more lucrative.

Over the last three years, weve intensely studied the role of AI in recruiting. This research shows that job candidates are positively inclined to use AI in the recruiting process and find it more convenient than traditional analog approaches.

Although companies have been using AI in hiring for a few years, job applicants have only recently begun to discover the power of artificial intelligence to help them in their search.

In the old days, if you wanted to see what jobs were out there, you had to go on a job board like Monster.com, type in some keywords, and then get back hundreds or even thousands of open positions, depending on the keywords you used. Sorting through them all was a pain.

Today, with AI and companies like Eightfold, Skillroads and Fortay, it is less about job search and more about matchmaking. You answer a few questions about your capabilities and preferences and provide a link to your LinkedIn or other profiles. AI systems that have already logged not just open jobs but also analyzed the companies behind the openings based on things like reputation, culture and performance then produce match reports showing the best fits for you in terms of job and company.

Typically, there is an overall match score expressed as a percentage from 0% to 100% for each job. In many cases the report will even tell you which skills or capabilities you lack or have not included and how much their inclusion would increase your match score. The intent is to help you spend your time on opportunities that are more likely to result in your getting hired and being happy with the job and company after the hire.

Usually, when you look for a job, you apply to lots of openings and companies at the same time. That means two choices: save time by sending each one a mostly generic resume, with minor tweaks for each, or take the time and effort to adjust and tailor your resume to better fit specific jobs.

Today, AI tools can help customize your resume and cover letter for you. They can tell you what capabilities you might want to add to your resume, show how such additions would influence your chances of being hired and even rewrite your resume to better fit a specific job or company. They can also analyze you, the job and the company and craft a customized cover letter.

While researchers have not yet systemically examined the quality of human- versus AI-crafted cover letters, the AI-generated samples weve reviewed are difficult to distinguish from the ones weve seen MBA graduates write for themselves over the last 30 years as professors. Granted, for lots of lower-level jobs, cover letters are relics of the past. But for higher-level jobs, they are still used as an important screening mechanism.

Negotiations over compensation are another thorny issue in the job search.

Traditionally, applicants have been at a distinct informational disadvantage, making it harder to negotiate for the salary they may deserve based on what others earn for similar work. Now AI-enabled reports from PayScale.com, Salary.com, LinkedIn Salary and others provide salary and total compensation reports tailored to job title, education, experience, location and other factors. The data comes from company reported numbers, government statistics and self-reported compensation.

For self-reported data, the best sites conduct statistical tests to ensure the validity and accuracy of the data. This is only possible with large databases and serious number crunching abilities. PayScale.com, for example, has over 54 million respondents in its database and surveys more than 150,000 people per month to keep its reports up-to-date and its database growing.

Although no academics have yet tested if these reports result in better compensation packages than in the old days, research has long established that negotiating in general gets candidates better compensation offers, and that more information in that process is better than less.

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Use of these tools is growing, especially among young people.

A survey we conducted in 2018 found that half of employed workers aged 18 to 36 said that they were likely or highly likely to use AI tools in the job search and application process. And 64% of these respondents felt that AI-enabled tools were more convenient.

Most of the research on the use of AI in the hiring process including our own has focused on recruitment, however, and the use of the technology is expected to double over the next two years. Weve found it to be effective for companies, so it seems logical that it can be very useful for job candidates as well. In fact, at least US$2 billion in investments are fueling human resources startups aimed at using AI to help job candidates, according to our analysis of Crunchbase business data.

While more research is needed to determine exactly how effective these AI-enabled tools actually are, Americans who lost their jobs due to the coronavirus could use all the help they can get.

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Lost your job due to coronavirus? Artificial intelligence could be your best friend in finding a new one - The Conversation US