Litecoin Could Be Delisted from Large Cryptocurrency Exchanges Because of This Update – U.Today

Arman Shirinyan

Litecoin's future on centralized exchanges looks shady with implementation of new technology

With the introduction of the MWEB Litecoin update, the cryptocurrency becomes more private and focuses more on its on-chain security. While most cryptocurrency investors are welcoming the update, centralized and regulated cryptocurrency exchanges in countries like South Korea may initiate the delisting process due to potential legal issues.

The main issue with the new update, which will be activated on block 2257920, isimproved confidentiality betweensenders and receivers in a transaction. Mimblewimble Extension Blocks allow users to send coins to the extension block and back to the main chain.

Simply put, MWED opens up thepossibility of sending "confidential"transactions on a chain thathides the amount sent. Essentially, it makes the tracking of a sent sum impossible and nontaxable by authorities in countries like South Korea. Developers have also added that updates increase the network's throughput and transaction processing speed.

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Functions similar to the anonymous transactions are available on Monero cryptocurrency, which is also largely regulated in European and Asian legislatures and banned by the most centralized cryptocurrency exchanges.

According toUpbit's announcement, the exchange is always looking to prevent money laundering, which is why they will have no other choice but to delist Litecoin if they will see deposits to the exchange via Mimblewimble.

The exchange has also added that deposits made via the new technology will lead to a permanent loss of funds since the exchange will notbe available to verify the transacted amount orthe sender.

While Litecoin's place on large CEXes is questionable, decentralized exchanges are welcoming new functions thatmake Litecoin trading more secure and decentralized.

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Litecoin Could Be Delisted from Large Cryptocurrency Exchanges Because of This Update - U.Today

Ethereum Vs Cardano: Which Will Drive The Cryptocurrency Market In 2022? – NDTV Profit

Cardano and Ethereum are often compared to each other

Those who follow the world of cryptocurrencies must have heard of the Cardano vs Ethereum argument. There's a frequent comparison between Cardano (ADA) and Ethereum (ETH) because both networks provide similar services. Both the Ethereum and Cardano blockchains can be used for similar functions, such as running custom programming logic (smart contracts) and creating programmes (decentralised applications). Any blockchain network's core algorithm is used to create blocks and validate transactions. The key difference is that Ethereum's Proof-of-Work blockchain is less flexible than Cardano's Proof-of-Stake Ouroboros consensus method at the present.

In 2015, Ethereum was introduced as a blockchain platform. Ether (FTH) is the platform's cryptocurrency. Cardano was launched in 2017, and ADA is the platform's cryptocurrency.

Ethereum's Proof-of-Work blockchain has a proven track record. To keep the blockchain functioning, miners perform many complex calculations. One Ether is a unit of measurement for the amount of computational power used.

Similarly, Cardano's Ouroboros has a Proof-of-Stake consensus, where miners are substituted by validators. Traditional mining consumes a lot more energy and resources than Proof-of-Stake mining.

Since its inception, Ether has evolved tremendously and is still regarded as one of the most powerful cryptocurrencies. Cardano, on the other hand, is one of the most secure digital assets due to its meticulous development. ADA had previously been on a downward trend, but it has since become relatively cheap, making it an excellent investment option for existing investors.

Cardano appears to be a decent investment in the short to medium term. It is moderately priced and is likely to appreciate in value as the DApp market increases.

Ethereum, with its high market share and the planned improvements in Ethereum 2.0, is likely to be a good cryptocurrency to own in the long run.

However, despite these factors, it is difficult to tell which cryptocurrency will have a better chance in 2022. Both have had their ups and downs, and it is difficult to anticipate whose value may fall or rise.

As a result, investors should exercise caution before investing.

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Ethereum Vs Cardano: Which Will Drive The Cryptocurrency Market In 2022? - NDTV Profit

Weighing whether cryptocurrency, sports and fans are a good combination – The Athletic

Cryptocurrencies and the exchanges they trade on have been a runaway gravy train in sports in the past year, with athletes hawking them in ads, teams entering partnerships, arenas inking naming rights deals and even umpires wearing logos.

But as evidenced by last weeks crypto crash, theres a risk when investing in unregulated assets. So should famous athletes, teams and leagues be encouraging fans to buy in?

Arthur Solomon, a former executive at global public relations firm Burson-Marsteller, termed crypto endorsements by teams, leagues and athletes a disservice because its unregulated investment advice. There are professional investment advisers who are regulated by the government to give financial advice, and I believe that the FTC and other government agencies should not permit someone, just because he can hit a home run or throw a touchdown pass, to give financial advice on public airwaves, he said.

As for leagues and teams, Solomon is even more critical, calling them shameless and lumping crypto into the same category as beer and liquor and gambling commercials viewed by kids and vulnerable adults during games.

The concern critics have is not that teams and leagues will see sponsorships collapse but that the sports entities are encouraging fans to invest in a risky, unregulated market. Sports cultural commentator Bomani Jones dedicated a whole section of his HBO show to the space, which he described as a con.

People call it currency, but that is just a word they use to keep the fans off the scent, Jones said.

But not everyone sees an issue with the promotion of crypto in sports. Many athletes and teams got into crypto because its advertised as the future of money. It is viewed as the cool thing, with Tom Brady backing crypto exchange FTX in funny commercials and Steph Curry and Trevor Lawrence also backers, while Joe Burrow hypes Bitcoin.

Its new and exciting, said Doug Shabelman, CEO of Burns Sports & Entertainment, an agency that specializes in celebrity endorsement. So why shouldnt these guys want to go out and do it? You know, its something different than the usual, and theres money.

Crypto enthusiast Mark Cuban, owner of the Dallas Mavericks, doesnt see an issue.

Look at the stock market, Cuban wrote in an email. Facebook, Amazon and Apple have lost more in market cap than the entire crypto market. A ton of tech companies have lost 80 percent or more of their value. I dont see anyone questioning sponsorships by those companies.

The difference is those companies advertise to get consumers to buy or use their products, the same way potato chip brands or restaurant chains might. If their stock falls and the sponsorship goes away, it does not affect the fan who bought the underlying product.

Crypto sponsorships and endorsements are different in that they are seeking fans to put their money at risk. Still, Cuban writes, Their values go up and down depending on how they perform and how much risk investors want to take. In fact, the Nasdaq and crypto markets are pretty highly correlated. They tend to go up and down together.

While that may or may not be true, there is a risk to sports entities by closely aligning with volatile assets. Last week, the Washington Nationals, who have a $38 million sponsorship with cryptocurrency Terra, tweeted a hype video for the investment as the coin crashed. The team and Major League Baseball declined to comment.

The crypto crash, which at one point wiped out roughly $1 trillion of value, brought tales of investors losing their life savings. The crypto markets have stabilized somewhat this week, but the threat of wild volatility remains.

Will they be a reputational black eye? connected sports consultant Marc Ganis asked of crypto. This is where the teams need to balance money with risk reputational risk. The reality is that when a team signs a major sponsor or when a league signs a major sponsorship deal, there is an expectation that that is a first-tier company. And so it gets some of the credibility, some of the aura of the credibility that the league or the team has. And that gets conveyed on to the sponsor.

Clearly, there have not been such worries, evidenced by numerous sponsorships, including Crypto.coms 20-year, $700 million naming rights for the former Staples Center and FTXs $135 million deal to name the Miami Heat arena. FTX even has a patch deal for MLB umpire uniforms. There were so many crypto ads during the Super Bowl, which sold on average for over $6 million per 30-second spot, that some dubbed the game the Cryptobowl.

But while crypto is billed as the future of money, the category is more akin to an investment than a currency, though it is used in some transactions and a handful of athletes have famously converted their salaries into crypto. But even FTX founder Sam Bankman-Fried said recently that Bitcoin, the most popular crypto payment, has no future as a currency because the technological system could not handle it.

And former Federal Reserve chairman Ben Bernanke told CNBC this week: Bitcoin and other currencies, cryptocurrencies whose value changes minute to minute, theyve been successful as a speculative asset. And people are seeing the downside of that right now. But they were intended to be a substitute for fiat money. And I think, in that respect, they have not succeeded. Because if bitcoin were a substitute for fiat money, you could use bitcoin to go buy your groceries. Nobody buys groceries with bitcoin because its too expensive and too inconvenient to do that.

So I dont think that bitcoin is going to take over as an alternative form of money. Itll be around as long as people are believers and they want to speculate.

So if its a speculative asset, should sports teams, leagues and players be pumping it up? Other corners of finance, from derivatives to mortgage-backed securities, which sparked the 2008 financial crisis, dont have their own sports cheering section.

The NFL, which only in March allowed team sponsorship of crypto exchanges but not currencies, says it views crypto in the larger perspective of blockchain, the decentralized digital technology that underpins crypto. On blockchain, non-fungible tokens, which are digital pictures and highlights, have traded for millions of dollars, though the market has cooled.

It is a space we want to be thoughtful and careful, said Joe Ruggiero, the NFLs senior vice president of consumer products. But the league has interest in getting into the space because it is a way to engage with fans in an interesting way, he added, citing digital commemorative ticket stubs.

To date, only the Dallas Cowboys have inked a crypto exchange deal, withblockchain.com, but other teams are busy probing the space.

The NBA allows for deals in the cryptocurrency space, including crypto exchanges, but does not allow for the promotion of specific cryptocurrencies. The league advises its teams to vet potential partners before entering into any promotional or other arrangements. These basic rules are for the WNBA as well.

Major League Soccer, which has a younger demographic and is less financially robust than its four legacy peer leagues, has been wading into the crypto space, which also includes blockchain, NFTs and exchanges. In a bid to appeal to its younger, tech-savvy fan base, the league and its teams have struck several deals, including D.C. Uniteds three-year, $18 million jersey sponsorship signed in February with blockchain tech firm XDC Network.

In March, Nashville FC announced its sponsorship deal with digital assets management firm Valkyrie Investments would be paid in bitcoin, the first MLS team to take crypto instead of U.S. dollars for a partnership. Inter Miami and the New England Revolution also have struck crypto-related partnerships.

MLS declined to comment.

Defenders of sports engagement with crypto point to a difference between backing a specific coin versus the exchanges like FTX andcrypto.com that have spent vast sums thus far. Coinbase signed a deal in October to become the official cryptocurrency exchange of the NBA, WNBA and G League.

And Cuban wrote in an email, Unless a team has Terra as a sponsor, its a non-event. Terra is the crypto the Nats promote and which crashed dramatically last week.

Comparisons are also made with the dot-com bubble burst of the early 2000s. In the lead-up to it, internet companies like CMGI and PSINet and retailers such as pets.com spent heavily on sports, only to disappear and in some cases default on sponsorship payments. Many of the crypto exchanges are well financed, so their deals for naming rights to arenas and other deals for the time being look safe.

The concern critics have, however, is not that teams and leagues will see sponsorships collapse but that the sports entities are encouraging fans to invest in a risky, unregulated market.

David Carter, a sports marketing consultant and associate professor at the University of Southern Californias Marshall School of Business, said younger sports fans might view crypto simply as part of their lives now and dont treat it with the same risk-aversion and uncertainty as older people.

A lot of it has to do with the consumer theyre trying to reach, Carter said. A team, league or sports property, you understand that and youre taking a measured risk. One persons sin category is another persons compelling revenue stream.

Jonathan Jensen, a sports marketing expert and assistant professor at the University of North Carolina-Chapel Hill, said crypto wont be the last risky category to use sports to promote itself.

After fledgling tech firms, subprime mortgage companies and cryptocurrency, Im certain there will be another emerging, new industry that will utilize sports sponsorship to prop itself up, Jensen said. Its kind of built to do that. Sometimes it works, and oftentimes it doesnt.

(Top photo of Cowboys owner Jerry Jones presenting Blockchain.com CEO Peter Smith with a jersey after announcing a partnership: Richard Rodriguez / Getty Images)

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Weighing whether cryptocurrency, sports and fans are a good combination - The Athletic

Cryptocurrency donations to abortion rights groups soar after leaked Roe v Wade opinion – The Independent

Artist Molly Dickson swung into action when a leaked opinion suggested the U.S. Supreme Court was set to scrap Roe v. Wade, hurrying to pull together a collection of non-fungible tokens (NFTs) to raise money for abortion rights groups.

Dallas-based Dickson had already raised about $30,000 for abortion access in Texas following the states near-total ban by selling a selection of NFTs - digital assets often linked to an image or piece of artwork and bought with cryptocurrency.

With this months leak suggesting nationwide abortion rights were at risk, Dickson and her partners - Madison Page and Audrey Taylor Akwenye - decided to launch a much larger selection of NFTs with a fundraising target of $3 million.

When the leak occurred we decided we needed immediate, bold action for pro-choice organisations that help fund abortion access, Dickson and Page, whose collection is called Computer Cowgirls, told the Thomson Reuters Foundation by email.

They said a traditional web-based fundraising campaign would have struggled to gain the same amount of interest from donors.

So much money is pouring into crypto. We get a lot more attention, they said, without specifying how much they had raised since putting the new selection of 10,000 brightly coloured NFTs on sale.

Donations to abortion rights groups in the United States have surged since the publication of the leaked opinion that would strike down the landmark 1973 Roe v. Wade case that established the right to abortion.

Increasingly, some of these donations are in cryptocurrency, with contributions of nearly $70 million to nonprofits in 2021 on The Giving Block online platform https://thegivingblock.com/annual-report/ar21, a rise of more than 1,000 per cent from the previous year, according to the company.

NFT projects donated more than $12 million to charities via The Giving Block last year, its data showed. The average cryptocurrency donation was also bigger - more than $10,000 - compared to the average online cash donation of $128.

Cryptocurrencies such as bitcoin are well-suited for abortion rights groups because they offer more privacy than other digital payments, said William Luther, an associate professor of economics at Florida Atlantic University.

Its especially useful to donors, given the risk of reprisal from anti-abortion activists, said Luther, who researches cryptocurrencies.

UNIQUE RISKS

Cryptocurrencies are increasingly being adopted as an investment and as a hedge against inflation and instability.

Yet they are highly volatile, shedding some $800 billion in market value earlier this month, and more countries are clamping down on them, citing risks to financial stability and consumer protection.

Raising crypto for a cause came into focus earlier this year as Ukraines government appealed for donations of bitcoin and other digital tokens to help counter the Russian invasion.

Ukraine DAO, or decentralised autonomous organisation, raised more than $6 million from the sale of NFTs of the Ukrainian flag. A separate auction of NFTs https://www.avatarsforukraine.com last week was for medical aid.

Some advocates say that DAOs - where online communities use digital record-keeping technology blockchain to allow members to propose and vote on decisions about how the organisation is run - could be a model for businesses https://www.thomsonreuters.com/en-us/posts/legal/daos-business-structure.

Now, Dickson and Page have set up CowgirlDAO https://www.computercowgirls.io/cowgirldao to fund abortion rights groups in the United States, with about 200 DAO members voting on proposals for funding and beneficiaries.

Our inspiration was UkraineDAO, they said.

We intend to use these mechanics to mobilise a community of pro-choice activists and art collectors through CowgirlDAO.

But only 16% of Americans - most of the men - have experience with cryptocurrencies, according to a survey last year by the Pew Research Center

And while NFTs have seen surging interest, with sales exceeding $24 billion in 2021 compared to just under $95 million the year before, there has also been a massive uptick in fraud and growing pushback on environmental and economic concerns.

REPUTATIONAL RISK

While nonprofits including the U.N. childrens fund UNICEF and Save the Children accept cryptocurrency donations, most abortion and healthcare providers do not yet accept crypto. Some are beginning to embrace them, however.

Reproductive rights charity International Planned Parenthood Federation (IPPF) said it received a five-figure crypto donation earlier this year from a womens startup.

As crypto continues to be an increasing trend among philanthropists, (IPPF) sees crypto as a catalytic fundraising medium, a spokesperson said.

But organisations considering accepting cryptocurrency donations must consider the unique risks, Luther said.

Cryptocurrencies tend to be more volatile than other assets. Organisations accepting cryptocurrencies also face a reputational risk, as they might be accused of supporting money laundering or contributing to climate change, he said.

The unique proposition of the blockchain - where every transaction is immutably preserved and can be traced - poses risks to those getting abortions and to those paying for them, noted Bennett Tomlin, co-host of the podcast Crypto Critics Corner.

The end result of transferring funds on a public ledger that is easily surveilled to people who are trying to do dangerous things has a lot of potential externalities, he said.

Still, Dickson and Page said DAOs such as CowgirlDAO can become influential in funding abortion access as they are a more democratised way of crowdsourcing resources.

The community shapes the project on an ongoing basis. And because they have ownership status in the asset collection, the incentive to participate is so much more powerful.

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Cryptocurrency donations to abortion rights groups soar after leaked Roe v Wade opinion - The Independent

4 Common Cryptocurrency Investment Mistakes and How to Avoid Them – CrowdWisdom360 – www.crowdwisdom.live

Cryptocurrency Investment Mistakes: Here are the 4 Common Mistakes To Avoid When Making an Investment in Cryptocurrency

For many novice investors, cryptocurrencies and digital assets represent a more appealing and accessible inroad into investing than more conventional investment products such as stocks, bonds, and mutual funds. Crypto traders can buy and sell digital currency through online brokers and centralized or decentralized crypto exchanges. These platforms often give them much more flexibility and have much lower barriers to entry than traditional financial institutions.

Ease of access to crypto trading platforms has many new traders jumping at opportunities to invest, especially among the youth. However, this escalating hype coupled with cryptocurrencies price volatility can lead investors to make costly mistakes if they arent careful. Above all, its important for crypto investors to do their research and start by investing conservatively. This will help them avoid incurring hefty losses from ill-conceived crypto trades.

Losing the Keys to Your Digital Wallet

Crypto assets are most often traded through digital wallets, which are protected by a set of unique cryptographic keys. Transactions with some coins even operate exclusively through these wallets. One example is the privacy coin Monero, which can only be sent and received with a dedicated XMR wallet. Because crypto wallets are such an important part of crypto trading, its essential to always keep your wallet keys safe and secure.

Cryptographic keys are used to create and sign transactions on your chosen cryptocurrencys blockchain. Each set of keys serves as a unique identifying code for its user, preventing unauthorized parties from accessing and using your crypto wallet. Its important to bear in mind, however, that you cant recover or reset your wallet keys in the same way that you might with a password or PIN code. Losing your keys thus means losing access to all digital assets kept in your wallet.

Unfortunately, its quite common for investors to lose or forget their private keys. In fact, a lot of todays cryptocurrency remains inaccessible due to this costly error. A report from Chainalysis reports that over 20 percent of the 18.5 million Bitcoin (BTC) mined to date has been lost due to misplaced keys.

You can avoid this mistake by storing your keys in a safe place, such as on an external hard drive. Some investors even save their keys by printing them out or writing them down on a piece of paper rather than in a digital document. For extra protection, they may keep this paper on them at all times or store it in a locked vault.

Excessive Diversification

Rather than putting all your eggs in one basket, diversifying your portfolio is considered a smart financial move when dealing with traditional investing products. That said, doing so is almost a must for building a strong crypto portfolio given digital assets extreme price volatility. However, its also possible to over-diversify your cryptocurrency portfolio given the sheer number of coins available on the market today.

A crypto investor who puts money down on too many coins may find themselves holding a large number of poorly performing assets, which can lead to significant losses in the long run. Rather than buying up every coin you see, invest in coins with promising growth trajectories. At every turn, it helps to carefully research any tokens youre interested in and how theyre expected to perform under a variety of market conditions.

Mistyping Trade Orders or Addresses

Be very careful when typing out trade orders on crypto investing platforms, as investors are often prone to fat finger errors. Mistyping decimal places, adding additional zeroes, and other similar errors can cause you to lose a lot of your investment money in the blink of an eye. Thus, its in your best interest to double- and even triple-check each transaction thoroughly before confirming it.

Investors should exercise an equal amount of caution when sending crypto to other users, as theres no way to retrieve assets that are mistakenly sent to the wrong address. Unlike traditional bank transfers, transactions on the blockchain are immutable and cant be reversed. These kinds of mistakes can deal painful blows to your investment portfolio, so take your time entering your transaction details to make sure theyre accurately encoded.

Storing Your Coins Online

Most crypto investors, especially those new to trading crypto, access their coins through centralized exchanges. These platforms operate similarly to traditional banks in that they store your coins on their servers for you rather than giving you access to your own digital wallets. Because the exchange will continue to hold any tokens you own, your assets may be vulnerable to hacking operations and other cyberattacks.

Even high-profile crypto exchanges have fallen victim to attacks from cybercriminals multiple times, leading to millions of dollars worth of stolen assets that had been stored on these platforms. To protect your assets, the best option is to store them offline. Set yourself up with either a software or hardware wallet so that you can withdraw and store your coins securely after you buy them.

Investing in crypto can be an exciting and profitable venture. However, as cryptocurrencies are a fairly young asset class and are therefore highly speculative, crypto trading remains quite risky. As with more traditional assets, exercising caution and researching thoroughly before investing can help you minimize losses and make the most of your investments.

Read: LOOPRING Price Prediction

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Eigen Technologies Named to Forbes AI 50 List of Top Artificial Intelligence Companies of 2022 – Business Wire

NEW YORK--(BUSINESS WIRE)--Eigen Technologies (Eigen), the global intelligent document processing (IDP) provider, is proud to announce that the company has been named on the fourth annual Forbes AI 50 list 2022 for North America. Produced in partnership with Sequoia Capital, this list recognizes the standout privately held companies in North America that are making the most interesting and impactful uses of AI.

In selecting honorees for this years list, Forbes evaluated hundreds of submissions, handpicking the top 50 most compelling companies. These are the businesses that are leading in the development and use of AI technology. With its focus on no-code, easy to use AI-powered IDP software with a small data approach, Eigen is a standout example of the type of business that embodies these qualities.

Dr. Lewis Z. Liu, Co-Founder & CEO, Eigen Technologies said:

Eigen has always been focused on taking cutting-edge technology and applying it to solve real world business problems, so we are absolutely thrilled to be recognized by Forbes as one of the most impactful AI businesses. We have won many awards over the years but being listed among these AI innovators is particularly special as it recognizes the very qualities that we seek to live by at Eigen. IDP technology, such as ours, is at the forefront of the next revolution in how organizations make use of the 80-90% of their data that is currently trapped and unusable. We pioneered the small data approach that is essential to turning this information into structured usable data and as a result were seeing fantastic traction in the market. We see this award as a recognition of our pioneering work that shows were on the right path as we scale.

About Eigen Technologies

Eigen is an intelligent document processing (IDP) company that enables its clients to quickly and precisely extract answers from their documents, so they can better manage risk, scale operations, automate processes and navigate dynamic regulatory environments.

Eigens customizable, no-code AI-powered platform uses machine learning to automate the extraction of answers from documents and can be applied to a wide variety of use cases. It understands context and delivers better accuracy on far fewer training documents, while protecting the security of clients data.

Our clients include some of the best-known and respected names in finance, insurance, law and professional services, including Goldman Sachs, ING, BlackRock, Aviva and Allen & Overy. Almost half of all global systemically important banks (G-SIBs) use Eigen to overcome their document and data challenges. Eigen is backed by Goldman Sachs, Temasek, Lakestar, Dawn Capital, ING Ventures, Anthemis and the Sony Innovation Fund by IGV.

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Eigen Technologies Named to Forbes AI 50 List of Top Artificial Intelligence Companies of 2022 - Business Wire

Artificial intelligence drives the way to net-zero emissions – Sustainability Magazine

Op-ed: Aaron Yeardley, Carbon Reduction Engineer, Tunley Engineering

The fourth industrial revolution (Industry 4.0) is already happening, and its transforming the way manufacturing operations are carried out. Industry 4.0 is a product of the digital era as automation and data exchange in manufacturing technologies shift the central industrial control system to a smart setup that bridges the physical and digital world, addressed via the Internet of Things (IoT).

Industry 4.0 is creating cyber-physical systems that can network a production process enabling value creation and real-time optimisation. The main factor driving the revolution is the advances in artificial intelligence (AI) and machine learning. The complex algorithms involved in AI use the data collected from cyber-physical systems, resulting in smart manufacturing.

The impact that Industry 4.0 will have on manufacturing will be astronomical as operations can be automatically optimised to produce increased profit margins. However, the use of AI and smart manufacturing can also benefit the environment. The technologies used to optimise profits can also be used to produce insights into a companys carbon footprint and accelerate its sustainability. Some of these methods are available to help companies reduce their GHG emissions now. Other methods have the potential to reduce global GHG emissions in the future.

Scope 3 emissions are the emissions from a companys supply chain, both upstream and downstream activities. This means scope 3 covers all of a companys GHG emission sources except those that are directly created by the company and those created from using electricity. It comes as no surprise that on average Scope 3 emissions are 5.5 times greater than the combined amount from Scope 1 and Scope 2. Therefore, companies should ensure all three scopes are quantitated in their GHG emissions baseline.

However, in comparison to Scope 1 and Scope 2 emissions, Scope 3 emissions are difficult to measure and calculate. This is because of a lack of transparency in supply chains, lack of connections with suppliers, and complex industrial standards that provide misleading information. The major issues concerning Scope 3 emissions are as follows:

AI-based tools can help establish baseline Scope 3 emissions for companies as they are used to model an entire supply chain. The tools can quickly and efficiently sort through large volumes of data collected from sensors. If a company deploys enough sensors across the whole area of operations, it can identify sources of emissions and even detect methane plumes.

A digital twin is an AI model that works as a digital representation of a physical piece of equipment or an entire system. A digital twin can help the industry optimise energy management by using the AI surrogate models to better monitor and distribute energy resources and provide forecasts to allow for better preparation. A digital twin will optimise many sources of data and bring them onto a dashboard so that users can visualise it in real-time. For example, a case study in the Nanyang Technological University used digital twins across 200 campus buildings over five years and managed to save 31% in energy and 9,600 tCO2e. The research used IESs ICL technology to plan, operate, and manage campus facilities to minimise energy consumption.

Digital twins can be used as virtual replicas of building systems, industrial processes, vehicles, and many other opportunities. The virtual environment enables more testing and iterations so that everything can be optimised to its best performance. This means digital twins can be used to optimise building management making smart strategies that are based on carbon reduction.

Predictive maintenance of machines and equipment used in industry is now becoming common practice because it saves companies costs in performing scheduled maintenance, or costs in fixing broken equipment. The AI-based tool uses machine learning to learn how historical sensor data maps to historical maintenance records. Once a machine learning algorithm is trained using the historical data, it can successfully predict when maintenance is required based on live sensor readings in a plant. Predictive maintenance accurately models the wear and tear of machinery that is currently in use.

The best part of predictive maintenance is that it does not require additional costs for extra monitoring. Algorithms have been created that provide accurate predictions based on operational telemetry data that is already available. Predictive maintenance combined with other AI-based methods such as maintenance time estimation and maintenance task scheduling can be used to create an optimal maintenance workflow for industrial processes. Conversely, improving current maintenance regimes which often contribute to unplanned downtime, quality defects and accidents is appealing for everybody.

An optimal maintenance schedule produced from predictive maintenance prevents work that often is not required. Carbon savings will be made via the controlled deployment of spare parts, less travel for people to come to the site, and less hot shooting of spare parts. Intervening with maintenance only when required and not a moment too late will save on the use of electricity, efficiency (by preventing declining performance) and human labour. Additionally, systems can employ predictive maintenance on pipes that are liable to spring leaks, to minimise the direct release of GHGs such as HFCs and natural gas. Thus, it has huge potential for carbon savings.

Research has shown that underpinning the scheduling of maintenance activities on predictive maintenance and maintenance time estimation can produce an optimal maintenance scheduling (Yeardley, Ejeh, Allen, Brown, & Cordiner, 2021). The work optimised the scheduling by minimising costs based on plant layout, downtime, and labour constraints. However, scheduling can also be planned by optimising the schedule concerning carbon emissions. In this situation, maintenance activities can be performed so that fewer journeys are made and GHG emissions are saved.

The internet of things (IoT) is the digital industrial control system, a network of physical objects that are connected over the internet by sensors, software and other technologies that exchange data with each thing. In time, the implementation of the IoT will be worldwide and every single production process and supply chain will be available as a virtual image.

Open access to a worldwide implementation of the IoT has the potential to provide a truly circular economy. Product designers can use the information available from the IoT and create value from other peoples waste. Theoretically, we could establish a work where manufacturing processes are all linked so that there is zero extracted raw materials, zero waste disposed and net-zero emissions.

Currently, the world has developed manufacturing processes one at a time, not interconnected value chains across industries. It may be a long time until the IoT creates the worldwide virtual image required, but once it has the technology is powerful enough to address losses from each process and exchange material between connected companies. Both materials and energy consumption can be shared to lower CO2 emissions drastically. It may take decades, but the IoT provides the technology to create a circular economy.

ConclusionAI has enormous potential to benefit the environment and drive the world to net-zero. The current portfolio of research being conducted at the Alan Turning Institute (UKs national centre for data science) includes projects that explore how machine learning can be part of the solution to climate change. For example, an electricity control room algorithm is being developed to provide decision support and ensure energy security for a decarbonised system. The national grids electricity planning is improved by forecasting the electricity demand and optimising the schedule. Further, Industry 4.0 can plan for the impact that global warming and decarbonisation strategies have on our lives.

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Artificial intelligence drives the way to net-zero emissions - Sustainability Magazine

Artificial intelligence tapped to fight Western wildfires – Portland Press Herald – Press Herald

DENVER With wildfires becoming bigger and more destructive as the West dries out and heats up, agencies and officials tasked with preventing and battling the blazes could soon have a new tool to add to their arsenal of prescribed burns, pick axes, chain saws and aircraft.

The high-tech help could come by way of an area not normally associated with fighting wildfires: artificial intelligence. And space.

Lockheed Martin Space, based in Jefferson County, is tapping decades of experience of managing satellites, exploring space and providing information for the U.S. military to offer more accurate data quicker to ground crews. They are talking to the U.S. Forest Service, university researchers and a Colorado state agency about how their their technology could help.

By generating more timely information about on-the-ground conditions and running computer programs to process massive amounts of data, Lockheed Martin representatives say they can map fire perimeters in minutes rather than the hours it can take now. They say the artificial intelligence, or AI, and machine learning the company has applied to military use can enhance predictions about a fires direction and speed.

The scenario that wildland fire operators and commanders work in is very similar to that of the organizations and folks who defend our homeland and allies. Its a dynamic environment across multiple activities and responsibilities, said Dan Lordan, senior manager for AI integration at Lockheed Martins Artificial Intelligence Center.

Lockheed Martin aims to use its technology developed over years in other areas to reduce the time it takes to gather information and make decisions about wildfires, said Rich Carter, business development director for Lockheed Martin Spaces Mission Solutions.

The quicker you can react, hopefully then you can contain the fire faster and protect peoples properties and lives, Carter said.

The concept of a regular fire season has all but vanished as drought and warmer temperatures make Western lands ripe for ignition. At the end of December, the Marshall fire burned 991 homes and killed two people in Boulder County. The Denver area just experienced its third driest-ever April with only 0.06 of an inch of moisture, according to the National Weather Service.

Colorado had the highest number of fire-weather alerts in April than any other April in the past 15 years. Crews have quickly contained wind-driven fires that forced evacuations along the Front Range and on the Eastern Plains. But six families in Monte Vista lost their homes in April when a fire burned part of the southern Colorado town.

Since 2014, the Colorado Division of Fire Prevention and Control has flown planes equipped with infrared and color sensors to detect wildfires and provide the most up-to-date information possible to crews on the ground. The onboard equipment is integrated with the Colorado Wildfire Information System, a database that provides images and details to local fire managers.

Last year we found almost 200 new fires that nobody knew anything about, said Bruce Dikken, unit chief for the agencys multi-mission aircraft program. I dont know if any of those 200 fires would have become big fires. I know they didnt become big fires because we found them.

When the two Pilatus PC-12 airplanes began flying in 2014, Colorado was the only state with such a program conveying the information in near real time, Dikken said. Lockheed Martin representatives have spent time in the air on the planes recently to see if its AI can speed up the process.

We dont find every single fire that we fly over and it can certainly be faster if we could employ some kind of technology that might, for instance, automatically draw the fire perimeter, Dikken said. Right now, its very much a manual process.

Something like the 2020 Cameron Peak fire, which at 208,663 acres is Colorados largest wildfire, could take hours to map, Dikken said.

And often the people on the planes are tracking several fires at the same time. Dikken said the faster they can collect and process the data on a fires perimeter, the faster they can move to the next fire. If it takes a couple of hours to map a fire, what I drew at the beginning may be a little bit different now, he said.

Lordan said Lockheed Martin engineers who have flown with the state crews, using the video and images gathered on the flights, have been able to produce fire maps in as little as 15 minutes.

The company has talked to the state about possibly carrying an additional computer that could help crunch all that information and transmit the map of the fire while still in flight to crews on the ground, Dikken said. The agency is waiting to hear the results of Lockheed Martins experiences aboard the aircraft and how the AI might help the state, he added.

Actionable intelligence

The company is also talking to researchers at the U.S. Forest Service Missoula Fire Sciences Laboratory in Montana. Mark Finney, a research forester, said its early in discussions with Lockheed Martin.

They have a strong interest in applying their skills and capabilities to the wildland fire problem, and I think that would be welcome, Finney said.

The lab in Missoula has been involved in fire research since 1960 and developed most of the fire-management tools used for operations and planning, Finney said. Were pretty well situated to understand where new things and capabilities might be of use in the future and some of these things certainly might be.

However, Lockheed Martin is focused on technology and thats not really been where the most effective use of our efforts would be, Finney said.

Prevention and mitigation and preemptive kind of management activities are where the great opportunities are to change the trajectory were on, Finney said. Improving reactive management is unlikely to yield huge benefits because the underlying source of the problem is the fuel structure across large landscapes as well as climate change.

Logging and prescribed burns, or fires started under controlled conditions, are some of the management practices used to get rid of fuel sources or create a more diverse landscape. But those methods have sometimes met resistance, Finney said.

As bad as the Cameron Peak fire was, Finney said the prescribed burns the Arapaho and Roosevelt National Forests did through the years blunted the blazes intensity and changed the flames movement in spots.

Unfortunately, they hadnt had time to finish their planned work, Finney said.

Lordan said the value of artificial intelligence, whether in preventing fires or responding to a fire, is producing accurate and timely information for fire managers, what he called actionable intelligence.

One example, Lordan said, is information gathered and managed by federal agencies on the types and conditions of vegetation across the country. He said updates are done every two to three two years. Lockheed Martin uses data from satellites managed by the European Space Agency that updates the information about every five days.

Lockheed is working with Nvidia, a California software company, to produce a digital simulation of a wildfire based on an areas topography, condition of the vegetation, wind and weather to help forecast where and how it will burn. After the fact, the companies used the information about the Cameron Peak fire, plugging in the more timely satellite data on fuel conditions, and generated a video simulation that Lordan said was similar to the actual fires behavior and movement.

While appreciating the help technology provides, both Dikken with the state of Colorado and Finney with the Forest Service said there will always be a need for ground-truthing by people.

Applying AI to fighting wildfires isnt about taking people out of the loop, Lockheed Martin spokesman Chip Eschenfelder said. Somebody will always be in the loop, but people currently in the loop are besieged by so much data they cant sort through it fast enough. Thats where this is coming from.

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Artificial intelligence tapped to fight Western wildfires - Portland Press Herald - Press Herald

Global Artificial Intelligence in Drug Discovery Market Research Report to 2026 – AI Cloud to Create a Streamlined and Automated Approach in Drug…

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Drug Discovery Market Research Report by Offering (Services and Software), Application, End User, Region (Americas, Asia-Pacific, and Europe, Middle East & Africa) - Global Forecast to 2026 - Cumulative Impact of COVID-19" report has been added to ResearchAndMarkets.com's offering.

The Global Artificial Intelligence in Drug Discovery Market size was estimated at USD 566.22 million in 2020, USD 701.05 million in 2021, and is projected to grow at a Compound Annual Growth Rate (CAGR) of 25.06% to reach USD 2,166.65 million by 2026.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Drug Discovery Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets

3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments

4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Artificial Intelligence in Drug Discovery Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence in Drug Discovery Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence in Drug Discovery Market?

4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence in Drug Discovery Market?

5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence in Drug Discovery Market?

6. What is the market share of the leading vendors in the Global Artificial Intelligence in Drug Discovery Market?

7. What modes and strategic moves are considered suitable for entering the Global Artificial Intelligence in Drug Discovery Market?

Market Dynamics

Drivers

Restraints

Opportunities

Challenges

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/mgxxoa

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Global Artificial Intelligence in Drug Discovery Market Research Report to 2026 - AI Cloud to Create a Streamlined and Automated Approach in Drug...

Adoption of AI/ML: How artificial intelligence is scaling up the education industry – The Financial Express

With the advancement of technology, artificial intelligence and machine learning (AI/ML) is on the verge of becoming an integral part of every industry, and education is no exception. With AI being enabled, learning can be customised for students. In the last few years, due to the emergence of machine learning, data has been treated as a prime knowledge resource and it is valued. Simultaneously, tech-based industry has upped the demand for AI/ML rapidly, therefore more students are taking up the course due to good career opportunities, Rajesh Khanna, professor, president, NIIT University, said.

Besides courses, it is has been observed that the such technology is being leveraged by ed-tech platforms as an business strategy enhancing tool. Starting from career counselling to exam proctoring, ed-techs have utilised AI/ML to accelerate the accuracy and productivity. There are multiple options when it comes to career counselling and opportunities. AI/ML can provide a good fit option for students when the right algorithm is taken into consideration, Rohan Pasari, CEO, Cialfo, said.

Further, AI/ML is used to conduct various tests online, so much so that it being now believed that it puts a seal to the authenticity of the process, as it gives the ability to remotely invigilate the test. On photographs taken at an interval, an AI algorithm is run to analyse the accuracy and authenticity of the examination. In CY21, Mettle conducted 20 million assessments across the globe on the online platform, out of which 16 million were remotely invigilated, Siddhartha Gupta, CEO, Mercer Mettle, a tech-based exam assessment platform, said.

According to Rackspaces AI/ML Annual Research Report 2022, AI/ML has been considered as the top two most important strategic technologies, along with cybersecurity. The report shows that up to 72% of respondents have noted AI/ML as part of their business strategy, IT strategy or both. Initially, the kind of industries which would have benefited from AI/ML were the financial market based companies. But the time has come that heavy machinery is now opening up to AI and ML to figure out and address the problems in a more distinct and accurate manner, Khanna added.

Although penetration of tech-based education can upskill the students, it is believed that enabling technologies is associated with various challenges and risk factors. The ministry report on school education 2020-21 revealed that post-pandemic, the dropout rate of students increased to 8.9% from 2.6% as the main reason being closure of schools and irregular online classes. In places like rural India, accessibility has always been a point of contention, which has also resulted in a digital divide. Whenever a new technology is enabled, the magnification of inequality also takes place. Places where devices and connectivity are not strongly available, they will definitely suffer. But the gap has to be filled by non-government orgnisation (NGOs) and government intervention by providing ways to resolve the issues, Khanna said.

Read Also: Union Education Minister, Shri Dharmendra Pradhan chairs meeting on formulation of HECI

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Adoption of AI/ML: How artificial intelligence is scaling up the education industry - The Financial Express