Category Archives: Artificial Intelligence

NEW YORK (Reuters) - U.S. technology company The Bitfury Group has formed a partnership with Insilico Medicine, a Baltimore-based medical artificial intelligence (AI) firm, to create new applications for the healthcare industry using blockchain, Bitfury's chief executive officer said on Friday.

Blockchain is a digital ledger of transactions that gained prominence as the software underpinning the digital currency bitcoin. The technology, being developed in the public and private sectors, has gained attention globally for its ability to permanently record and track assets or transactions across all industries.

The two companies signed a memorandum of understanding last month for collaboration to study and develop blockchain and AI solutions for sharing, managing, tracking and validating healthcare data, said Bitfury founder and CEO Valery Vavilov in an email to Reuters. The collaboration is in an early stage and there were no details available about potential projects or specific uses.

Artificial intelligence in the healthcare sector uses algorithms and software to mimic human ability in analyzing complex medical data. Vast amounts of healthcare data are pushing the development of AI applications.

Vavilov said both companies will use Bitfury's Exonum blockchain platform to store and secure health data in a system compatible with artificial intelligence.

"AI has not reached its full potential for the healthcare industry yet because it requires a large and diverse range of data to learn from in order to ensure accuracy and provide actionable results," said the Bitfury chief executive.

Healthcare AI is expanding by an annual rate of 40 percent, research firm Frost & Sullivan said in a recent study. It said global revenue generated by artificial intelligence systems will soar to $6.7 billion by 2021 from $811 million in 2015.

"A blockchain-based medical records system could safeguard patient data and allow for improved interoperability between doctors and hospitals, while also giving patients more ownership over their own records," Vavilov said.

Reporting by Gertrude Chavez-Dreyfuss; Editing by David Gregorio

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US blockchain company in tie-up on medical artificial intelligence - Reuters

Posted August 11, 2017 11:58:38

Artificial intelligence is becoming commonplace, from your smartphone and your Amazon account to the driverless cars that will soon grace public roads in Australia.

Often, the response to this reality is one of trepidation and concern, about mass unemployment and the dominance of Big Tech. But that's not always the case.

"Art is one of the last domains in AI where there is an optimistic view on how humans and machines can work together," says Dave King, founder of Move 37, a creative AI company.

He says creativity is not a God-given thing. It's a process, and it takes practice.

"One of the most interesting aspects of creativity is that ability to combine ideas or to draw things together," he says.

"If you have an algorithm that is working for you in the way you want it to it can source and discover lots and lots of different things."

AI is already being used in a range of artistic fields. Algorithms trained on millions of pages of romance novels have been used to write poems, and the recent Robot Art Competition showed a range of paintings with brushwork so sophisticated it could have been done by a human hand.

Jon McCormack is an artist and professor of computer science at Monash University whose work incorporates algorithms.

His series Fifty Sisters (2012) featured images of futuristic-looking plants that were "algorithmically grown" from computer code. In another work, titled Eden, he created an installation featuring "virtual creatures" whose movements were influenced by gallery visitors entering the space.

McCormack says when there is concern about AI, it is understandable.

"We're naturally scared of anything where we take away something from people, particularly something as precious as being creative and art, which we associate with being the most fundamental human [trait] that thing that differentiates us from every other species on the planet," he said.

After all, as AI expert Professor Toby Walsh notes: "We have one of the most creative brains out there."

"One of the oldest jobs on the planet, being a carpenter or an artisan, we will value most [in the future] because we will like to see an object carved or touched by the human hand, not a machine."

Artists have always used tools to create their work: for Van Gogh, it was a paint brush; for Henri Cartier-Bresson, a Leica camera.

With AI, however, the question becomes one of authorship.

"I see myself as being the artist," McCormack says of his compositions. "The computer is still very primitive it doesn't have the same capabilities as a human creative, but it's capable of doing things that complement our intelligence.

King says AI currently can only bring a limited perspective to artistic practice.

"They can only draw on what they've been trained on," he says, referring to the reams of data used to create artificial intelligence. "Whereas the human condition is expansive and broad and brings a lot more depth of perspective to it."

By itself, AI can certainly generate things that look like art, McCormack says. Whether you could consider it art is a harder question.

"So much of what we think about art is humans communicating to each other," he says.

"As soon as you bring a computer into the mix, suddenly you've got a non-human entity trying to fulfil the role that used to be occupied exclusively by people."

Soon, however, it may be possible to go further; to consider the machine not just a tool, but a partner or collaborator, with its own ability to create.

"We always think of Lennon and McCartney as being the great musical creative partnership," McCormack says.

"Will we eventually see a point in time where we have a human and computer partnership that we acknowledge as being more than the sum of its parts?

"If the art was really, really good if it moved us emotionally in the way the best art does then I think we would come to start to accept art that's made by machines."

Topics: arts-and-entertainment, robots-and-artificial-intelligence, science-and-technology, australia

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Artificial intelligence and creativity: If robots can make art, what's left for us? - ABC Online

Machine learning algorithms have successfully identified plant species in massive herbaria just by looking at the dried specimens. According to researchers, similar AI approaches could also be used identify the likes of fly larvae and plant fossils. From Nature:

There are roughly 3,000 herbaria in the world, hosting an estimated 350 million specimens only a fraction of which has been digitized. But the swelling data sets, along with advances in computing techniques, enticed computer scientist Erick Mata-Montero of the Costa Rica Institute of Technology in Cartago and botanist Pierre Bonnet of the French Agricultural Research Centre for International Development in Montpellier, to see what they could make of the data.

Researchers trained... algorithms on more than 260,000 scans of herbarium sheets, encompassing more than 1,000 species. The computer program eventually identified species with nearly 80% accuracy: the correct answer was within the algorithms top 5 picks 90% of the time. That, says (Penn State paleobotanist Peter) Wilf, probably out-performs a human taxonomist by quite a bit.

Such results often worry botanists, Bonnet says, many of whom already feel that their field is undervalued. People feel this kind of technology could be something that will decrease the value of botanical expertise, he says. But this approach is only possible because it is based on the human expertise. It will never remove the human expertise. People would also still need to verify the results, he adds.

"Going deeper in the automated identification of Herbarium specimens" (BMC Evolutionary Biology)

In this TEDx Talk, science writer and umbraphile (an eclipse chaser) David Baron emphasizes the importance of witnessing a total solar eclipse firsthand (eye?) at least once in your lifetime.

Below youll find an unhurried interview with Dr. Adam Gazzaley, who runs one of the West Coasts largest neuroscience labs at UCSF. There, his team carefully crafts video games with the potential to cure a wide range of neurological ailments. A direct heir to Adams research is now up for final FDA approval as a []

On August 20 and September 5, 1977, NASA launched two spacecraft, Voyager 1 and 2, on a grand tour of the solar system and into the mysteries of interstellar space. It was an incredibly audacious mission, and its still going. My friend Timothy Ferris produced the Voyager golden record thats attached to each of the []

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Artificial intelligence identifies plant species by looking at them - Boing Boing

Secretary of Defense Jim Mattis waves as he walks to his vehicle after speaking at the Defense Innovation Unit Experimental in Mountain View, Aug. 10, 2017.

Jeff Chiu/AP

Defense Secretary James Mattis has a lot on his mind these days. North Korea , obviously. China's expanding claims on the South China sea. Afghanistan, Iraq, Syria. And, closer to home, the Pentagon lagging behind the tech industry in leveraging artificial intelligence.

Mattis admitted to that concern Thursday during the Silicon Valley leg of a West Coast tour that includes visits to Amazon and Google . When WIRED asked Mattis if the US had ambitions to harness recent progress in AI for military purposes like those recently espoused by China, he said his department needed to do more with the technology.

It's got to be better integrated by the Department of Defense, because I see many of the greatest advances out here on the West Coast in private industry, Mattis said.

Mattis, speaking in Mountain View, a stones throw from Googles campus, hopes the tech industry will help the Pentagon catch up. He was visiting the Defense Innovation Unit Experimental, an organization within the DoD started by his predecessor Ashton Carter in 2015 to make it easier for smaller tech companies to partner with the Department of Defense and the military. DIUx has so far sunk $100 million into 45 contracts, including with companies developing small autonomous drones that could explore buildings during military raids, and a tooth-mounted headset and microphone.

Mattis said Thursday he wanted to see the organization increase the infusion of tech industry savvy into his department. Theres no doubt in my mind DIUx will continue to exist; it will grow in its influence on the Department of Defense, he said.

The Pentagon has a long record of researching and deploying artificial intelligence and automation technology. But AI is rapidly progressing, and the most significant developments have come out of the commercial and academic spheres.

Over the past five years, leading tech companies and their lavishly funded AI labs have sucked up ideas and talent from universities. They're now in a race to spin up the best new products and experimental projects. Google, for example, has recently used machine learning research to power up its automatic translation and cut data-center cooling bills. Waymo, Alphabet's autonomous-car company, uses AI in developing the technology in its self-driving vehicles.

Making smart use of artificial intelligence looks to be crucial to military advancement and dominance. Just last month, Chinas State Council released a detailed strategy for artificial intelligence across the economy and in its military. China's strategic interest in AI led DIUx to prepare an internal report this year suggesting scrutiny and restrictions on Chinese investment in Silicon Valley companies. Texas senior senator John Cornyn has proposed legislation that could enable that policy.

Issie Lapowsky

Meet the Nerds Coding Their Way Through the Afghanistan War

Nicholas Thompson

The Pentagon Looks to Videogames for the Future of War

Matt Simon

The DoD Brings on Tech's Brightest Mindsand Problems

A recent Harvard report commissioned by the Office of the Director of National Intelligence found that AI-based technologies, like autonomous vehicles, are poised to make advance militaries much more powerfuland possibly cause a transformation similar in scale to the advent of nuclear weapons. But the US does not have a public, high-level national or defense strategy for artificial intelligence in the same way as Chinaperhaps owing mostly to differences of political style.

On Thursday, Mattis professed confidence that his department would figure out how to make more with AI, without offering specifics. The bottom line is well get better at integrating advances in AI that are being taken here in the Valley into the US military, he said.

There is another bottom line to consider. The Trump administrations proposed budget would increase funding for DIUx, which might help fulfill Mattis' dreams of an AI acceleration. It also expands support to Pentagon research agency DARPA , which has many AI-related projects. But the White Houses budget proposal also includes cuts to the National Science Foundation, an agency that has long supported AI research, including work on artificial neural networks, the very technique that now has companiesand nationssuddenly so interested in the field's potential.

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Defense Secretary James Mattis Envies Silicon Valley's AI Ascent - WIRED

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Growing up, theres a good chance you heard the mantra go to a good school, get a good job, and make lots of money. On the surface, that seems like sound advice. After all, college graduates, on average,earn almost $1 million morein their lifetimes than those with only a high school education.

Perhaps you were encouraged to get a professional degree to land a high paying job like a doctor, dentist, lawyeror something similar.This also seems like great advice, considering a professional degree holder typically earns more than $2 million more in their lifetimes than the average college graduate.

But that was then, and this now.

Related: The Future of Productivity: AI and Machine Learning

Thanks to rapid advances in robotics, automation and artificial intelligence, jobs are falling to machines left and right. And its not just blue-collar jobs that are being taken over by automation. It's white-collar professions as well. According to an Oxford study, 47 percentof U.S. jobs could fall to automation in the next 20 years.

The safe, high paying jobs of the past are starting to look much less secure going forward. If youre currently in one of the following professions, or going to school to get into these fields, you should think twice before continuing.

If Wall Street is known for anything, its known for crazy high salaries and bonuses. For those who have wanted to get rich quickly post-college, there have been few better industries than finance. Alas, finance is one of the industries with the highest risk of automation.

Bridgewater Associates, the worlds largest hedge fund, announced late last year that it was going to be cutting staff in favor of more automation. Its getting harder to compete with AI driven hedge funds like Sentient and high-frequency traders in general, and an impressive swath of financial management services are now being handled by robo-advisors like Betterment and Wealthfront, both of which are growing rapidly.

In fact, according to Angel List, there are more than 15,000 finance startups right now working to actively disrupt finance, many of them utilizing artificial intelligence and other forms of automation. If youre in this field or planning to enter it, you might want to reconsider.

So, if not finance, then what? If youre good with numbers and detail-oriented, you should consider getting into data science. Data scientist salaries are rising rapidly, and theyre considered the new rock stars of the tech world. Of course, you could always try getting into venture capital to ride the massive transitional wave thats coming, but being a VC isnt all its cracked up to be either. Either way, traditional finance jobs are on the way out.

Related: How AI Machines Coudl Save Wall Street Brokers' Jobs

The work that doctors do is tremendously important, and on average, theyre very well paid for it. That said, there are numerous areas of medicine that are ripe for automation and improved efficiencies. One key example would be medical imaging and the fields of radiology, pathology and dermatology.

Using AI, IBMs Watson is now considered at least on-par with a professional radiologist in terms of ability to analyze an image and diagnose a patient, and it can do the analysis much faster while considering vastly larger amounts of information than any human could ever hope to. This is fantastic news for the people who need a diagnoses, but not so great for medical imaging jobs. If youre already in the field, or working to get into it, you could consider transitioning into some aspect of computer vision, be it research or training. If you cant beat the machines, you can always help to make them better.

There are numerous other technologies, such as telemedicine and mobile medical devices, that will also heavily disrupt this field going forward. And while there will still be a strong need for certain medical skills going forward, youll need to be highly selective in what you choose.

Ahh, lawyers. The world could probably use far fewer lawyers, and the machines are well on their way to making that a reality. While you can still make a pretty penny as a lawyer, depending on your specialty, its worth noting that lawyers spend a lot of time gathering and parsing data, creating or reviewing legal documentsand numerous other mundane tasks. For most lawyers, its far from a glamorous profession.

Much of this grunt work has already been automated, and there are more than 1,500 startups out there trying to streamline the legal world even further. While this wont immediately eliminate all legal jobs, it means that it will take far fewer lawyers -- and especially paralegals --to handle the same level of work.

Because lawyers tend to pay excellent attention to detail, and are highly versed in logic, a good alternative field would be programming. Programming languages are built around logicand require every bit as much attention to detail as any contract. Best of all, there are a ton of courses online that can help you learn, including some from top-tier universities like Stanford, MITand even Harvard.

And of course, programmers are incredibly well paid and in high demand virtually everywhere. Here are a few of the most in-demand programming languages to help you along if you decide to make the switch.

Related: Advancing Automation Means Humans Need to Embrace Lifelong Learning

There have been numerous times throughout history when a large number of old jobs have gone away, only to be replaced by new jobs as new technologies came along. Sometimes the transition from old to new is protracted enough to make a semi-smooth transition possible. That may or may not be the case this time around.

Sam McRoberts is the CEO ofVUDU Marketing, and the author ofScrew the Zoo. He has delved deep into the worlds of philosophy, cognitive psychology and neuroscience to better help his clients achieve their goals. When he isn't...

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Artificial Intelligence Is Likely to Make a Career in Finance, Medicine or Law a Lot Less Lucrative - Entrepreneur

Not much about Makoto Koikes adult life suggests that he would be a farmer. Trained as an engineer, he spent most of his career in a busy urban section of Aichi Prefecture, Japan, near the headquarters of the Toyota Motor Corporation, writing software to control cars. Koikes longtime hobby is tinkering with electronic kits and machines; he is not naturally an outdoorsy type. Yet, in 2014, at the age of thirty-three, he left his job and city life to move to his parents cucumber farm, in the greener prefecture of Shizuoka. I thought I was getting old, Koike told me. I wanted to be close to my home and my family.

The Koikes have been growing cucumbers in Kosai, a town wedged between the Pacific Ocean and the brackish Lake Hamana, for nearly fifty years. Their crop, which fills three small greenhouses, grows year-round. Koikes father, Harumi, plants the seeds; Koike oversees their cultivation; and his mother, Masako, sorts the harvest. This last job is particularly important in Japan, which is famously discerning about its produce. Nice strawberries can fetch several dollars apiece in some markets, and a sublime cubic watermelon can go for hundreds. Vegetables hold a less privileged place than fruits, but supermarkets rarely stock produce that is at all irregular in shape or size. The Koikes send their better cucumbers, the ones that are straight and uniform in thickness, to wholesalers. The not-so-perfect ones go to local stands, where they are sold at half price. (They taste the same, Koike said.) Masako judges the vegetables one by one, separating them into bins. Though she devotes only half a second to each cucumber, the task takes up most of her work time; on some days, she goes through around four thousand of them.

The laborious process of categorizing the cucumbers had remained essentially the same for decades, until last spring, when Koike began developing a new approach. It was inspired, in part, by articles he read about AlphaGo , the first computer program ever to beat a human master of the game of Go. Developed by Google DeepMind , the program relied on deep learning, a method for making computations by arranging basic processing units into complex, layered networks, rather like the way that billions of neurons work together to produce the incomparable (for now) intelligence of the human brain. In the past several years, deep learning has proved exceptionally useful for finding patterns in big piles of data; it has been incorporated into Facebooks facial-recognition algorithms, Amazon Alexas language processing , and autonomous cars navigation systems. In AlphaGos case, the program was fed thirty million images of positions from real games, which it used to help determine which kinds of moves work best. Koike hoped that a similar strategy might help him sort his familys cucumbers.

Makoto Koike with his parents, Harumi and Masako, at the familys cucumber farm, in Shizuoka Prefecture, Japan. The Koikes have been growing cucumbers for nearly fifty years.

Advanced A.I. techniques, including deep learning, have traditionally been the province of specialized researchers and moneyed software companies. Recently, though, some of the tech worlds biggest playersincluding Google, Facebook, Microsoft, Amazon, Yahoo, Baidu, Yandex, and various universitieshave released free, open-source versions of their tools, making A.I. accessible to small-time programmers who arent well-versed in the field, such as Koike. For his project, he used TensorFlow, which Google released to the public in 2015. He began by building a custom photo stand, which allowed him to photograph each cucumber from three angles. Then, to analyze the images, he adapted a popular piece of TensorFlow software used for recognizing handwritten numerals. Before he could turn the A.I. loose, though, Koike had to train it. He captured seven thousand photos of cucumbers that his mother had already sorted, then used the data to teach his software to recognize which vegetables belonged in which categories. Finally, he built an automated conveyor-belt system to move each cucumber from the photo stand to the bin designated by the program.

Koike completed his machine last year, and it worksto some degree. It sorts cucumbers with an accuracy of seventy per cent, which is low enough that they must subsequently be checked by hand. Whats more, the vegetables still need to be placed on the photo stand one by one. Koikes mother, in other words, is in no immediate danger of being replaced, and thus far, she and her husband are none too impressed. They are quite severe, Koike said. Oh, its not useful yet, they tell him. Tech enthusiasts, meanwhile, have had decidedly more positive reactions, and Koike has been invited to events such as the Maker Faire, in Tokyo, and the CeBIT expo, in Hanover, Germany. There are machines that work better and faster than Koikes, but they are industrial-sized and -priced affairs. Before the democratization of deep learning, it would have been difficult for someone like him to design such an effective device himself.

Koike sees his system as an encouraging proof of concept, and he is currently at work on a new version, which he hopes will be capable of analyzing more than one cucumber at a time. He also plans to build a gentler conveyor system, to preserve the fragile prickles on the vegetables skin, which are considered a sign of freshness. He expects that, within a few years, his A.I. sorter will be nearly as accurate as his mother, freeing her up to do something else. Either way, he told me, he is back in Kosai for the long haul. Thats the plan, he said. Ill probably die as a farmer. By the time that happens, the work may look very different.

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DIY Artificial Intelligence Comes to a Japanese Family Farm - The New Yorker

Posted August 10, 2017 07:02:33

In the argument between Mark Zuckerberg and Elon Musk, it's hard to know which side to join. Both of them are right. Or, if you like, both of them are wrong.

Musk is wrong to worry about artificial intelligence (AI) being a threat to humanity, so I agree with Zuckerberg. And Zuckerberg is wrong to dismiss all concerns about AI, so I agree with Musk. But neither of them are worrying about the right things.

AI is transforming almost every aspect of our lives, from the workspace to the political arena. You can't open a newspaper today without reading a story about some impressive advance in AI.

Are machines taking over people's jobs? Are algorithms having an impact on political debate? Will robots transform warfare? Are we sleepwalking into some dystopian future?

First, let's put to rest Elon Musk's worry. The machines aren't about to take over the world anytime soon. Those of us working on building intelligent machines appreciate how much of a challenge remains. We're not going to wake up anytime soon and discover the machines are in charge.

Most of my colleagues working in AI estimate it is at least 50 years before we can build machines as smart as humans. And when we do, it's not inevitable they'll be able to make themselves even smarter still.

So, there is plenty of time to ensure the machines are working in our best interests. And there's a healthy community of researchers working on the topic of "AI safety" to ensure that outcome.

But that doesn't mean we can simply put our feet up and wait for the bright future. There's a lot to worry about. Some AI is smart, some is stupid. We're starting to give responsibility to algorithms that aren't actually very intelligent.

Joshua Brown discovered this to his cost in May last year. He was immortalised as the first person killed by their autonomous car. His Tesla was driving down the highway in "autopilot mode" when it hit a truck turning across the road. Mr Brown had too much faith in the technology.

Another worry is the impact AI is having on political discourse. When millions of Donald Trump's Twitter followers are robots, you have to worry if human voices are being drowned out by computers. If the news you see on Facebook is decided by algorithms, who decides on the biases in these algorithms?

A third worry is the impact AI will have on the workforce. There's no fundamental law of economics that requires new technologies to create more jobs than they destroy, which has been the case so far. There are more people working today than ever, and unemployment is at historically low levels.

But this time could be different. In the Industrial Revolution, machines took over much manual labour but left us with many cognitive tasks. In the AI revolution, machines will take over many of these cognitive tasks. What is left for us?

The Industrial Revolution offers us a good historical precedent for dealing with change like this. Before the industrial revolution, many people worked out in the fields. After the Industrial Revolution, machines took over many of these jobs. And new jobs were created in offices and factories.

But we needed to make some significant changes to society to deal with this transition.

We invented universal education so people were educated for these new jobs. We invented labour laws and unions so the owners of the production didn't exploit their workers. We invented a welfare state and pensions so all of us shared the increased wealth. We made some deep, structural changes to society so everyone shared the benefits of increasing productivity.

These changes didn't happen overnight. Indeed, there were 50 years or so of pain before many workers saw their quality of life lift above what is was before the Industrial Revolution.

This then is the challenge we face today except the AI revolution will likely happen even faster than the Industrial Revolution. For this reason, we need more regulation.

Many tech companies like Facebook and Google are driven by opaque algorithms and are increasingly impacting on our lives in undesirable ways.

Facebook is now the largest news organisation on the planet, yet it doesn't have the same responsibilities as the traditional press.

Google is starting to know too much about our lives, and will need to be broken into parts to prevent it becoming a monopoly. Actually, by creating the holding company Alphabet, Larry Page and Sergey Brin have made the regulators' job much easier.

And it's hard to know where to begin with Uber, one of the most badly behaved of them all.

If Google or other companies won't pay taxes, then more countries besides Australia and the UK need to make a Google tax to force them to do so.

Silicon Valley can't wash its hands of the responsibility that comes with immense reach.

For too long, we (and our governments) have been seduced by the promises spun by technologists.

AI is one of the few hopes for tackling many of the problems that challenge us today like climate change and the ongoing global financial crisis.

But with immense power comes responsibility.

Toby Walsh is the Scientia Professor of AI at the University of New South Wales and the author of It's Alive!: Artificial Intelligence from the Logic Piano to Killer Robots.

Topics: robots-and-artificial-intelligence, science-and-technology, australia

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The artificial intelligence revolution is coming and right now, Silicon Valley holds the power - ABC Online

I am non-technical by education, but my passion revolves only around technology, and specifically to Artificial Intelligence. Yeah, it sounds more like relating yourself to Steven Spielberg Sci-Fi, wherein everything could be controlled with just a tap or the retina identification, although most of these aspects discussed in the movie are quite possible now, just due to the invasion of Artificial Intelligence in our lives.

What Is AI- Artificial Intelligence

As a layman, it is hard to understand the real mechanism of AI since it would be a glut of high technical language, which may bounce back, so in a plain language, AI stands for that idea, where certain machines are developed in a way that they can think like humans. Just to illustrate further Siri in your iPhone to those self-driving cars, all are the products of Artificial Intelligence. Lets take a look at some of the facts related to AI Taking Care of Daily Chores

We all have to perform certain tasks in our daily routine, which are too obvious but needs to be accomplished daily in personal and professional lives. Such mundane tasks can easily be performed through AI and it increases the chances of enhanced productivity rate of humans.

No Ground For Errors

When I talk about errors then, I simply get a very particular aspect in my mind that is Human Error, which at times, devastates the end result brutally. But AI integrated devices never make mistakes and is programmed in such way that leaves no scope for errors, regardless of the data size.

Saving Humans To Take risks

Curiosity is a part of human nature and to satiate it further, we risk our lives, for instance, the space exploration has always been on the top list of man curiosity chart, but the number of risks involved in it makes it dangerous enough. But this exploration is very much possible with the AI support, which can travel across the landscape of space, exploring it and determining the best paths to take. This indeed is a great step to discover the potential benefits for human civilization.

Virtual Reality For Education

The AI is beneficial for several business domains, and the education industry would take the maximum benefits out of it through the integration of VR assisted learning. This type of learning would open the doors for the students and they can learn and explore the topics more deeply.

AI Is A Blessing For Health Care Industry

AI in healthcare and the medical field is creating a sensation by organizing the better treatment plans for patients and help the medical experts to make the best-suited decision for the patients.

These are some of the benefits Artificial Intelligence is offering to the society, and these numbers of benefits are going to rise exponentially with the demand and future inventions in the near future, although many people argue that AI would consume the jobs of people, but this is not correct, since AI has its own limitations, which can never replace the humans.

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AnkitSingh

Techugo Pvt. Ltd.

In his role of BDM, Ankit offers a helping hand to those, who are looking to build apps. He dedicates his passion in committing the vision of clients and goal of the project simultaneously and he loves to share his writing skills through blog and article writing.

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Facts Related To Artificial Intelligence - Customer Think

As fields of research, machine learning and artificial intelligence both date back to the 50s. More than half a century later, the disciplines have graduated from the theoretical to practical, real world applications. Well have some of the top minds in both categories to discuss the latest advances and future of AI and ML on stage and Disrupt San Francisco in just over a month.

Well be joined on stage by Brian Krzanich of Intel, John Giannandrea of Google, Sebastian Thrun of Udacity and Andrew Ng of Baidu, to outline the various ways these cutting edge technologies are already impacting our lives, from simple smart assistants, to self-driving cars. Its a broad range of speakers, which is good news, because weve got a lot of ground to cover in some of the industrys most exciting advances.

John (JG) Giannandrea, SVP Engineering at Google: Giannandrea joined Google in 2010, when the company acquired his startup Metaweb Technologies, a move that formed the basis for the search giants Knowledge Graph technology. Last year, Google appointed Giannandrea the head of search, the latest indication of the companys deep interest for machine learning and AI. Teaching machines to be smarter is a long time passion for the executive, who told Fortune in a 2016 interview that, computers are remarkably dumb. Giannandrea will discuss the work hes doing at Google to fix exactly that.

Sebastian Thrun, Founder, Udacity: Prior to founding online educational service Udacity, Sebastian Thrun headed up Google X, helping make artificial intelligence a foundational key for the companys moonshot products. The topic has been a long time passion for the CMU computer science grad, in fact, he now teaches a course on the subject at Udacity. The introductory Artificial Intelligence for Robotics class takes students through the basics of AI and the ways in which the technology is helping pave the way for his other key passion, self-driving cars.

Andrew Ng, Former Chief Scientist atBaidu: Earlier this year, Andrew Ng stepped down from his role as the head of Baidus AI Group. In a post for Medium announcing the move, the executive reconfirmed his commitment to the space, noting that AI will also now change nearly every major industryhealthcare, transportation, entertainment, manufacturing. After Baidu, NG has shifted his focus toward harnessing artificial intelligence for the benefit of larger society, beyond just a single company, targeting a broad range of industries from healthcare to conversational computing.

Brian Krzanich, CEO Intel: When Brian Krzanich took over as Intel CEO in 2013, the company was reeling from an inability to adapt from desktop computing to mobile devices. Under his watch, hes shifted much of Intels resources to forward thinking technologies, from 5G networks and cloud computing to drones and self-driving cars. Artificial Intelligence and Machine Learning are at the heart of much of Intels forward looking plans, as the company works to stay on the bleeding edge of technology breakthroughs.

Alongside this main-stage panel, well also have an Off The Record session on AI with some of the top minds in the field, which will only be available to attendees at Disrupt. Plus, there are plenty of startups in Startup Alley this year that are focusing in on machine learning.

Were incredibly excited to be joined by so many top names, and hope youll be there as well. Early bird general admission tickets are still available for whats shaping up to be another blockbuster Disrupt.

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TechCrunch Disrupt SF 2017 is all in on artificial intelligence and ... - TechCrunch

CHICAGO -- As hospitals and health systems leverage information technology, healthcare executives must advocate for caregivers to improve provider satisfaction, be prepared for a telehealth explosion, embrace machine learning and artificial intelligence, incorporate the Internet of Things, and prepare for more cyber-attacks, said Thomas Zenty, CEO of University Hospitals of Cleveland.

Zenty delivered todays keynote address at Allscripts Client Experience, the EHR vendors user conference here.

The wellness of providers, the degree to which they are satisfied with their jobs, is key to operating a hospital or health system.

Physician satisfaction is at an all-time low, Zenty said. The things we now have to do with our EHRs. We have to do more work at home than ever before. The promises of efficiencies and effectiveness and time savings are not being realized. So we have to advocate for our caregivers. Do everything we can for those physicians and other caregivers.

Collection, aggregation and interpretation of data is critically important, Zenty added. But provider wellness cannot be overlooked. We cant just assume because we have an EHR its going to be automatically adopted, he said.

Telemedicine is an area of health IT that has been around for quite some time, and is starting to see a growth spurt. More providers are embracing the technology and more insurers are paying for telehealth services.

Tele-, virtual-, digital health, are things critically important to the work we are doing, Zenty said. History will prove me right on that. And policy follows money. Once we begin to get paid for telehealth, tele-psychiatry, tele-stroke, we will see an explosion in this part of information technology.

Machine learning and artificial intelligence are other technologies that are sparking interest in healthcare. They enable computers to handle greater amounts of work than human beings can undertake and will become increasingly important in the era of consumerization.

Were in the early stage of a big wave, he said. How do we answer phones, how do we engage people through digital means with ML and AI will be so critical to the work we do. We know through best performances what people will need to be doing to serve patients, and the more accurate we can be with AI will be important.

Zenty added that its only a matter of time before voice technologies like Siri and Alexa will play a role in hospitals.

The Internet of Things is another area healthcare executives must prepare for. Zenty said in 2015 there were 15 billion installed things on the IoT, and that in the next five years the number of devices on the IoT will grow to 51 billion.

When we think about the number of things, this will be critically important to the work we do, he said. Its far more than just remote monitoring. We can expect this will be a major growth area.

And with the IoT comes more cybersecurity issues. The threat level is high already. Imagine what will happen with 51 billion connected devices.

We all have read about ransomware, we read about it all the time, that is only going to increase, Zenty said. Think about ransomware in the context of the Internet of Things. If we have 51 billion things, people will be able to access our systems. We are going to be a bigger target than ever before.

Twitter:@SiwickiHealthIT Email the writer: bill.siwicki@himssmedia.com

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Big wave of artificial intelligence and machine learning coming to healthcare, University Hospitals of Cleveland CEO ... - Healthcare IT News