China: Artificial intelligence given priority development status

China has pledged to prioritise the development of artificial intelligence for the first time within the government’s latest annual work report, underlining its ambition to lead what has fast become one of the hottest areas of global technological innovation.

One analyst is now projecting the industry in China to grow by more than 50 per cent in value to 38 billion yuan (US$5.5 billion) by 2018.

“We will implement a comprehensive plan to boost strategic emerging industries,” said Premier Li Keqiang in his delivery at the annual parliamentary session in Beijing over the weekend.

“We will accelerate research & development (R&D) on, and the commercialisation of new materials, artificial intelligence (AI), integrated circuits, bio-pharmacy, 5G mobile communications, and other technologies.”

Artificial intelligence, which focusses on creating machines that work and react like humans, will create the next industrial revolution and China and “should grab the opportunity to overtake other global competitors” in the field, added Zhou Hanmin, a member of the Standing Committee of the Chinese People’s Political Consultative Conference.

The National Development and Reform Commission, China’s top economic planner, has already given the green light to the creation of 19 national engineering labs this year, three of which are dedicated to AI research and application, including deep learning, brain-like intelligence, virtual reality (VR) and augmented reality (AR) technologies.

“The tech world is shifting from a ‘mobile’ to an ‘artificial intelligence’ era, driven by deep learning, big data, and graphics processing units (GPUs), all of which accelerate the ability to compute,” said Rex Wu, an equity analyst for Jefferies.

Source: South China Morning Post

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Will Democracy Survive Big Data and Artificial Intelligence?


We are in the middle of a technological upheaval that will transform the way society is organized. We must make the right decisions now.

In 2016 we produced as much data as in the entire history of humankind through 2015.

It is estimated that in 10 years’ time there will be 150 billion networked measuring sensors, 20 times more than people on Earth. Then, the amount of data will double every 12 hours.

One thing is clear: the way in which we organize the economy and society will change fundamentally. We are experiencing the largest transformation since the end of the Second World War; after the automation of production and the creation of self-driving cars the automation of society is next.

Everything will become intelligent; soon we will not only have smart phones, but also smart homes, smart factories and smart cities. Should we also expect these developments to result in smart nations and a smarter planet?

The field of artificial intelligence is, indeed, making breathtaking advances. Artificial intelligence is no longer programmed line by line, but is now capable of learning, thereby continuously developing itself.

Under the label of “nudging,” and on massive scale, governments are trying to steer citizens towards healthier or more environmentally friendly behaviour by means of a “nudge”—a modern form of paternalism.

The new, caring government is not only interested in what we do, but also wants to make sure that we do the things that it considers to be right. The magic phrase is “big nudging”, which is the combination of big data with nudging.

In a rapidly changing world a super-intelligence can never make perfect decisions (see Fig. 1): systemic complexity is increasing faster than data volumes, which are growing faster than the ability to process them, and data transfer rates are limited.
Furthermore, there is a danger that the manipulation of decisions by powerful algorithms undermines the basis of “collective intelligence,” which can flexibly adapt to the challenges of our complex world. For collective intelligence to work, information searches and decision-making by individuals must occur independently. If our judgments and decisions are predetermined by algorithms, however, this truly leads to a brainwashing of the people. Intelligent beings are downgraded to mere receivers of commands, who automatically respond to stimuli.

We are now at a crossroads. Big data, artificial intelligence, cybernetics and behavioral economics are shaping our society—for better or worse.

We are at the historic moment, where we have to decide on the right path—a path that allows us all to benefit from the digital revolution.

Source: Scientific American

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So long, banana-condom demos: Sex and drug education could soon come from chatbots

“Is it ok to get drunk while I’m high on ecstasy?” “How can I give oral sex without getting herpes?” Few teenagers would ask mom or dad these questions—even though their life could quite literally depend on it.

Talking to a chatbot is a different story. They never raise an eyebrow. They will never spill the beans to your parents. They have no opinion on your sex life or drug use. But that doesn’t mean they can’t take care of you.

Bots can be used as more than automated middlemen in business transactions: They can meet needs for emotional human intervention when there aren’t enough humans who are willing or able to go around.

In fact, there are times when the emotional support of a bot may even be preferable to that of a human.

In 2016, AI tech startup X2AI built a psychotherapy bot capable of adjusting its responses based on the emotional state of its patients. The bot, Karim, is designed to help grief- and PTSD-stricken Syrian refugees, for whom the demand (and price) of therapy vastly overwhelms the supply of qualified therapists.

From X2AI test runs using the bot with Syrians, they noticed that technologies like Karim offer something humans cannot:

For those in need of counseling but concerned with the social stigma of seeking help, a bot can be comfortingly objective and non-judgmental.

Bzz is a Dutch chatbot created precisely to answer questions about drugs and sex. When surveyed teens were asked to compare Bzz to finding answers online or calling a hotline, Bzz won. Teens could get their answers faster with Bzz than searching on their own, and they saw their conversations with the bot as more confidential because no human was involved and no tell-tale evidence was left in a search history.

Because chatbots can efficiently gain trust and convince people to confide personal and illicit information in them, the ethical obligations of such bots are critical, but still ambiguous.

Source: Quartz

 

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AI is driving the real health care transformation

AI and machine learning are forcing dramatic business model change for all the stakeholders in the health care system.

What does AI (and machine learning) mean in the health care context?

What is the best way to treat a specific patient given her health and sociological context?

What is a fair price for a new drug or device given its impact on health outcomes?

And how can long-term health challenges such as cancer, obesity, heart disease, and other conditions be managed?

the realization that treating “the whole patient” — not just isolated conditions, but attempting to improve the overall welfare of patients who often suffer from multiple health challenges — is the new definition of success, which means predictive insights are paramount.

Answering these questions is the holy grail of medicine — the path toward an entirely new system that predicts disease and delivers personalized health and wellness services to entire populations. And this change is far more important for patients and society alike than the debate now taking place in Washington.

Those who succeed in this new world will also do one other thing: They will see AI and machine learning not as a new tool, but as a whole new way of thinking about their business model.

Source: Venture Beat

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AI to Improve the World

Back in October, on one of our recurring walk-and-talks around Oxford, Brody (a computational biologist) and I (a machine learning researcher) shared something that was missing from our PhD work:

“We want to use AI to improve the world around us — in ways nothing else can.”

RAIL — the Rhodes Artificial Intelligence Lab — was born.

On January 16, we launched our first 8-week cohort. Our team is made of 26 Rhodes Scholars: 13 PhD students, 13 masters’ students. 50% are AI engineers and the other 50% are strategists. We have AI researchers, geneticists, public policy students, trained doctors, social scientists, linguists, and more.

We’ve been blown away by what RAILers have accomplished across four projects

3 Key Lessons We’ve Learned

We are building a serious, capable, exciting AI lab. We’ve built our core learnings into the heart of RAIL:

  1. The potential for AI to tackle important social challenges is huge.
  2. Extremely smart people + technology + creativity + structure = scalable impact.
  3. Learn as much as you can during the process. Foster new ideas.

Source: Medium

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JPMorgan software does in seconds what took lawyers 360,000 hours

At JPMorgan, a learning machine is parsing financial deals that once kept legal teams busy for thousands of hours.

The program, called COIN, for Contract Intelligence, does the mind-numbing job of interpreting commercial-loan agreements that, until the project went online in June, consumed 360,000 hours of lawyers’ time annually. The software reviews documents in seconds, is less error-prone and never asks for vacation.

COIN is just the start for the biggest U.S. bank. The firm recently set up technology hubs for teams specialising in big data, robotics and cloud infrastructure to find new sources of revenue, while reducing expenses and risks.

The push to automate mundane tasks and create new tools for bankers and clients — a growing part of the firm’s $9.6 billion technology budget.

Behind the strategy, overseen by Chief Operating Officer Matt Zames and Chief Information Officer Dana Deasy, is an undercurrent of anxiety:

though JPMorgan emerged from the financial crisis as one of few big winners, its dominance is at risk unless it aggressively pursues new technologies, according to interviews with a half-dozen bank executives.

Source: Independent

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Intel: AI as big as the invention of the wheel and discovery of fire

Intel believes AI will be the biggest and most important revolution in our lifetime 

“When we think about AI and machine learning it’s all about huge possibilities,” Faintuch told the capacity crowd. “It’s about humans unleashing their potential and interacting with things beyond humans. To continue to transform and automate their life.”

“When we look back and as we look forward, I believe we are now at the door-step of yet another major revolution. This revolution will probably be the most important in our lifetime. It’s all about the automation of intelligence.

We already know how to leverage face recognition, text to speech, speech to text and others. Everything helping us to automate our decisions. What lies ahead will be an amazing transformation. With the power of AI, ML, deep learning and other elements to come into fruition, we will be able to take by far more complex function to allow us to unleash our digital capabilities.”

“Since the dawn of humanity at relatively short pace have been able to take ourselves to the next level.

I mentioned fire. Unlike animals who run away from it, we were attracted to it. It’s us that takes these courageous moves and to really dream. It’s not about one person, one company or one society. It’s for all of us to take advantage of the power of the intelligence we have and to embrace it and think how we can create a great society with great technological advancements.”

Source: Access AI

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Teaching an Algorithm to Understand Right and Wrong

hbr-ai-morals

Aristotle states that it is a fact that “all knowledge and every pursuit aims at some good,” but then continues, “What then do we mean by the good?” That, in essence, encapsulates the ethical dilemma.

We all agree that we should be good and just, but it’s much harder to decide what that entails.

“We need to decide to what extent the legal principles that we use to regulate humans can be used for machines. There is a great potential for machines to alert us to bias. We need to not only train our algorithms but also be open to the possibility that they can teach us about ourselves.” – Francesca Rossi, an AI researcher at IBM

Since Aristotle’s time, the questions he raised have been continually discussed and debated. 

Today, as we enter a “cognitive era” of thinking machines, the problem of what should guide our actions is gaining newfound importance. If we find it so difficult to denote the principles by which a person should act justly and wisely, then how are we to encode them within the artificial intelligences we are creating? It is a question that we need to come up with answers for soon.

Cultural Norms vs. Moral Values

Another issue that we will have to contend with is that we will have to decide not only what ethical principles to encode in artificial intelligences but also how they are coded. As noted above, for the most part, “Thou shalt not kill” is a strict principle. Other than a few rare cases, such as the Secret Service or a soldier, it’s more like a preference that is greatly affected by context.

What makes one thing a moral value and another a cultural norm? Well, that’s a tough question for even the most-lauded human ethicists, but we will need to code those decisions into our algorithms. In some cases, there will be strict principles; in others, merely preferences based on context. For some tasks, algorithms will need to be coded differently according to what jurisdiction they operate in.

Setting a Higher Standard

Most AI experts I’ve spoken to think that we will need to set higher moral standards for artificial intelligences than we do for humans.

Major industry players, such as Google, IBM, Amazon, and Facebook, recently set up a partnership to create an open platform between leading AI companies and stakeholders in academia, government, and industry to advance understanding and promote best practices. Yet that is merely a starting point.

Source: Harvard Business Review

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Microsoft is partnering with Elon Musk’s $1 billion #AI research company to help it battle Amazon and Google

elon-musk-robotsMicrosoft has announced a new partnership with OpenAI, the $1 billion artificial intelligence research nonprofit cofounded by Tesla CEO Elon Musk and Y Combinator President Sam Altman.

Artificial intelligence is going to be a big point of competition between Microsoft Azure, the leading Amazon Web Services, and the relative upstart Google Cloud over the months and years to come. As Guthrie says, “any application is ultimately going to weave in AI,” and Microsoft wants to be the company that helps developers do the weaving.

That’s where the OpenAI partnership becomes so important, Guthrie says.

Bscott-guthrie-photoecause we’re still in the earliest days of artificial intelligence, he says, the biggest challenge is figuring out what exactly can be done with artificial intelligence. Guthrie calls this “understanding the art of the possible.

Source: Business Insider

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Google’s #AI moonshot

sundar-pichai-fast-company

Searcher-in-chief: Google CEO Sundar Pichai

“Building general artificial intelligence in a way that helps people meaningfully—I think the word moonshot is an understatement for that,” Pichai says, sounding startled that anyone might think otherwise. “I would say it’s as big as it gets.”

Officially, Google has always advocated for collaboration. But in the past, as it encouraged individual units to shape their own destinies, the company sometimes operated more like a myriad of fiefdoms. Now, Pichai is steering Google’s teams toward a common mission: infusing the products and services they create with AI.Pichai is steering Google’s teams toward a common mission: infusing the products and services they create with AI.

To make sure that future gadgets are built for the AI-first era, Pichai has collected everything relating to hardware into a single group and hired Rick Osterloh to run it.

BUILD NOW, MONETIZE LATER

Jen Fitzpatrick, VP, Geo: "The Google Assistant wouldn't exist without Sundar—it's a core part of his vision for how we're bringing all of Google together."

Jen Fitzpatrick, VP, Geo: “The Google Assistant wouldn’t exist without Sundar—it’s a core part of his vision for how we’re bringing all of Google together.”

If Google Assistant is indeed the evolution of Google search, it means that the company must aspire to turn it into a business with the potential to be huge in terms of profits as well as usage. How it will do that remains unclear, especially since Assistant is often provided in the form of a spoken conversation, a medium that doesn’t lend itself to the text ads that made Google rich.

“I’ve always felt if you solve problems for users in meaningful ways, there will become value as part of solving that equation,” Pichai argues. “Inherently, a lot of what people are looking for is also commercial in nature. It’ll tend to work out fine in the long run.”

“When you can align people to common goals, you truly get a multiplicative effect in an organization,” he tells me as we sit on a couch in Sundar’s Huddle after his Google Photos meeting. “The inverse is also true, if people are at odds with each other.” He is, as usual, smiling.

The company’s aim, he says, is to create products “that will affect the lives of billions of users, and that they’ll use a lot. Those are the kind of meaningful problems we want to work on.”

Source: Fast Company

 

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Software is the future of healthcare “digital therapeutics” instead of a pill

vjiay-pandeWe’ll start to use “digital therapeutics” instead of getting a prescription to take a pill. Services that already exist — like behavioral therapies — might be able to scale better with the help of software, rather than be confined to in-person, brick-and-mortar locations.

Vijay Pande, a general partner at Andreessen Horowitz, runs the firm’s bio fund.

Source: Business Insider
Why an investor at Andreessen Horowitz thinks software is the future of healthcare
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12 Observations About Artificial Intelligence From The O’Reilly AI Conference

12-observations-ai-forbesBloggers: Here’s a few excepts from a long but very informative review. (The best may be last.)

The conference was organized by Ben Lorica and Roger Chen with Peter Norvig and Tim O-Reilly acting as honorary program chairs.   

For a machine to act in an intelligent way, said [Yann] LeCun, it needs “to have a copy of the world and its objective function in such a way that it can roll out a sequence of actions and predict their impact on the world.” To do this, machines need to understand how the world works, learn a large amount of background knowledge, perceive the state of the world at any given moment, and be able to reason and plan.

Peter Norvig explained the reasons why machine learning is more difficult than traditional software: “Lack of clear abstraction barriers”—debugging is harder because it’s difficult to isolate a bug; “non-modularity”—if you change anything, you end up changing everything; “nonstationarity”—the need to account for new data; “whose data is this?”—issues around privacy, security, and fairness; lack of adequate tools and processes—exiting ones were developed for traditional software.

AI must consider culture and context—“training shapes learning”

“Many of the current algorithms have already built in them a country and a culture,” said Genevieve Bell, Intel Fellow and Director of Interaction and Experience Research at Intel. As today’s smart machines are (still) created and used only by humans, culture and context are important factors to consider in their development.

Both Rana El Kaliouby (CEO of Affectiva, a startup developing emotion-aware AI) and Aparna Chennapragada (Director of Product Management at Google) stressed the importance of using diverse training data—if you want your smart machine to work everywhere on the planet it must be attuned to cultural norms.

“Training shapes learning—the training data you put in determines what you get out,” said Chennapragada. And it’s not just culture that matters, but also context

The £10 million Leverhulme Centre for the Future of Intelligence will explore “the opportunities and challenges of this potentially epoch-making technological development,” namely AI. According to The Guardian, Stephen Hawking said at the opening of the Centre,

“We spend a great deal of time studying history, which, let’s face it, is mostly the history of stupidity. So it’s a welcome change that people are studying instead the future of intelligence.”

Gary Marcus, professor of psychology and neural science at New York University and cofounder and CEO of Geometric Intelligence,

 “a lot of smart people are convinced that deep learning is almost magical—I’m not one of them …  A better ladder does not necessarily get you to the moon.”

Tom Davenport added, at the conference: “Deep learning is not profound learning.”

AI changes how we interact with computers—and it needs a dose of empathy

AI continues to be possibly hampered by a futile search for human-level intelligence while locked into a materialist paradigm

Maybe, just maybe, our minds are not computers and computers do not resemble our brains?  And maybe, just maybe, if we finally abandon the futile pursuit of replicating “human-level AI” in computers, we will find many additional–albeit “narrow”–applications of computers to enrich and improve our lives?

Gary Marcus complained about research papers presented at the Neural Information Processing Systems (NIPS) conference, saying that they are like alchemy, adding a layer or two to a neural network, “a little fiddle here or there.” Instead, he suggested “a richer base of instruction set of basic computations,” arguing that “it’s time for genuinely new ideas.”

Is it possible that this paradigm—and the driving ambition at its core to play God and develop human-like machines—has led to the infamous “AI Winter”? And that continuing to adhere to it and refusing to consider “genuinely new ideas,” out-of-the-dominant-paradigm ideas, will lead to yet another AI Winter?

 Source: Forbes

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China’s plan to organize its society relies on ‘big data’ to rate everyone

china-social-credits-scoreImagine a world where an authoritarian government monitors everything you do, amasses huge amounts of data on almost every interaction you make, and awards you a single score that measures how “trustworthy” you are.

In this world, anything from defaulting on a loan to criticizing the ruling party, from running a red light to failing to care for your parents properly, could cause you to lose points. 

This is not the dystopian superstate of Steven Spielberg’s “Minority Report,” in which all-knowing police stop crime before it happens. But it could be China by 2020.

And in this world, your score becomes the ultimate truth of who you are — determining whether you can borrow money, get your children into the best schools or travel abroad; whether you get a room in a fancy hotel, a seat in a top restaurant — or even just get a date.

It is the scenario contained in China’s ambitious plans to develop a far-reaching social credit system, a plan that the Communist Party hopes will build a culture of “sincerity” and a “harmonious socialist society” where “keeping trust is glorious.”

The ambition is to collect every scrap of information available online about China’s companies and citizens in a single place — and then assign each of them a score based on their political, commercial, social and legal “credit.”

Mobile device usage and e-commerce are in wide use in China, and now the Communist Party wants to compile a “social credit” score based on citizens’ every activity. (Michael Robinson Chavez/The Washington Post)

Mobile device usage and e-commerce are in wide use in China, and now the Communist Party wants to compile a “social credit” score based on citizens’ every activity. (Michael Robinson Chavez/The Washington Post)

Source: The Washington Post

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Genetically engineered humans will arrive sooner than you think. And we’re not ready

vox-geneticaly-engineered-humansMichael Bess is a historian of science at Vanderbilt University and the author of a fascinating new book, Our Grandchildren Redesigned: Life in a Bioengineered Society. Bess’s book offers a sweeping look at our genetically modified future, a future as terrifying as it is promising.

“What’s happening is bigger than any one of us”

We single out the industrial revolutions of the past as major turning points in human history because they marked major ways in which we changed our surroundings to make our lives easier, better, longer, healthier.

So these are just great landmarks, and I’m comparing this to those big turning points because now the technology, instead of being applied to our surroundings — how we get food for ourselves, how we transport things, how we shelter ourselves, how we communicate with each other — now those technologies are being turned directly on our own biology, on our own bodies and minds.

And so, instead of transforming the world around ourselves to make it more what we wanted it to be, now it’s becoming possible to transform ourselves into whatever it is that we want to be. And there’s both power and danger in that, because people can make terrible miscalculations, and they can alter themselves, maybe in ways that are irreversible, that do irreversible harm to the things that really make their lives worth living.

“We’re going to give ourselves a power that we may not have the wisdom to control very well”

I think most historians of technology … see technology and society as co-constructing each other over time, which gives human beings a much greater space for having a say in which technologies will be pursued and what direction we will take, and how much we choose to have them come into our lives and in what ways.

 Source: Vox

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AI is one of top 5 tools humanity has ever had

 A few highlights from AI panel at the White House Frontiers Conference

On the impact of AI

Andrew McAfee (MIT):

white-house-frontiers-ai-panel

To view video, click on pic, scroll down the page to Live Stream and click to start the video. It may take a min and then go to the time you want to watch.

(Begins @ 2:40:34)

We are at an inflection point … I think the development of these kinds of [AI] tools are going to rank among probably the top 5 tools humanity has ever had to take better care of each other and to tread more lightly on the planet … top 5 in our history. Like the book, maybe, the steam engine, maybe, written language — I might put the Internet there. We’ve all got our pet lists of the biggest inventions ever. AI needs to be on the very, very, short list.

On bias in AI

Fei-Fei Li, Professor of Computer Science, Stanford University:

(Begins @ 3:14:57)

Research repeatedly has shown that when people work in diverse groups there is increased creativity and innovation.

And interestingly, it is harder to work as a diverse group. I’m sure everybody here in the audience have had that experience. We have to listen to each other more. We have to understand the perspective more. But that also correlates well with innovation and creativity. … If we don’t have the inclusion of [diverse] people to think about the problems and the algorithms in AI, we might not only being missing the innovation boat we might actually create bias and create unfairness that are going to be detrimental to our society … 

What I have been advocating at Stanford, and with my colleagues in the community is, let’s bring the humanistic mission statement into the field of AI. Because AI is fundamentally an applied technology that’s going to serve our society. Humanistic AI not only raises the awareness and the importance of our technology, it’s actually a really, really important way to attract diverse students and technologists and innovators to participate in the technology of AI.

There has been a lot of research done to show that people with diverse background put more emphasis on humanistic mission in their work and in their life. So, if in our education, in our research, if we can accentuate or bring out this humanistic message of this technology, we are more likely to invite the diversity of students and young technologists to join us.

On lack of minorities in AI

Andrew Moore Dean, School of Computer Science, Carnegie Mellon University:

(Begins @ 3:19:10)

I so strongly applaud what you [Fei-Fei Li] are describing here because I think we are engaged in a fight here for how the 21st century pans out in terms of who’s running the world … 

The nightmare, the silly, silly thing we could do … would be if … the middle of the century is built by a bunch of non-minority guys from suburban moderately wealthy United States instead of the full population of the United States.

Source: Frontiers Conference
Click on the video that says Live Stream (event will start shortly)
it may take a minute to load

(Update 02/24/17: The original timelines listed above may be different when revisiting this video.)

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Why we can’t trust ‘blind big data’ to cure the world’s diseases

1020Once upon a time a former editor of WIRED, Chris Anderson, … envisaged how scientists would take the ever expanding ocean of data, send a torrent of bits and bytes into a great hopper, then crank the handles of huge computers that run powerful statistical algorithms to discern patterns where science cannot.

In short, Anderson dreamt of the day when scientists no longer had to think.

Eight years later, the deluge is truly upon us. Some 90 percent of the data currently in the world was created in the last two years … and there are high hopes that big data will pave the way for a revolution in medicine.

But we need big thinking more than ever before.

Today’s data sets, though bigger than ever, still afford us an impoverished view of living things.

It takes a bewildering amount of data to capture the complexities of life.

The usual response is to put faith in machine learning, such as artificial neural networks. But no matter their ‘depth’ and sophistication, these methods merely fit curves to available data.

we do not predict tomorrow’s weather by averaging historic records of that day’s weather

… here are other limitations, not least that data are not always reliable (“most published research findings are false,” as famously reported by John Ioannidis in PLOS Medicine). Bodies are dynamic and ever-changing, while datasets often only give snapshots, and are always retrospective.

Source: Wired

 

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China has now eclipsed U.S. in AI research

As more industries and policymakers awaken to the benefits of machine learning, two countries appear to be pulling away in the research race. The results will probably have significant implications for the future of AI.

articles-on-deep-learning

What’s striking about it is that although the United States was an early leader on deep-learning research, China has effectively eclipsed it in terms of the number of papers published annually on the subject. The rate of increase is remarkably steep, reflecting how quickly China’s research priorities have shifted.

quality-deep-learning-researchThe quality of China’s research is also striking. The chart below narrows the research to include only those papers that were cited at least once by other researchers, an indication that the papers were influential in the field.

Compared with other countries, the United States and China are spending tremendous research attention on deep learning. But, according to the White House, the United States is not investing nearly enough in basic research.

“Current levels of R&D spending are half to one-quarter of the level of R&D investment that would produce the optimal level of economic growth,”
a companion report published this week by the Obama administration finds.

Source: The Washington Post

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We are evolving to an AI first world

“We are at a seminal moment in computing … we are evolving from a mobile first to an AI first world,” says Sundar Pichai.

“Our goal is to build a personal Google for each and every user … We want to build each user, his or her own individual Google.”

Watch 4 mins of Sundar Pichai’s key comments about the role of AI in our lives and how a personal Google for each of us will work. 

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Google’s AI Plans Are A Privacy Nightmare

googles-ai-plans-are-a-privacy-nightmareGoogle is betting that people care more about convenience and ease than they do about a seemingly oblique notion of privacy, and it is increasingly correct in that assumption.

Google’s new assistant, which debuted in the company’s new messaging app Allo, works like this: Simply ask the assistant a question about the weather, nearby restaurants, or for directions, and it responds with detailed information right there in the chat interface.

Because Google’s assistant recommends things that are innately personal to you, like where to eat tonight or how to get from point A to B, it is amassing a huge collection of your most personal thoughts, visited places, and preferences  In order for the AI to “learn” this means it will have to collect and analyze as much data about you as possible in order to serve you more accurate recommendations, suggestions, and data.

In order for artificial intelligence to function, your messages have to be unencrypted.

These new assistants are really cool, and the reality is that tons of people will probably use them and enjoy the experience. But at the end of the day, we’re sacrificing the security and privacy of our data so that Google can develop what will eventually become a new revenue stream. Lest we forget: Google and Facebook have a responsibility to investors, and an assistant that offers up a sponsored result when you ask it what to grab for dinner tonight could be a huge moneymaker.

Source: Gizmodo

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UC Berkeley launches Center for Human-Compatible Artificial Intelligence

robotknot750The primary focus of the new center is to ensure that AI systems are “beneficial to humans” says UC Berkeley AI expert Stuart Russell.

The center will work on ways to guarantee that the most sophisticated AI systems of the future, which may be entrusted with control of critical infrastructure and may provide essential services to billions of people, will act in a manner that is aligned with human values.

“In the process of figuring out what values robots should optimize, we are making explicit the idealization of ourselves as humans. As we envision AI aligned with human values, that process might cause us to think more about how we ourselves really should behave, and we might learn that we have more in common with people of other cultures than we think.”

Source: Berkeley.edu

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How Artificial intelligence is becoming ubiquitous #AI

“I think the medical domain is set for a revolution.”

AI will make it possible to have a “personal companion” able to assist you through life.

I think one of the most exciting prospects is the idea of a digital agent, something that can act on our behalf, almost become like a personal companion and that can do many things for us. For example, at the moment, we have to deal with this tremendous complexity of dealing with so many different services and applications, and the digital world feels as if it’s becoming ever more complex,” Bishop told CNBC.

“I think artificial intelligence is probably the biggest transformation in the IT industry. Medical is such a big area in terms of GDP that that’s got to be a good bet,” Christopher Bishop, lab director at Microsoft Research in Cambridge, U.K., told CNBC in a TV interview.

” … imagine an agent that can act on your behalf and be the interface between you and that very complex digital world, and furthermore one that would grow with you, and be a very personalized agent, that would understand you and your needs and your experience and so on in great depth.

Source: CNBC

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Sixty-two percent of organizations will be using artificial intelligence (AI) by 2018, says Narrative Science

AI growth chart 2016Artificial intelligence received $974m of funding as of June 2016 and this figure will only rise with the news that 2016 saw more AI patent applications than ever before.

This year’s funding is set to surpass 2015’s total and CB Insights suggests that 200 AI-focused companies have raised nearly $1.5 billion in equity funding.

AI-stats-by-sector

Artificial Intelligence statistics by sector

AI isn’t limited to the business sphere, in fact the personal robot market, including ‘care-bots’, could reach $17.4bn by 2020.

Care-bots could prove to be a fantastic solution as the world’s populations see an exponential rise in elderly people. Japan is leading the way with a third of government budget on robots devoted to the elderly.

Source: Raconteur: The rise of artificial intelligence in 6 charts

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4th revolution challenges our ideas of being human

4th industrial revolution

Professor Klaus Schwab, Founder and Executive Chairman of the World Economic Forum is convinced that we are at the beginning of a revolution that is fundamentally changing the way we live, work and relate to one another

Some call it the fourth industrial revolution, or industry 4.0, but whatever you call it, it represents the combination of cyber-physical systems, the Internet of Things, and the Internet of Systems.

Professor Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, has published a book entitled The Fourth Industrial Revolution in which he describes how this fourth revolution is fundamentally different from the previous three, which were characterized mainly by advances in technology.

In this fourth revolution, we are facing a range of new technologies that combine the physical, digital and biological worlds. These new technologies will impact all disciplines, economies and industries, and even challenge our ideas about what it means to be human.

It seems a safe bet to say, then, that our current political, business, and social structures may not be ready or capable of absorbing all the changes a fourth industrial revolution would bring, and that major changes to the very structure of our society may be inevitable.

Schwab said, “The changes are so profound that, from the perspective of human history, there has never been a time of greater promise or potential peril. My concern, however, is that decision makers are too often caught in traditional, linear (and non-disruptive) thinking or too absorbed by immediate concerns to think strategically about the forces of disruption and innovation shaping our future.”

Schwab calls for leaders and citizens to “together shape a future that works for all by putting people first, empowering them and constantly reminding ourselves that all of these new technologies are first and foremost tools made by people for people.”

Source: Forbes, World Economic Forum

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Machines can never be as wise as human beings – Jack Ma #AI

zuckerger and jack ma

“I think machines will be stronger than human beings, machines will be smarter than human beings, but machines can never be as wise as human beings.”

The wisdom, soul and heart are what human beings have. A machine can never enjoy the feelings of success, friendship and love. We should use the machine in an innovative way to solve human problems.” – Jack Ma, Founder of Alibaba Group, China’s largest online marketplace

Mark Zuckerberg said AI technology could prove useful in areas such as medicine and hands-free driving, but it was hard to teach computers common sense. Humans had the ability to learn and apply that knowledge to problem-solving, but computers could not do that.

AI won’t outstrip mankind that soon – MZ

Source: South China Morning Post

 

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Obama – robots taking over jobs that pay less than $20 an hour

obama on jobsBuried deep in President Obama’s February economic report to Congress was a rather grave section on the future of robotics in the workforce.

After much back and forth on the ways robots have eliminated or displaced workers in the past, the report introduced a critical study conducted this year by the White House’s Council of Economic Advisers (CEA).

The study examined the chances automation could threaten people’s jobs based on how much money they make: either less than $20 an hour, between $20 and $40 an hour, or more than $40.

The results showed a 0.83 median probability of automation replacing the lowest-paid workers — those manning the deep fryers, call centers, and supermarket cash registers — while the other two wage classes had 0.31 and 0.04 chances of getting automated, respectively.

In other words, 62% of American jobs may be at risk.

white house AI job lossSource: TechInsider

ericschmidt2Meanwhile – from Alphabet (Google) chairman Eric Schmidt

There’s no question that as [AI] becomes more pervasive, people doing routine, repetitive tasks will be at risk,” Schmidt says.

I understand the economic arguments, but this technology benefits everyone on the planet, from the rich to the poor, the educated to uneducated, high IQ to low IQ, every conceivable human being. It genuinely makes us all smarter, so this is a natural next step.”

Source: Financial Review

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AI will free humans to do other things

AI free humans do other thingsThe ability of AI to automate much of what we do, and its potential to destroy humanity, are two very different things. But according to Martin Ford, author of Rise of the Robots: Technology and the Threat of a Jobless Future, they’re often conflated. It’s fine to think about the far-future implications of AI, but only if it doesn’t distract us from the issues we’re likely to face over the next few decades. Chief among them is mass automation.

There’s no question that artificial intelligence is poised to uproot and replace many existing jobs, from factory work to the upper echelonswhite collar work. Some experts predict that half of all jobs in the US are vulnerable to automation in the near future.

But that doesn’t mean we won’t be able to deal with the disruption. A strong case can be made that offloading much of our work, both physical and mental, is a laudable, quasi-utopian goal for our species.

In all likelihood, artificial intelligence will produce new ways of creating wealth, while freeing humans to do other things. And advances in AI will be accompanied by advances in other areas, especially manufacturing. In the future, it will become easier, and not harder, to meet our basic needs.

Source: Gizmodo

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Artificial Intelligence: Toward a technology-powered, human-led AI revolution

AI gartner2Research conducted among 9,000 young people between the ages of 16 and 25 in nine industrialised and developing markets – Australia, Brazil, China, France, Germany, Great Britain, India, South Africa and the United States – showed that a striking 40 per cent think that a machine – some kind of artificial intelligence – will be able to fully do their job in the next decade.

Young people today are keenly aware that the impact of technology will be central to the way their careers and lives will progress and differ from those of previous generations.

In its “Top strategic predictions for 2016 and beyond,” Gartner expects that by 2018, 20 per cent of all business content will be authored by machines and 50 per cent of the fastest-growing companies will have fewer employees than instances of smart machines. This is AI in action. Automated systems can have measurable, positive impacts on both our environment and our social responsibilities, giving us the room to explore, research and create new techniques to further enrich our lives. It is a radical revolution in our time.

The message from the next generation seems to be “take us on the journey.” But it is one which technology leaders need to lead. That means ensuring that as we use technology to remove the mundane, we also use it to amplify the creativity and inquisitive nature only humans are capable of. We need the journey of AI to be a human- led journey.

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Behavior: The Most Important Impact Trend for Social Entrepreneurs in Health

Kayla Falk behavior tech

Society’s most pressing needs – improved healthcare, education, and environmental safety – are some of the largest untapped markets in today’s global economy. Social enterprises are trying to address these issues with sustainable solutions that can also drive profits. With 7 billion potential customers, where I see the greatest potential for impact is undoubtedly in global health.

In the decades ahead, the most game-changing social enterprises will be the ones that incorporate behavioral design into their solutions.

Behavioral design is enabling technology to have a huge impact on chronic disease improvement across the globe.

There is incredible potential for technology to help people work toward the behavior change that’s central to improving health. The most challenging global issues demand creativity and resourcefulness. Social enterprises that want to solve health issues must create solutions with intrinsic behavioral design components. Only then will we begin to see technology really make an impact.

Source: Huffington Post

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