Showing posts with label Intelligence. Show all posts
Showing posts with label Intelligence. Show all posts

4 January 2019


The title above is from Tim Simonite’s December 28, 2018 article he posted to the cyber and security website, He begins: First algorithms figured out how to decipher images. That’s why you can unlock an iPhone with your face. More recently, machine learning has become capable of generating and altering images and video.” 

“In 2018, researchers and artists took Artificial Intelligence (AI)-made and enhanced visuals to another level,” Mr. Simonite wrote. Indeed, “software developed at the University of California Berkeley, can transfer the movements of one person, captured on video…to another,” he notes. “The process begins with two source clips — one showing the movement to be transferred; and, another showing a sample of the person to be transformed. One part of the software extracts the body positions from both clips; another learns how to create a realistic image of the subject for any given body position. It can then generate video of the subject performing more or less any set of movements. In its initial version, the system needs 20 minutes of input video before it can map new moves onto your body.”

1 January 2019

IBM's AI predictions: Trusted AI, quantum computing take center stage in 2019

By Alison DeNisco Rayome 
Source Link

In 2018, artificial intelligence (AI) researchers made breakthroughs in accelerating machine learning training, anticipating cybersecurity attacks, and eliminating bias. The year 2019 promises to take society from today's "narrow" AI to a new era of "broad" AI, where developers, enterprises, and consumers will be able to fully take advantage of the technology's potential, according to a Thursday blog post from Dario Gil, COO and vice president of AI and quantum at IBM Research.

"Broad AI will be characterized by the ability to learn and reason more broadly across tasks, to integrate information from multiple modalities and domains, all while being more explainable, secure, fair, auditable and scalable," Gil wrote in the post.

Here are three trends that IBM researchers are looking out for in the new year that will advance the industry, according to Gil:

1. Causality will increasingly replace correlations

AI Year in Review: Highlights of Papers and Predictions from IBM Research AI

For more than seventy years, IBM Research has been inventing, exploring, and imagining the future. We have been pioneering the field of artificial intelligence (AI) since its inception. We were there when the field was launched at the famous 1956 Dartmouth workshop. Just three years later, an IBMer and early computer pioneer, Arthur Samuel, coined the term machine learning. And ever since, our gaze has always been fixed on what’s next for the field, and how we’ll get there.

Today we released a 2018 retrospective that provides a sneak-peek into the future of AI. We have curated a collection of one hundred IBM Research AI papers we have published this year, authored by talented researchers and scientists from our twelve global Labs. These scientific advancements are core to our mission to invent the next set of fundamental AI technologies that will take us from today’s “narrow” AI to a new era of “broad” AI, where the potential of the technology can be unlocked across AI developers, enterprise adopters and end-users. Broad AI will be characterized by the ability to learn and reason more broadly across tasks, to integrate information from multiple modalities and domains, all while being more explainable, secure, fair, auditable and scalable.

29 December 2018

The Welfare State Is Committing Suicide by Artificial Intelligence


Denmark is using algorithms to deliver benefits to citizens—and undermining its own democracy in the process.

Everyone likes to talk about the ways that liberalism might be killed off, whether by populism at home or adversaries abroad. Fewer talk about the growing indications in places like Denmark that liberal democracy might accidentally commit suicide.

As a philosophy of government, liberalism is premised on the belief that the coercive powers of public authorities should be used in service of individual freedom and flourishing, and that they should therefore be constrained by laws controlling their scope, limits, and discretion. That is the basis for historic liberal achievements such as human rights and the rule of law, which are built into the infrastructure of the Scandinavian welfare state.

18 December 2018

How AI-based Systems Can Improve Medical Outcomes

Artificial intelligence-based technology is being deployed in the U.S. health care system. When implemented correctly, AI promises to relieve doctors of routine, tedious work while improving medical outcomes. In this opinion piece, Cassie Solomon, Mark Schneider and Gregory P. Shea argue that successfully implementing AI in health care requires a systems-based approach where leaders need to focus on eight levers of change. They explain this process with one use case: Screening diabetics for signs of retinal degradation and potential blindness. (Knowledge@Wharton also interviewed Shea and Schneider about their model. Listen to the podcast using the player above.)

China could surpass the US in artificial intelligence tech. Here's how

Uptin Saiidi 

Artificial intelligence has the potential to transform many industries: Cars that drive themselves, facial recognition that enhances security, or systems that could detect cancer better than a doctor.

In fact, global GDP is set to increase by 14 percent because of AI, according to PwC. The tech's deployment in the decade ahead will add $15.7 trillion to global GDP, with Chinapredicted to take $7 trillion and North America $3.7 trillion, according to the multinational company.

"Data is the new oil, so China is the new Saudi Arabia," Kai-Fu Lee, venture capitalist and author of "AI Superpowers: China, Silicon Valley, and the New World Order," told CNBC's "Squawk Box."

If tech experts worry about artificial intelligence, shouldn’t you?

John Naughton

Fifty years ago last Sunday, a computer engineer named Douglas Engelbart gave a live demonstration in San Francisco that changed the computer industry and, indirectly, the world. In the auditorium, several hundred entranced geeks watched as he used something called a “mouse” and a special keypad to manipulate structured documents and showed how people in different physical locations could work collaboratively on shared files, online.

It was, said Steven Levy, a tech historian who was present, “the mother of all demos”. “As windows open and shut and their contents reshuffled,” he wrote, “the audience stared into the maw of cyberspace. Engelbart, with a no-hands mic, talked them through, a calm voice from Mission Control as the truly final frontier whizzed before their eyes.” That 1968 demo inspired a huge new industry based on networked personal computers using graphical interfaces, in other words, the stuff we use today.

Rise of the machines: The Pentagon’s AI workforce plan

By: Mark Pomerleau

The Department of Defense is looking to build a 21st century military staffed with a cadre of resident data scientists, engineers and artificial intelligence professionals.

Dana Deasy, the DoD’s chief information officer, told a House Armed Services Committee panel Dec. 11 that the department’s philosophy is they’re going to need to build an internal capability inside the military.

In testimony before a House subcommittee, leaders from the Pentagon's research wing discussed what it will take to maintain an edge in artificial intelligence.

This takes the form of the recently established Joint Artificial Intelligence Center (JAIC), which currently has approximately 30 people assigned to it — a combination of uniformed and civilian personnel, Deasy said.

17 December 2018

Show Me The Data: The Pentagon’s Two-Pronged AI Plan


WASHINGTON: Having bet heavily on artificial intelligence, the Pentagon now has a two-pronged plan to overcome the biggest obstacle to AI: the data.

As the short-term solution, the newly created Joint Artificial Intelligence Center, JAIC, will seek to gather the vast amounts of data required to train machine learning algorithms.

At the same time, DARPA will pursue the long-term goal of developing a next-generation artificial intelligence that’s intelligent enough to reach conclusions from less data.

Both tasks are daunting. Right from the start, “as we roll out the first two, three, four applications, the thing that will be hitting us over and over again will be data,” Dana Deasy, the Pentagon’s Chief Information Officer and chief overseer of JAIC, told the House Armed Services Committee on Tuesday. “Do we really understand where the sources of our data come from?…. How do you ingest it, what are its formats, do we have duplicative data, and how do we bring it together?”

16 December 2018

Nefarious nations will take the lead on AI if the US doesn't


As an op-ed in The Hill on Jan. 24 explained, the U.S. has no comprehensive national strategy to address the development and deployment of artificial intelligence.

Since then, the Trump administration has held summits, published reports and even established a select committee of government officials to study it. But experts say that the U.S. is falling behind in the race for dominance in the field. Vladimir Putin has said that the artificial intelligence (AI) winner will be the "ruler of the world."

The way that people and businesses move, save, store and transmit money is being revolutionized by technology, and AI is increasing the velocity and scope of those changes.

As part of the country’s critical infrastructure, the highest priority should be given to the development of a financial services and capital markets strategy to foster AI innovations while at the same time protecting against its unprecedented threats.

Will Artificial Intelligence Revolutionize the Art of War?

Despite the development of artificial intelligence (AI) only being in its early stages, it has already had an impact on armed forces.

Some weapons systems are now automatically able to determine their targets. In time, the progress of AI could lead to a true military revolution and even a change in the human relationship to war. The most pessimistic prognosticators envisage apocalyptic scenarios, but the worst is by no means inevitable.

Jean-Christophe Noël is associate research fellow at Ifri's Security Studies Center.

Malevolent soft power, AI, and the threat to democracy

Elaine Kamarck

In the space of less than a decade, the world of social media has gone from being an enabler of to a threat to democracy. While the internet can still mobilize large numbers of people to political action, it can also spew false information about candidates, suppress the vote, and affect the voter rolls and the election machinery of the state. By 2016, social media had become a weapon against democracy as opposed to a tool for democracy. Unless we are vigilant, the new world of artificial intelligence (AI) has the potential to be an even more dangerous weapon in the years ahead. This paper will look at Russian interference in the 2016 election with an emphasis on intra-party disruption and then it will look at the ways in which AI can further disrupt democracy if we are not prepared.

The new technologies of the information age were heralded as invaluable instruments of democratic action because, in authoritarian countries, the regular media is under the control of the state, making the dissemination of negative information about the state and the publication of dissenting opinions all but impossible. When the “Arab Spring” began in Tunisia, it began with a group called Takriz that used new information technology to organize and eventually topple the country’s long-time president.[1]

14 December 2018

Lies, Damned Lies, and AI


As algorithmic decision-making spreads across a broadening range of policy areas, it is beginning to expose social and economic inequities that were long hidden behind "official" data. The question now is whether we will use these revelations to create a more just society.

CAMBRIDGE – Algorithms are as biased as the data they feed on. And all data are biased. Even “official” statistics cannot be assumed to stand for objective, eternal “facts.” The figures that governments publish represent society as it is now, through the lens of what those assembling the data consider to be relevant and important. The categories and classifications used to make sense of the data are not neutral. Just as we measure what we see, so we tend to see only what we measure.

13 December 2018


WE ARE DEEP into the worst-case scenarios. But as new sentencing memos for Donald Trump associates Paul Manafort and Michael Cohen make all too clear, the only remaining question is how bad does the actual worst-case scenario get.

The potential innocent explanations for the president's behavior over the last two years have been steadily stripped away, piece by piece. Special counsel Robert Mueller and investigative reporters have uncovered and assembled a picture of a presidential campaign and transition seemingly infected by unprecedented deceit and criminality, and in regular—almost obsequious—contact with America’s leading foreign adversary.

A year ago, Lawfare’s Benjamin Wittes and Quinta Jurecic outlined seven possible scenarios about Trump and Russia, arranged from most innocent to most guilty. Fifth on that list was “Russian Intelligence Actively Penetrated the Trump Campaign—And Trump Knew or Should Have Known,” escalating from there to number 6 “Kompromat,” and topping out at the once unimaginable number 7, “The President of the United States is a Russian Agent.”

12 December 2018

The AI Advantage of Nations in the Fourth Industrial Revolution

By Juergen Braunstein and Marion Laboure

Like revolutions in the past the on-going AI revolution will produce winners and losers. The first industrial revolution in the 18th century changed the world of production and paved the way for Britain’s global leadership. Similarly, the current digital revolution is redefining the service sector and China’s role in the world.

What is artificial intelligence and why it matters? AI refers to the simulation of human intelligence behavior by computer systems. These processes include learning (information acquisition and information rules), reasoning (reaching approximate or definite conclusions thanks to rules to), and self-correction. AI will impact our lives (both leisure and work) and all industries with the most common applications being expert systems, speech recognition and machine vision. 

11 December 2018

The Deadly Soul of a New Machine

By Timothy Egan

Bots, artificial intelligence and social media algorithms are shaping the fate of humanity at a startling pace. At what point is control lost and the creations take over? How about now?

Try to imagine the last 11 minutes of Lion Air Flight 610 in October. The plane is a new machine, Boeing’s sleek and intelligent 737 Max 8, fitted with an advanced electronic brain. After takeoff, this cyberpilot senses that something is wrong with the angle of ascent and starts to force the jetliner down.

A tug of war follows between men and computer, at 450 miles an hour — the human pilots trying to right the downward plunge, the automatic pilot taking it back from them. The bot wins. The jetliner crashes into the Java Sea. All 189 onboard are killed.

And here’s the most agonizing part: The killer was supposed to save lives. It was a smart computer designed to protect a gravity-defiance machine from error. It lacks judgment and intuition, precisely because those human traits can sometimes be fatal in guiding an aerodynamic tube through the sky.

9 December 2018

Whose fault is it when AI makes mistakes?

Cassie Kozyrkov

Don’t get me wrong, I love machine learning and AI. But I don’t trust them blindly and neither should you, because the way you build effective and reliable ML/AI solutions is to force each solution to earn your trust.

Blind trust is a terrible thing.

Before you start thinking that this has anything to do with robots or sci-fi, stop! ML/AI systems aren’t humanlike, they’re just useful thing labelers with poetic names. Instead, their untrustworthiness comes from somewhere else entirely. I think it’s best to show not tell, so let’s see a familiar example

7 December 2018

Revealed: US Intelligence Chief Clarifies the Nature of Russia's INF Treaty Violation

By Ankit Panda

The head of the U.S. intelligence community discussed Russia’s treaty violation in more detail than ever before.

Beginning in 2014, the U.S. State Department has noted repeatedly in its annual arms control compliance report that it had assessed that Russia was in violation of its commitments under the 1987 Intermediate-Range Nuclear Forces Treaty. Earlier this year, the Trump administration made clear that it would soon be withdrawing from the treaty. (Background on what the INF Treaty does is available here.)

While the United States has yet to give its formal withdrawal notice, there appears to be no real prospect of saving the INF Treaty. The alleged Russian violation has been cited by the administration as one of the reasons for U.S. withdrawal, but the truth is likely simpler: John Bolton, the current U.S. national security adviser, hasn’t seen an arms control agreement that he likes and has been a driver behind the withdrawal process.

4 December 2018

Artificial Intelligence: Forget The Terminator For Future Army: LTG Wesley


DETROIT: The Artificial Intelligence the military needs most is not some kind of killer robot, the Army’s three-star senior futurist told me today. The Army really needs AI to make sense of lots of data, fast, so commanders and quartermasters can send the right forces with the right supplies to the right place on the “hyperactive battlefield of the future.”

Lt. Gen. Eric Wesley talks to a fellow soldier at the AUSA conference on artificial intelligence.

“We get enamored with robots,” Lt. Gen. Eric Wesley told me on the sidelines of the AUSA AI conference here. “A lot of people are attracted to the implications for … robotic warfare. I’m less interested in that.”

Instead, at Wesley’s Army Capabilities Integration Center — about to be reorganized into the Futures & Concepts division of the new Army Futures Command — “we’re talking about synthesizing data, terabytes of data, that includes everything from weather, to social media, to intelligence reports of the enemy’s positions,” Wesley said, “all of which has to be synthesized across all domains”: land, sea, air, space, and cyberspace.

9 October 2018


Threats to the international order from near-peer competitors and from rogue regimes, terrorists, and the proliferation of cyber weapons and weapons of mass destruction all challenge whether the U.S. Intelligence Community (IC) will be able to fulfill its mission. It is unclear whether the IC is prepared to provide decisionmakers and warfighters with the intelligence they need and expect.

This Perspective presents five distinct discussions of changes the IC can make to meet these challenges in the areas of strategic warning; tasking, collection, processing, exploitation, and dissemination (TCPED); security, counterintelligence, and insider threats; open-source information; and surging for crises.

Each of the five discussions in this Perspective provides analysis and recommendations that may be read, acted on, and implemented alone—but the authors believe that the IC has an opportunity to make a major leap forward by acting in a coordinated manner on all five of the topics together.