Machine learning has become a buzzword in the media these days. Recently Science magazine published a cover paper on Human-level concept learning through probabilistic program induction and shortly after Nature magazine devoted its cover story to AlphaGo, an AI program that defeated European Go Championship winner. Late on Tuesday night, Google's DeepMind AI group will play one of the world's best human Go players, Lee Se-dol of South Korea. The game will be live streamed on YouTube, and the stream is embedded at the end of this story. Many are now discussing the potential of artificial intelligence, asking questions such as "Can machines learn like a human?", "Will artificial intelligence surpass human intelligence?", To answer such questions, InfoQ interviewed Prof. Jürgen Schmidhuber, Scientific Director of The Swiss AI Lab IDSIA.

Key sectors of interest include Internet of Things, FinTech, Future of Work, Logis-cs/Transporta-on, eHealth, Security and others. BootstrapLabs is a Venture Capital firm based in Silicon Valley and focused on Applied Ar:ficial Intelligence About Us 3. Community of Founders, Intrapreneurs, AI/ML Experts, Execu-ves, Professors, Researchers, Investors focused on Innova-on, Technology and Entrepreneurship 30K PEOPLE Our Community 200K FOLLOWERS 1K ATTENDEES Our online community between BootstrapLabs core team and its closer advisors has over 200K followers. We see traffic on our website and deal flow referral coming from over 60 countries BootstrapLabs brought together over 1,000 people during 2016. Our community is a key pillar of our success and we organize many exclusive private and public AI centric events each year 4. Applied AI Digest #1 2016 Google's DeepMind Beats a Top Player at the Game of Go Zucks to create AI-Powered Jarvis JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC IBM Watson Head on the Future of AI Read Full Articles 5. Applied AI Digest #2 Artificial Intelligence Deals on the RiseCould AI Solve the World's Biggest Problems? Harvard is building an AI Engine as fast as the Brain Read Full Articles 6. Applied AI Digest #3 Is Big Data Still a Thing?

Miguel Ferrer, an actor with a long list of credits ranging from "Twin Peaks" to his current role on CBS' "NCIS: Los Angeles," died of cancer on Thursday. A fixture on TV and in movies since the 1980s, Ferrer's reputation as a scene-stealer began with 1987's "RoboCop," where he played Bob Morton, the conniving corporate executive who designed the film's title cyborg. His other landmark role was as FBI agent Albert Rosenfield in David Lynch's landmark series "Twin Peaks," along with its corresponding film, "Fire Walk With Me." Ferrer reprised the role in the upcoming return of the series, which is set to debut in May on Showtime. "Great talent, better man," wrote "Twin Peaks" co-creator Mark Frost on Twitter. "Working & writing for him was a highlight in every part of my life."

We consider the problem of learning a policy for a Markov decision process consistent with data captured on the state-actions pairs followed by the policy. We assume that the policy belongs to a class of parameterized policies which are defined using features associated with the state-action pairs. The features are known a priori, however, only an unknown subset of them could be relevant. The policy parameters that correspond to an observed target policy are recovered using $\ell_1$-regularized logistic regression that best fits the observed state-action samples. We establish bounds on the difference between the average reward of the estimated and the original policy (regret) in terms of the generalization error and the ergodic coefficient of the underlying Markov chain. To that end, we combine sample complexity theory and sensitivity analysis of the stationary distribution of Markov chains. Our analysis suggests that to achieve regret within order $O(\sqrt{\epsilon})$, it suffices to use training sample size on the order of $\Omega(\log n \cdot poly(1/\epsilon))$, where $n$ is the number of the features. We demonstrate the effectiveness of our method on a synthetic robot navigation example.

In this paper, a methodology is investigated for signal recovery in the presence of non-Gaussian noise. In contrast with regularized minimization approaches often adopted in the literature, in our algorithm the regularization parameter is reliably estimated from the observations. As the posterior density of the unknown parameters is analytically intractable, the estimation problem is derived in a variational Bayesian framework where the goal is to provide a good approximation to the posterior distribution in order to compute posterior mean estimates. Moreover, a majorization technique is employed to circumvent the difficulties raised by the intricate forms of the non-Gaussian likelihood and of the prior density. We demonstrate the potential of the proposed approach through comparisons with state-of-the-art techniques that are specifically tailored to signal recovery in the presence of mixed Poisson-Gaussian noise. Results show that the proposed approach is efficient and achieves performance comparable with other methods where the regularization parameter is manually tuned from the ground truth.

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Ex-Executive Vice President of Services and Applications Group at Microsoft, Dr. Qi Lu, has been hired by Chinese web services company Baidu as COO and head of several departments. Dr. Lu's experience is vast, as is his exposure to managing large divisions at Microsoft and Yahoo. But Baidu is keenly interested in his skills and experience in the field of artificial intelligence. Lu possesses a wealth of leadership and management experience, and is a leading authority in the area of artificial intelligence. I'm confident that Dr Lu will make major contributions to the overall strength of our management and technology." "I am delighted to join Baidu.

As soon as you approach Pepper, a four-foot-tall robot, she starts sizing you up. Thanks to facial recognition capabilities, Pepper can determine your gender and age bracket. And as you begin asking her questions, she can draw from a vast volume of cloud-based information to give what she thinks are relevant answers. If you smile, she can tell the conversation is going well and that you're finding her answers helpful. If you don't, she might ask you if she's misunderstanding your requests.

Samsung has started rolling out Android 7.0 Nougat to its devices, with its flagship smartphones first in line for the software upgrade. Owners of the Galaxy S7 and Galaxy S7 Edge can update to Nougat from today, by navigating to About Phone and System Updates in the Settings menu. Android 7.0 Nougat isn't quite the latest version of Android – Google's own Pixel handsets run version 7.1.1 The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Artificial intelligence software that can predict when a heart is going to fail by analysing scans of it beating has been developed by British scientists. The technology could help doctors to identify patients at greater risk of death sooner and provide more intensive treatment straight away. The machine-learning software, developed by researchers at the MRC London Institute of Medical Sciences (LMS) and Imperial College London, analyses moving images of a patient's heart captured during an MRI scan. It uses advanced image processing to build a digital model which replicates the way more than 30,000 points in the heart contract during each beat. The team fed the system historic data from hundreds of patients.