The recent feat achieved by AlphaGo was a marvel of striking progress in artificial intelligence (AI) technology. AlphaGo, an AI-based computer program developed by a British corporation under the umbrella of Google Inc. of the United States, has won against the world's top Go player, South Korea's Lee Se Dol, 4-1. Previously, AI programs had defeated skilled human players in the fields of chess and shogi. However, it was said that it would take 10 years to see an AI system win against human players in the world of Go. It was cited as a high hurdle that the surface of a Go board is broad, and that there are an immeasurable number of choices for moves to be made in playing a match.

Over the course of the last weeks and months you couldn't escape news and stories about messaging platforms going after B2C use cases à la "order me some food", "book me a hotel room" or "I need a ride downtown in 30 minutes". Pioneered and taken to huge success in Asia by platforms like Weixin/WeChat, LINE and Kakao, especially Facebook with its two behemoth platforms Messenger and WhatsApp is taking decisive actions to bring businesses and consumers together on their platforms. Kik is even faster, having just launched such a botstore for brands. In their launch line-up are 18 well-known brands such as Sephora, H&M or The Weather Channel. And with these moves, communications platforms will tap into significant revenue streams in the form of rev shares and commissions for being the facilitator between businesses and consumers in everyday Transactions.

It represents a particular pure quantum state of a specific isolated system of one or more particles. By choosing a specific system of coordinates, e.g.

Imagine strapping an enormous VR headset to a car. Now, place that car inside a facility the size of a football field that simulates a full range of motion. Toyota Research Institute CEO Gill Pratt provided a peek inside that incredible facility during a keynote speech to a crowd of more than 3,000 at our GPU Technology Conference in Silicon Valley Thursday. Pratt also announced that Toyota will be opening a new autonomous driving research facility in Ann Arbor, Michigan, that will be staffed by about 50 researchers to complement Toyota's ongoing efforts in Japan, Silicon Valley, and Cambridge, Mass., near the Massachusetts Institute of Technology. Pratt is a legendary figure in the robotics community.

NOT since the era of imperial Rome has the "thumbs-up" sign been such a potent and public symbol of power. A mere 12 years after it was founded, Facebook is a great empire with a vast population, immense wealth, a charismatic leader, and mind-boggling reach and influence. The world's largest social network has 1.6 billion users, a billion of whom use it every day for an average of over 20 minutes each. In the Western world, Facebook accounts for the largest share of the most popular activity (social networking) on the most widely used computing devices (smartphones); its various apps account for 30% of mobile internet use by Americans. And it is the sixth-most-valuable public company on Earth, worth some 325 billion.

We study the problem of learning sparse structure changes between two Markov networks $P$ and $Q$. Rather than fitting two Markov networks separately to two sets of data and figuring out their differences, a recent work proposed to learn changes \emph{directly} via estimating the ratio between two Markov network models. In this paper, we give sufficient conditions for \emph{successful change detection} with respect to the sample size $n_p, n_q$, the dimension of data $m$, and the number of changed edges $d$. When using an unbounded density ratio model we prove that the true sparse changes can be consistently identified for $n_p = \Omega(d^2 \log \frac{m^2+m}{2})$ and $n_q = \Omega({n_p^2})$, with an exponentially decaying upper-bound on learning error. Such sample complexity can be improved to $\min(n_p, n_q) = \Omega(d^2 \log \frac{m^2+m}{2})$ when the boundedness of the density ratio model is assumed. Our theoretical guarantee can be applied to a wide range of discrete/continuous Markov networks.

Toyota's hybridized take on self-driving comes in the wake of research that suggests drivers can take about eight seconds or more to readjust and gain control of a formerly fully autonomous vehicle. The "guardian angel" system could alleviate that disconnect by activating only to avoid a collision, much like automatic braking does. Testing for this new system will soon be underway at a TRI location near Mt. Fuji in Japan, although the company also intends to run simulations at its US-based research facilities. To clear the system for eventual use in commercial vehicles, Toyota will first need to amass a trillion miles worth of road testing.

Drone deployment has become associated with rice growth research in the Philippines, as well as for spotting illegal fishpond-building, and for the early detection of approaching typhoons. The importance of drones has been accepted by Filipinos cognizant of neighboring countries investing millions of dollars on unmanned aerial vehicles (U.A.V.) for …

Imagine strapping an enormous VR headset to a car. Now, place that car inside a facility the size of a football field that simulates a full range of motion. Toyota Research Institute CEO Gill Pratt provided a peek inside that incredible facility during a keynote speech to a crowd of more than 3,000 at our GPU Technology Conference in Silicon Valley Thursday. Pratt also announced that Toyota will be opening a new autonomous driving research facility in Ann Arbor, Michigan, that will be staffed by about 50 researchers to complement Toyota's ongoing efforts in Japan, Silicon Valley, and Cambridge, Mass., near the Massachusetts Institute of Technology. Pratt is a legendary figure in the robotics community.

PORTLAND, OREGON – The U.S. military on Thursday christened an experimental self-driving warship designed to hunt for enemy submarines, a major advance in robotic warfare at the core of America's strategy to counter Chinese and Russian naval investments. The 132-foot-long (40-meter-long) unarmed prototype, dubbed Sea Hunter, is the naval equivalent of Google's self-driving car, designed to cruise on the ocean's surface for two or three months at a time -- without a crew or anyone controlling it remotely. That kind of endurance and autonomy could make it a highly efficient submarine stalker at a fraction of the cost of the Navy's manned vessels. "This is an inflection point," Deputy U.S. Defense Secretary Robert Work said in an interview, adding he hoped such ships might find a place in the Western Pacific in as few as five years. "This is the first time we've ever had a totally robotic, trans-oceanic-capable ship."