Eran Shir has an ambitious goal: Eliminate car crashes without waiting for the advent of autonomous vehicles. His company Nexar makes an app that turns smartphones into an "intelligent" dashcam that uses the phone's camera, accelerometer and gyroscope to collect information about what's happening on the road and to send it to the cloud for machine-learning analysis. Nexar now is crowdsourcing its data in San Francisco and New York to give drivers a real-time heads-up about dangers such as cars ahead suddenly stopping or swerving. "We are weaving everyone together to build a network of vehicles to track what's happening on the road, that can predict and prevent accidents," said Shir, co-founder and CEO of Tel Aviv's Nexar, which has offices in San Francisco and New York. For instance, "If you brake hard, all the cars behind you will be aware of that within 50 milliseconds."

The Fujitsu Ltd. RoBoPin communication robot at the Combined Exhibition of Advanced Technologies in Japan on Oct. 4, 2016. Every year there is a new hot topic in tech. The difference between now and the past is that everything is becoming interconnected at a faster rate. We are entering an extremely critical time in history where society will change dramatically – how we work, live and play. Science fiction is morphing into reality. Flying cars exist, cars that drive themselves are on the road, and artificial intelligence that automates our lives is here.

I can't run a starship with twenty crew. WESLEY: You've got a great job, Jim. All you have to do is sit back and let the machine do the work. One clear message from the presidential election is that the dream of good factory jobs still resonates in America's rust belt. Despite the push for students to pursue STEM careers or move into the service sector, Americans still want to make stuff.

Robots are taking over your job…and there's nothing you can do. By Amro Zakaria Abdu Human advancement throughout history can largely be credited to our ability to invent machines that increase our productivity and efficiency. Those tools allowed us to overcome the physical limitations of the human body and that of the animals we used, and as a result, territories were conquered, societies reshaped, and the dream of economic prosperity became a reality for millions. At the turn of the 19th century, the U.S. was a nation of farmers--39 percent of the population earned their livelihood through farming. The tractor was then introduced, resulting in profound changes such as the total replacement of work animals, consolidation of farms as seen in the increase in the average farm size from 60 to 200 hectares by the 1940's. Furthermore, the percentage of the population working in farming dropped to under 2 percent by the end of the century.

Tuesday, 22nd of November, 2016, Baltimore, MD - Insilico Medicine, Inc and YMK Photonics, Inc announced today a research collaboration and business cooperation to develop photonics quantum computing and accelerated deep learning techniques for drug discovery, biomarker development and aging research. On the 15th of November, 2016 in the presence of over 800 YMK employees, customers, partners and investors, the Chairman of YMK Holdings, Mr. Kim Young Mo, the CEO of Insilico Medicine, Alex Zhavoronkov, PhD and Head of Insilico Korea, Professor Youngsook Park signed a memorandum of understanding to pursue mutual benefit in deep learning and cognitive photonics computing. "YMK is pursuing a very big vision. Extending healthy human longevity is not only the most altruistic cause, but a pressing socio-economic necessity. Insilico Medicine made substantial advances in applying deep learning techniques to drug development and aging research, but to accelerate the process and simulate entire human bodies and populations or generate optimal molecular structures, they could really benefit from our expertise in quantum computing. This collaboration is the first step towards cognitive quantum photonic computation for drug discovery and longevity research", said Mr. Kim Young Mo, the Chairman of YMK Holdings.

Upfront, he let the reporters and editors in the room know he thought their reporting has been unfair to him. During the wide-ranging conversation, Trump denounced Nazi celebrations in Washington, D.C., offered Jared Kushner as a peace-broker between Israel and Palestine, promised to stay open-minded about the Paris climate-change accord, and mused that prosecuting the Clintons would be a nationally divisive move. He also stood by his appointment of Steve Bannon, saying that had he thought Bannon were racist he wouldn't have hired him. The new feature is an expansion of its "popular times" product. There are currently 32.9 million millionaires.

We propose a method for finding alternate features missing in the Lasso optimal solution. In ordinary Lasso problem, one global optimum is obtained and the resulting features are interpreted as task-relevant features. However, this can overlook possibly relevant features not selected by the Lasso. With the proposed method, we can provide not only the Lasso optimal solution but also possible alternate features to the Lasso solution. We show that such alternate features can be computed efficiently by avoiding redundant computations. We also demonstrate how the proposed method works in the 20 newsgroup data, which shows that reasonable features are found as alternate features.

What if a computer could predict who's a criminal and who isn't just by scanning their face? It sounds like creepy science fiction from a film like Minority Report, but a pair of researchers in China have been busy testing that exact theory out. Xiaolin Wu and Xi Zhang from China's Shanghai Jiao Tong University published a study called " Automated Inference on Criminality using Face Images ." They fed the faces of 1,856 people (half of which were convicted violent criminals) into a computer and set about analysing them. The photos were all of Chinese men aged between 18 and 55, with no beards, scars or other distinguishing features.

AMD is finally making its first moves into deep learning. Google will start equipping its sprawling data center infrastructure with AMD's graphics processing units (or GPUs) to accelerate deep learning applications, AMD announced on Tuesday at a supercomputing conference in Salt Lake City, Utah. GPUs, typically used for generating the latest in gaming graphics, have been booming in deep learning, which is a flavor of artificial intelligence where the computer teaches itself how to do certain tasks. GPUs have caught on because of their capabilities in "parallel computing," a technique that involves multiple calculations happening simultaneously. That makes GPUs much faster at running deep learning neural nets than more generalized processors.

Apple may have scrapped its plans to build self-driving cars, but if its recent deal with Indian ride-hailing firm Ola is anything to go by, the tech giant's auto industry ambitions are far from over. Ola, India's largest ride-hailing company, announced Tuesday that it is partnering with Apple to offer Apple Music as part of the in-car experience. The firm, which also announced partnerships with Sony, Qualcomm and Audio Compass, said the service will be made available in some of its vehicles as part of a platform called Ola Play. When passengers book an Ola ride, they will be able to interact with an in-car tablet to control the vehicle's air conditioning, music, watch videos and even read ebooks. "Cars were initially built for the driver," Ola Chief Executive Bhavish Agarwal said during a news conference reported on by India media outlet YourStory.