Again, remember that this is not a comprehensive list, but that it is notable in that there have been so very many new additions to the base of literature from many disciplines added in just the last few weeks. Just one year ago, we pulled the hype hat over our eyes to some extent–after all, this was most useful in tagging images on social sites and getting machines to paint pictures. The potential for higher purposes was there (the supercomputing world is seeing it too) but just beyond reach. We are, it is safe to say, at the real beginning of mainstream applications for deep learning.

How do you improve on a design as classic as the round wall clock? Glance Clock founder and CEO Anton Zriaschev has conjured up a delightful timepiece that blends elements of analog and digital design and promises to make you more productive by helping you avoid distractions and--surprisingly enough--the compulsion to keep an eye on the clock so you don't miss important events and appointments. TechHive only covers the occasional crowdfunding project (the Glance Clock's Indiegogo campaign starts today). To catch our interest, the project has to be particularly interesting, and the startup must be able to provide a working prototype. Zriaschev has only a handful of those, so he made the three-hour trek from the San Francisco Bay Area to my home (and TechHive's de facto test lab) to show me his invention.

Bayer buying Monsanto, Uber's self-driving cars, a Navy commander faces attempted rape charges, and Hesperia's halfway houses might be closed. Bayer buying Monsanto, Uber's self-driving cars, a Navy commander faces attempted rape charges, and Hesperia's halfway houses might be closed. Shirley Teeter was punched while attending a Donald Trump rally on Sept. 13 in Asheville, N.C. Shirley Teeter was punched while attending a Donald Trump rally on Sept. 13 in Asheville, N.C. For decades, environmentalists have rhapsodized about the tranquil beauty of California's deserts while battling fiercely with energy companies, the government and within their own ranks over what if any power production should occur on those sun-baked, wind-blown, geothermally active expanses of land.

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Like most sectors, the solar industry is rapidly embracing ways to analyze and crunch data in order to lower the cost of solar energy and to open up new markets for their technology. The rise of data tools--algorithms, machine learning, sensors--are driving investments in, and acquisitions of, solar startups, while entrepreneurs are launching new companies that are using data to solve various solar industry problems. Meanwhile, big companies are spending money on tracking, monitoring and evaluating data from solar projects worldwide, helping to lower the cost of generating energy from the sun. It shouldn't come as a surprise that the solar sector is the latest to embrace the value of data. Other traditionally non-digital sectors, like the auto industry, oil and gas, and agriculture are turning to managing data as a necessity to keep their technology competitive and their companies in business.

U.S. stocks were slightly higher Wednesday morning as utility companies climbed. Energy companies were trading lower as the price of oil continued to slip. Stocks are at their lowest levels in two months after large losses in two of the last three days. The Dow Jones industrial average advanced 31 points, or 0.2%, to 18,097 as of 10:05 a.m. The Standard & Poor's 500 index rose 5 points, or 0.2%, to 2,132.

Peter's review of the landscape suggests that over the past few years, a largely unheralded energy revolution has quietly got under way: that the feedback loops that have kept fossil fuels strong, and renewables weak, are undergoing a reversal. With renewables ascendant, and fossil fuels on the brink of a public opinion pivot akin to the one experienced by the tobacco industry a decade ago, what can we expect from the energy landscape of 2020? The Reinventing Energy Summit will explore the opportunities of applying AI and machine learning techniques to efficiently manage energy generation and consumption; predicting energy supply; smart grid management and operations; intelligent control of energy storage; batteries, and much more.

On April 13th 2016, Norway's Prime Minister was hosted in Singapore by Norway's leading multinational company DNV GL. The PM unveiled -The Hive- a fully autonomous drone docking station developed by SwarmX a one year old startup. Pulkit Jaiswal the 23year old CEO of SwarmX who I interviewed over skype as part of my coverage of the global event for tech startups Rise was understandably elated at the development. Pulkit with two other co Founders created SwarmX in April 2015. Prior to that, he spent three years building Garuda Robotics along with two other Founders.

Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms. In this survey, we provide an in-depth review of the role of Bayesian methods for the reinforcement learning (RL) paradigm. The major incentives for incorporating Bayesian reasoning in RL are: 1) it provides an elegant approach to action-selection (exploration/exploitation) as a function of the uncertainty in learning; and 2) it provides a machinery to incorporate prior knowledge into the algorithms. We first discuss models and methods for Bayesian inference in the simple single-step Bandit model. We then review the extensive recent literature on Bayesian methods for model-based RL, where prior information can be expressed on the parameters of the Markov model. We also present Bayesian methods for model-free RL, where priors are expressed over the value function or policy class. The objective of the paper is to provide a comprehensive survey on Bayesian RL algorithms and their theoretical and empirical properties.