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Call Postdoctoral fellow positions - BCAM - Basque Center for Applied Mathematics
Please attach one file in ."pdf" Please attach one file in ".pdf" containing your letter of interest (Max. Please attach the Statement of past and proposed future research (2-3 pages) in .pdf The reference letters shall be submitted directly by the referees. Each referee you indicate in this form shall automatically receive an e-mail with instructions to submit the recommendation letter to BCAM.
Google Cuts Its Giant Electricity Bill With DeepMind-Powered AI Data Center Knowledge
Google just paid for part of its acquisition of DeepMind in a surprising way. The internet giant is using technology from the DeepMind artificial intelligence subsidiary for big savings on the power consumed by its data centers, according to DeepMind Co-Founder Demis Hassabis. In recent months, the Alphabet unit put a DeepMind AI system in control of parts of its data centers to reduce power consumption by manipulating computer servers and related equipment like cooling systems. It uses a similar technique to DeepMind software that taught itself to play Atari video games, Hassabis said in an interview at a recent AI conference in New York. The system cut power usage in the data centers by several percentage points, "which is a huge saving in terms of cost but, also, great for the environment," he said.
A tougher Turing Test shows that computers still have virtually no common sense
Apple fixed this error shortly after its virtual assistant was first released in 2011. But a new contest shows that computers still lack the common sense required to avoid such embarrassing mix-ups. The results of the contest were presented at an academic conference in New York this week, and they provide some measure of how much work needs to be done to make computers truly intelligent. The Winograd Schema Challenge asks computers to make sense of sentences that are ambiguous but usually simple for humans to parse. Disambiguating Winograd Schema sentences requires some common-sense understanding.
Careers
Would you like to see a machine that can carry on an intelligent and helpful conversation? Want to be part of the next wave of AI-driven innovation in customer care? If you answered yes to the above, you could be just what we're looking for... True AI is a venture backed artificial intelligence startup that automates customer support using machine learning/deep learning. Our product is the result of our own research, building on top of cutting-edge deep learning breakthroughs. The founders are deep learning experts, with backgrounds at labs of names such as Yoshua Bengio and Amazon.
BAE to Develop Machine Learning Tech to Support USAF Space Situational Awareness - GovCon Wire
TYSONS CORNER, VA, July 19, 2016 -- BAE Systems has received a 9.4 million contract from the U.S. Air Force to develop and integrate a machine learning tool that works to support space situational awareness efforts, ExecutiveBiz reported Monday. The Defense Department said Friday BAE Systems Inc. will also utilize analytics, high-performance computing and reasoning visualization technologies to build the platform. About Executive Mosaic: Founded in 2002, Executive Mosaic is a leadership organization and media company. It provides its members an opportunity to learn from peer business executives and government thought leaders while providing an interactive forum to develop key business and partnering relationships. Executive Mosaic offers highly coveted executive events, breaking business news on the Government Contracting industry, and delivers robust and reliable content through seven influential websites and four consequential E-newswires.
Is AI a dude or a dudette?
Sure, Facebook has "M", Google has "Google Now", and Siri's voice isn't always that of a woman. But it does feel worth noting that (typically male-dominated) engineering groups routinely give women's names to the things you issue commands to. Is artificial intelligence work about Adams making Eves? The response to this critique is usually about the voices people trust and find easy to understand. Adrienne LaFrance over at The Atlantic does a good job discussing those points, so go read her article.
Stock Picking Strategies Based on Deep Learning: Highest Return of 47.46%
This Stocks forecast is designed for investors and analysts who need predictions of the best performing stocks for the whole Energy Industry (See Industry Package). Package Name: Energy Stocks Recommended Positions: Long Forecast Length: 14 Days (07/04/16โ 07/18/16) I Know First Average: 12.89% With 7 out of 10 top stocks increasing as predicted and incredible returns coming from these stocks, this forecast, based on deep learning, from the Energy package was able to achieve overall growth of 12.89% compared to the S&P 500's 3.04% growth for the same period. The most impressive stock from this forecast was SGY returning 47.46%. Algorithmic traders utilize these daily forecasts by the I Know First market prediction system as a tool to enhance portfolio performance, verify their own analysis and act on market opportunities faster. This forecast was sent to current I Know First algorithmic traders.
Jobcombinator Projects list
Mind is looking for a high-level profile for the development of a software infrastructure for the intelligent management of a smart home environment. The software will have to interface with an existing framework able to provide both generic sensor data (temperature, CO, CO2, energy consumption, etc ...) and high-level information extracted from a vision system. The candidate will be asked to create a reasoning engine that, based on their findings, both deterministic and probabilistic (fuzzy), will implement in real time the best strategy in the management of the home, in comfort optics, safety and energy savings .