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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 .
Pinterest's commerce head explains how A.I. and machine learning will transform shopping
Ankur Arya, Braintree's mobile general manager, and Michel Yamartino, Pinterest's head of commerce, took the stage at VentureBeat's MobileBeat 2016 event to talk about machine learning, artificial intelligence, and how the two concepts are transforming commerce. You can watch the full discussion below.
Shutterstock releases a keyword suggestion tool for iPhone that uses artificial intelligence - Amateur Photographer
The new feature aims to make the process of submitting images through their iOS app easier for users. Shutterstock requires contributors to add between seven and 50 keywords to their images when uploading them to the system, to help customers find appropriate images for their needs. Their app uses artificial intelligence to review metadata and pixel data to suggest several keywords for the images contributors are uploading, that users can tap to select. It works by using computer vision technology to locate visually similar images to the uploaded image, and automatically suggest and previously successful keywords for the user to select. The tool is being launched for mobile initially, to make the process of submitting images when using the smaller keyboard of a mobile phone easier.
Applying IoT and Swarm Algorithms to Reduce Traffic Congestion
Southern California recently experienced a 55-hour closure of the 91 Freeway, resulting in a 6-mile backup that intersected State Route 71 and Interstate 15. The closure was called the "Coronageddon" (it ran through the heart of Corona). Just a few years ago a big closure of Highway 405, dubbed "Carmageddon," resulted in a traffic jam that reached immense proportions and made national news. These are extreme instances of massive traffic congestion, but more commonly we all deal with daily traffic jams as people get to work and school, the lunch rush hour, and the all-too-familiar and stressful evening commute. Traffic patterns are studied by cities, but most use a low tech approach.
The Emerging Potential for Video Analytics-as-a-Service
Video surveillance is one of the fastest growing segments in the physical security industry. In the prevailing security environment, the need for video surveillance is growing exponentially. From smart cities to stadiums, from retail mega-markets to homes, video surveillance has become a pervasive phenomenon. Several petabytes of video data are being generated globally every year from this growing number of video surveillance installations. However, a large amount of video which is captured is never analyzed for actionable intelligence and, in many cases, a large team of human operators is required to monitor the video feeds.