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ANALYSIS: Ray Dalio, the founder of Bridgewater Associates, the largest hedge fund in the world, hired IBM's Watson programming team to incorporate artificial intelligence into the investment process. Later this year, I will be doing something similar, so stay tuned to learn more about this exciting endeavour. Today we have Jamie Wise from BUZZ Indexes based in Toronto who recently launched an Artificial Intelligence driven ETF based index fund BUZ (US). The investment process uses natural language processing software and artificial intelligence to scour the internet for tweets, blogs, and searches for company names. One of the most interesting things is that the software is able distinguish between someone typing Amazon when talking about a bad product they bought on line and AMZN and a bad outlook for the stock.

Qualcomm Incorporated (NASDAQ: QCOM) today announced at the Embedded Vision Summit in Santa Clara, Calif. The SDK, called the Qualcomm Snapdragon Neural Processing Engine, is powered by the Qualcomm Zeroth Machine Intelligence Platform and is optimized to utilize Snapdragon's heterogeneous compute capabilities to provide OEMs a powerful, energy efficient platform for delivering intuitive and engaging deep learning-driven experiences on device. This SDK is the latest software addition to Snapdragon 820 and demonstrates Qualcomm Technologies' continued leadership by adding value for our customers to the Snapdragon portfolio. Qualcomm Technologies, with the introduction of the Snapdragon Neural Processing Engine, is the first mobile SOC provider to offer a deep learning toolkit optimized for mobile. This SDK will allow OEMs to run their own neural network models on Snapdragon 820 devices such as smart phones, security cameras, automobiles and drones, all without a connection to the cloud.

Qualcomm Technologies, with the introduction of the Snapdragon Neural Processing Engine, is the first mobile SOC provider to offer a deep learning toolkit optimized for mobile. This SDK will allow OEMs to run their own neural network models on Snapdragon 820 devices such as smart phones, security cameras, automobiles and drones, all without a connection to the cloud. Common deep learning user experiences that can be realized with the SDK are scene detection, text recognition, object tracking and avoidance, gesturing, face recognition and natural language processing. The Zeroth Machine Intelligence Platform is a Snapdragon-optimized software platform designed for mobile machine learning. Zeroth technology currently drives visual intelligence software such as Snapdragon Scene Detect and advanced malware detection software found in Snapdragon Smart Protect.

WIRE)--VirtusaPolaris, the market-facing brand of Virtusa Corporation and Polaris Consulting & Services, Ltd. and a leading worldwide provider of information technology (IT) consulting and outsourcing services, and WorkFusion, the leading smart process automation (SPA) provider, today announced a partnership to deliver new smart automation solutions for the banking and financial services (BFS) market. The combination of VirtusaPolaris' deep BFS industry and process expertise and WorkFusion's cutting edge platform will help clients reduce operational costs, while improving quality, productivity and agility. "Most financial services organizations continue to struggle with inefficient legacy systems that have not kept pace with the change in business and regulations, introducing gaps in process automation that negatively impact efficiency of business operations. Many of these gaps are low complexity high volume routine process steps and most organizations have deployed large operational workforces, frequently offshore, to handle these processes," said Bob Graham, global solutions head, Banking and Financial Services at VirtusaPolaris. "WorkFusion's combination of robotic and cognitive automation supported by VirtusaPolaris' expert consulting and implementation services allow customers to improve quality through greater accuracy and the removal of human error, reduce costs through rapid automation of manual tasks, and accelerate time to market with our proven delivery approach."

Infosys has launched a machine learning platform and strengthened its partnerships with Microsoft. The platform is called Mana and aims to drive automation and bring in innovation amongst businesses, the company said at its annual conference in San Fracisco. Mana, with the Infosys Aikido service offerings, lowers the cost of maintenance for both physical and digital assets; captures the knowledge and know-how of people in an organisation; simplifies core business processes and enables businesses to bring new user experiences leveraging technology, the company said in a statement. Addressing the gathering, Vishal Sikka, CEO & Managing Director, Infosys, said that purposeful AI is about leveraging technology to amplify people. "We can automate the repetitive, mechanisable tasks; we can capture the knowledge and know-how across people and long-lived systems and bring this knowledge back inside the systems to drive more value; and in doing these things we can free people to put all of our creativity, passion, and imagination into thinking about the bigger opportunities ahead of us," he added.

DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Artificial Intelligence and the Agricultural Industry" report to their offering. The world population will grow from 7.3 billion people today to 8.2 billion by 2025, and 9.7 billion by 2050. As a society, we will need to produce 70% more food than is currently produced today. The agricultural Industry requires a revolution and artificial intelligence is that revolution. Artificial intelligence will drive five use cases that will enable the industry to balance the need to produce more food and the need to reduce environmental impact.

Fresh off its promotion at Facebook's F8 developer conference, Poncho announced today that it has raised 2 million for its personalized weather forecasting service. The round was led by Lerer Hippeau Ventures and will be earmarked for improvements to Poncho's natural language processing, in addition to building artificial intelligence and data science technology into its bots and apps. Participating investors include Greycroft Partners, Comcast Ventures LP, Venture51 Capital Partners, RRE Ventures, Betaworks, Broadway Video Ventures, Ore Ventures, and several angel investors. Started two years ago out of Betaworks, Poncho offers a weather forecast alternative to Yahoo Weather, AccuWeather, and The Weather Channel. The company seeks to dominate what CEO Sam Mandel calls "thin content," which is activity that "takes place within the notification layer and also on a messaging platform that's contextually relevant, customized, and comes at the right time, but with enough polish to be engaging and cause a happy emotion."

Second beauty contest, where humans are judged by Artificial Intelligence Beauty.AI 2.0 launches. Robot judgement day is set for 01.08.2016. People are encouraged to download the free Beauty.AI 2.0 mobile app in either the Google Play market or Apple App Store and algorithm developers should reach out to the organizers through a form on the http://beauty.ai/ Beauty.AI 1.0 was covered by the leading reporters and journalists at New Scientist, Techcrunch, Cosmopolitan, GQ, Yahoo! Beauty.AI 2.0 will provide valuable prizes for both human competitors and robot jury members.

RE•WORK will host it's annual East Coast events on Deep Learning and the Internet of Things in Boston on 12 & 13 May. Over 300 machine learning and IoT enthusiasts and experts will come together to hear keynote presentations, panel discussions, fireside chats and to explore the startup showcase area. The Deep Learning Summit brings together leaders from industry, academia and startups to explore advances in deep learning methods and techniques, as well as their business applications in areas including finance, manufacturing, healthcare & transportation. Professor Bengio is also Head of the Machine Learning Laboratory, Co-director of the CIFAR Neural Computation & Adaptive Perception program, and editor of many prestigious machine learning publications. Daniel's work has been reported on in The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist and Forbes magazine.