"By developing a sophisticated molecular builder, using state-of-the-art quantum chemistry and machine learning, in addition to drawing on the expertise of experimentalists, we discovered a large set of high-performing blue OLED materials," said Aspuru-Guzik, Professor of Chemistry and Chemical Biology, who led the research. "Following that validation, I am extremely excited to see this platform adopted for commercial development, utilizing its capabilities for the rapid screening of TADF materials." The algorithms dramatically reduce the computational cost of testing candidate molecules for new technologies. In addition to Kyulux's licensing of the software, three key researchers who developed the system in Aspuru-Guzik's research group and were co-authors on the Nature Materials publication have chosen to join Kyulux's computational chemistry group in Boston. Professor Aspuru-Guzik will also join the company as a part-time scientific advisor.

This week, Intel announced the acquisition of machine learning startups Nervana Systems for a rumored 400M. This move is intended to improve Intel's artificial intelligence(AI) and machine learning (ML) capabilities in its next generation architecture. The acquisition follows the news of Apple's acquisition of Seattle-based AI startup Turi for about 200M. These series of M&A events are signaling that we are entering a time of consolidation in the AI and ML markets.

Anagog, the leading provider of mobility status services and solutions for mobile apps and Holaverse, a leading mobile app publisher with a portfolio of games and utility apps, announced today their collaboration to include Anagog's Mobility Status SDK in the entire Holaverse portfolio of apps. Omni Swipe, Holaverse's popular accessibility app with over 100 million Google Play downloads worldwide, is the first app to be integrated with Anagog's innovative machine-learning algorithms to provide context awareness and activity classification. Holaverse hopes such smart technology will provide better functionality, convenience, and experiences for its global userbase. "We are very happy to work with Anagog," said Collin Huang, Co-Founder at Holaverse. "We found their technology to be a diffenetiator when it comes to providing the right service to our users at the right time and in the right place."

Experienced machine learning developer, Hugh Perkins, author of the popular open source OpenCL libraries DeepCL and cltorch, is an avid user of the Nimbix cloud. Mr. Perkins chose to work with Nimbix in addressing machine learning due to the powerful platform API, industry-leading selection of GPUs, superior-performance and economics. "Nimbix is a breath of fresh air," said Mr. Perkins. "The per-second billing, spin up times of seconds, and the availability of high end GPUs, make Nimbix an awesome choice for machine learning developers." The Nimbix cloud platform is democratized and developer-friendly, allowing users to monetize their trained neural networks in the application marketplace.

The first UK Robotics Week took place from 27 June to 1 July, with events and activities around the country showcasing leading UK technology and engineering research in robotics and autonomous design. Co-ordinated by the Engineering and Physical Sciences Research Council's UK Robotics and Autonomous Systems (UK-RAS) Network, and supported by the Royal Academy of Engineering, the Institution of Engineering and Technology and the Institution of Mechanical Engineers, the week sees robotic research groups from around the world visiting the UK to demonstrate their latest technologies in surgical robotics, field robotics, autonomous driving and unmanned aerial vehicles, while other challenges are set to engage and inspire school, college and university students. On 29 June, the Academy hosted a panel discussion on robotic ethics. The event also featured a Pepper and a NAO robot, from London Design and Engineering UTC, which will be some of the first in the UK to be used in an educational setting. The panel discussion can be found on Twitter at @RAEngNews.

The next Machine Intelligence Summit will take place in New York on 9-10 November, to explore how AI will impact transport, manufacturing, healthcare, retail and more. Early Bird tickets are now available for this event - for more information and to register, visit the event page here. See the full events list here for events focused on AI, Deep Learning and Machine Intelligence taking place in London, Amsterdam, Boston, San Francisco, New York and Singapore.

Google announced today that it has acquired Paris-based Moodstocks, a startup that has developed machine learning technology to bolster the image recognition features on smartphones. "We continue to pursue our machine learning and research efforts," wrote Vincent Simonet, head of the research and development team for France Google, "and Moodstocks is the latest proof of our commitment to this area." Today, we're thrilled to announce that we've reached an agreement to join forces with Google in order to deploy our work at scale. We expect the acquisition to be completed in the next few weeks. Our focus will be to build great image recognition tools within Google, but rest assured that current paying Moodstocks customers will be able to use it until the end of their subscription. The terms of the deal were not disclosed.

NEW YORK--(BUSINESS WIRE)--Today, Macy's (NYSE:M) announced the pilot of "Macy's On Call," a mobile web tool that allows customers to interact with an AI-powered platform via their mobile devices. "Macy's On Call" taps IBM Watson, via Satisfi, an intelligent engagement platform, to deliver a first-of-its-kind solution that will enhance the customer in-store shopping experience at 10 test locations nationwide. The mobile companion, accessed via a mobile browser, allows customers to input natural language questions regarding each participating store's unique product assortment, services and facilities and receive a customized response to the inquiry. There are a number of ways that customers may request information. For example, a customer could type, "Where are the women's shoes?" or type a combination of brand and product inquiry such as "I.N.C dress," and they will receive the relevant response and location of that product in the store.

MedyMatch Technology Ltd., announced today that it has been ranked in the list of "100 Most Promising BigData Solution Providers" by CIOReview. "The companies selected for our 100 Most Promising BigData Solution Providers 2016 list are an elite group of companies whose products and solutions are changing their respective industries," said Jeevan George, Managing Editor of CIOReview. "We are proud to feature MedyMatch Technology in this edition for its effort in helping organizations to easily and quickly adopt BigData analytics as a core part of their business and accelerate conversion of data into valuable business insights." "It is an honor to be recognized by CIOReview for MedyMatch's achievements in cognitive analytics, artificial intelligence and medical imaging," said Robert Mehler, coFounder & COO. "It is a testament to the accomplishments and capability of our product development team in conjunction with our medical big data clinical partnerships," adds Mehler.

As the pioneer in artificial intelligence field, Baidu chose the Inspur NF5568M4 heterogeneous supercomputing server in its unmanned auto road condition model training. Artificial intelligence has advanced through the years and voice recognition, intelligent hardware, and driverless cars are all technologies that influence our lives. Behind artificial intelligence technology is a neural network that is built from deep learning -- mimicking mechanisms of the human brain when interpreting data. In order to meet all the latest deep learning requirements, a high-performance CPU GPU co-processing acceleration server is growing to become the essential foundation for artificial intelligence hardware.