Tuesday, 22nd of November, 2016, Baltimore, MD - Insilico Medicine, Inc and YMK Photonics, Inc announced today a research collaboration and business cooperation to develop photonics quantum computing and accelerated deep learning techniques for drug discovery, biomarker development and aging research. On the 15th of November, 2016 in the presence of over 800 YMK employees, customers, partners and investors, the Chairman of YMK Holdings, Mr. Kim Young Mo, the CEO of Insilico Medicine, Alex Zhavoronkov, PhD and Head of Insilico Korea, Professor Youngsook Park signed a memorandum of understanding to pursue mutual benefit in deep learning and cognitive photonics computing. "YMK is pursuing a very big vision. Extending healthy human longevity is not only the most altruistic cause, but a pressing socio-economic necessity. Insilico Medicine made substantial advances in applying deep learning techniques to drug development and aging research, but to accelerate the process and simulate entire human bodies and populations or generate optimal molecular structures, they could really benefit from our expertise in quantum computing. This collaboration is the first step towards cognitive quantum photonic computation for drug discovery and longevity research", said Mr. Kim Young Mo, the Chairman of YMK Holdings.

New analytics engine for users allows anyone to receive fast, accurate imaging analysis for key clinical conditions, by simply uploading their scans to Zebra's online system Zebra Medical Vision (https://www.zebra-med.com/), the leading machine learning imaging analytics company, is launching Profound (http://profound.zebra-med.com) The company's new service allows people to upload their medical imaging scans such as CTs and Mammograms to Zebra's online service, and receive an automated analysis for key clinical conditions. This Smart News Release features multimedia. "We are all anxious about our health. Undergoing an imaging scan such as a CT or a Mammogram is stressful for many people, often compounded by a long wait for results, with additional follow-up tests and examinations." said Elad Benjamin, co-founder and CEO of Zebra Medical Vision.

PARIS--(BUSINESS WIRE)--PIQ, a leading French start-up in sports wearables today unveiled a breakthrough innovation with the introduction of a genuine Artificial Intelligence interface dedicated to sports activities. After 2 years of R&D and €13m investments, PIQ's 50 engineers developed a revolutionary technology, protected by 10 international patents allowing to identify athletes' Winning Factors, highlighting the key strength they should leverage on to succeed. From a world where connected sports were limited to the capture of basic data, PIQ's two cutting edge innovations are opening new horizons to the Sport Wearables industry: The combination of GAIA and PIQ ROBOTTM enables athletes to identify their Winning Factors, highlighting the key strength they should leverage on to succeed. GAIA – GAIA is the first Artificial Intelligence system that autonomously understands sports movement. GAIA is capable of breaking down and analyze sports movements via specific motion-capture algorithms.

Toronto-based IT software developer announced today the pilot program, Karen by Karen.ai, a cognitive recruiting chatbot that engages candidates throughout the application process, matches candidates to alternative positions and provides screening support before, during and after the recruiting process. "Karen derives concepts and personality traits from candidates' resumes and cover letters and assesses the level of engagement and gains deeper insights through a simple text chat conversation. This conversation improves the candidate's experience of the recruitment process and represents the company's brand," said founder Noel Webb. Webb also noted Karen can follow up with candidates during and after the requisition and provide alternative options within the company for which they may be better suited. While automated solutions have existed in recruitment for nearly a decade, Karen takes these automations one step further, because Karen can learn from conversations with candidates and predict other positions for which they might be a match.

Google announced today that it will extend funding for AI research at the Montreal Institute for Learning Algorithms (MILA). The company will invest a total of C$4.5 million, or about US$3.4 million, to fund seven faculty members across the institute, as well as MILA faculty at the University of Montreal and McGill University. That funding will also continue to support Yoshua Bengio, one of the few deep-learning experts currently working. There's no doubt that Google is hoping to expand its AI and deep-learning expertise by investing in folks like Benigo. Google also announced it will be opening up a deep-learning and AI research group at its offices in Montreal.

Across the globe, energy systems are changing and creating unprecedented challenges for the organisations tasked with ensuring the lights stay on. In the UK, National Grid is facing shrinking margins, looming capacity shortages and unpredictable peaks and troughs in energy supply caused by increasing levels of renewable penetration. At the Reinventing Energy Summit, Michael Bironneau, Head of Technology Development at Open Energi, will explore how the same machine learning techniques that have let machines defeat chess and Go masters, can also be leveraged to orchestrate massive amounts of flexible demand-side capacity – from industrial equipment, co-generation and battery storage systems – towards the one goal of creating a smarter grid; one that is cleaner, cheaper, more secure and more efficient. For World Cities Day 2016, I asked Michael a few questions to learn more about utilising data science in energy, creating a smarter grid, political challenges, and more. What are the main transformative technologies that will help create a smarter grid?

BellHawk Systems Corporation announces the availability of a new white paper "Artificial Intelligence and the Smart Industrial Warehouse." This white paper is available for download from the front page News section of www.BellHawk.com. In the popular press, there is much ado made about Artificial Intelligence (AI) being used in robots that buzz about high volume retail warehouses, automatically picking consumer products that are being shipped overnight in response to orders made over the Internet. But this misses all the ways that AI can be used to inexpensively improve the operation of industrial warehouses without a major investment in robots or other expensive materials handling equipment by providing the information and advice that managers, supervisors, and material handlers need to do their jobs efficiently. This white paper examines how AI based operations tracking and management systems, such as BellHawk, can be used to improve the efficiency of industrial warehouses, prevent mistakes, and enable customer orders to be shipped on time.

NEW YORK & LAS VEGAS--(BUSINESS WIRE)--Today at Money 20/20, Mastercard announced its plans to launch artificial intelligence (AI) bots that allow consumers to transact, manage finances, and shop via messaging platforms. According to research firm Gartner, nearly $2 billion in online sales will be performed exclusively through mobile digital assistants by the end of 2016.1 Mastercard is developing bots for both its merchant and bank partners, which will use chat, messaging and natural language interfaces to communicate with consumers. With the Mastercard bots, partners can have a true dialogue with consumers and provide personalized service, seamless user experience and contextual offers and rewards. Mastercard KAI, the Mastercard bot for banks, will seamlessly extend Mastercard services to customers on messaging platforms and make financial information and decisions part of consumers' everyday lives. In this testing phase on Messenger, Mastercard is partnering with Kasisto, the company that created KAI Banking, the conversational artificial intelligence (AI) platform, to power branded virtual assistants and smart bots for financial services and is a current participant in the Mastercard Start Path Global program.

"Intel sees AI transforming the way businesses operate and how people engage with the world," the company said in a statement yesterday. "Intel is assembling the broadest set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars." Dubbed Intel Nervana, the new platform comes courtesy of the company's acquisition of the two-year-old Nervana Systems announced three months ago. The platform will be optimized for AI workloads with an emphasis on both speed and ease of use. The first product in the platform, a chip codenamed "Lake Crest," will begin testing in the first half of next year and will eventually be available to key customers later that year, according to Intel.

Intel has flexed its AI muscles and beefed up its services with a bunch of new products and collaborations, in an effort to adapt to the technological upheaval of intelligent software. At Intel's first "AI Day" in San Francisco, Brian Krzanich, CEO, said the company is "continuing to evolve" and working to provide an "end-to-end AI solution" to allow companies to easily integrate intelligence into their infrastructures. As data generated by companies continues to pile up, the interest in analyzing that data using machine learning and AI has been piqued. The largest technology companies are all making big investments and staking their claims in AI. But while companies such as Google and Microsoft have developed libraries of machine learning tools such as TensorFlow and Cognitive Toolkit, Intel is more focused on updating servers to cope with the intense computation required to process and train AI systems.