"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.

Tapan Agarwal, Product Council Head at iGTB, has been cited in Global Trade Review in an article discussing the use of AI in the financial services industry. The article describes how financial services provides a fertile ground for AI applications because AI's strength comes from the quality of the data fed to it, and financial institutions themselves are data mines. In trade finance, AI applications can be found particularly in the field of compliance to prevent money laundering and fraud. Banks are currently facing the challenge of increased regulation in these areas, and keeping up with various requirements can be challenging for compliance departments. "Banks are failing to identify threats and fraudulent activities by relying solely on curated databases," commented Agarwal.

Apple CEO Tim Cook was the subject of an in-depth interview published over the weekend in The Washington Post in which he talked about a wide range of issues, including augmented reality (AR) and artificial intelligence (AI), the future of the iPhone, and the company's North Star. In the interview, Cook dismissed the idea of the iPhone accounting for two-thirds of Apple's revenues being problematic, calling the smartphone's dominance a privilege and expressing his belief that one day, every person on earth will own a smartphone. Cook also defended the company's progress in AI technology, pointing to the expanding capabilities of Siri, the digital assistant that Apple launched in 2011. Apple is opening up Siri to third-party developers so the technology can be used by other applications -- such as Uber or Lyft, as Cook pointed out -- to help users complete tasks faster and more efficiently. Earlier this month, the company reportedly bought Turi, a Seattle-based startup company and the latest purchase in a string of acquisitions aimed at bolstering its machine learning and AI capabilities.

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.

The next time you're hired, you might find yourself getting information about payroll, vacations, and expenses by talking to a chatbot instead of consulting a handbook for new employees or talking to someone in HR. A startup called Talla, based in Boston, is working on chatbots designed to help new workers get up to speed and be more productive. The company is using advanced machine learning and natural language processing techniques in an effort to create software that is smarter than the average bot. Talla recently launched a simple prototype bot for managing to-do lists on the workplace communications platform Slack. So far, about 600 companies have added the chatbot to their Slack channel and are using it, says May.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Deep learning neural networks are very easy to create and evaluate in Python with Keras, but you must follow a strict model life-cycle. In this post you will discover the step-by-step life-cycle for creating, training and evaluating deep learning neural networks in Keras and how to make predictions with a trained model.

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."

I'll respond more specifically for deep learning. You can get a broad idea of deep what deep learning is about through tutorial lectures that are available from the Web.

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.