CALGARY, Alberta--(BUSINESS WIRE)--The Alberta Machine Intelligence Institute (Amii) and Imperial have announced a two-year agreement to collaborate on the development of Imperial's in-house machine learning capabilities, which will enable a range of applied artificial intelligence (AI) projects. Through these projects, Imperial will work to develop more effective ways to recover oil and gas resources, reduce environmental impacts and improve the safety of its workforce. "At Imperial, we are taking action to be a leader in advancing digital and AI technology across the value chain," said John Whelan, Imperial's senior vice-president, upstream. "Amii is not only a leader in the AI space globally, but based locally in Alberta. We believe the institute is a perfect partner to help us showcase Alberta's leadership in technology and digital solutions for responsibly-produced oil and gas."

Google open source machine learning library TensorFlow 2.0 is now available for public use, the company announced today. The alpha version of TensorFlow 2.0 was first made available this spring at the TensorFlow Dev Summit alongside TensorFlow Lite 1.0 for mobile and embedded devices, and other ML tools like TensorFlow Federated. TensorFlow 2.0 comes with a number of changes made in an attempt to improve ease of use, such as the elimination of some APIs thought to be redundant and a tight integration and reliance on tf.keras as its central high-level API. Initial integration with the Keras deep learning library began with the release of TensorFlow 1.0 in February 2017. It also promises three times faster training performance when using mixed precision on Nvidia's Volta and Turing GPUs, and eager execution by default means the latest version of TensorFlow delivers runtime improvements. The TensorFlow framework has been downloaded more than 40 million times since it was released by the Google Brain team in 2015, TensorFlow engineering director Rajat Monga told VentureBeat earlier this year.

EY today announced it is coming together with the Partnership on AI, a multistakeholder not-for-profit corporation formed to better understand the impacts of artificial intelligence (AI) technologies and to serve as an open platform for discussion and engagement around AI's impact on people and society. This decision reflects the commitment of EY to collaborate with the public and private sectors, civil society, academia and beyond, not only to establish governance and controls necessary for building and maintaining trust in AI systems, but also to help ensure the meaningful technological advancements of AI will have a positive impact. Earlier this month, EY established the first cross-disciplinary EY AI Advisory Board to develop rigorous approaches to addressing the ethical challenges surrounding emerging technologies and help implement strategies for building trusted AI systems. Led by Nigel Duffy, EY Global Artificial Intelligence Leader, the EY AI Advisory Board consists of four academic professionals who are experienced in computer science, technology and ethics, and possess a range of diverse knowledge on the subject matter. Duffy and other EY leaders will meet with the board regularly, with the first meeting taking place in London next month.

Scientists from the University of Texas at Dallas announced a groundbreaking new approach for improving control of prosthetics with the use of artificial intelligence (AI) at the 2019 IEEE International Symposium on Measurement and Control in Robotics Symposium this month. The research findings show a huge leap forward in the goal of fully end-to-end optimization of electromyography (EMG) controlled prosthetic hands. There are more than 40 million amputees across the globe, according to the World Health Organization. Recent advances in prosthetic hand and limb technology have greatly improved the quality of life for upper-limb amputees. However, gaps remain in the control of prosthetic hands, specifically in using naturally generated electric signals from the patient's muscles.

The "Digital Innovators: Artificial Intelligence" report has been added to ResearchAndMarkets.com's offering. Aimed squarely at strategists and planners, they draw on The author's vast information resources to give top line insight across markets and within consumer segments. AI has embedded itself in each aspect of e-commerce, offering endless opportunities. It promises lucrative prospects for companies with real-time data, and consumers a seamless experience. In a world where innovation is key to staying relevant, AI is more than ever an innovator's game.

Charleston, S.C. – October 1, 2019 – Benefitfocus, Inc. (NASDAQ: BNFT), a leading cloud-based benefits management platform and services provider, today announced several product and catalog enhancements designed to boost consumers' education around benefits and make it easier for employers to streamline the benefits selection process. The upgrades demonstrate Benefitfocus' commitment to creating and expanding on its hyperconnected ecosystem for employers, suppliers, consumers and brokers, leveraging data and artificial intelligence (AI) designed to enable more meaningful interactions and new sources of value to customers. Workflows utilizing the BenefitSAIGE artificial intelligence (AI) platform offer data-driven, tailored insights and an easily-managed communication system around their employer's benefit options. For the first time, in addition to the industry-leading pre-configured health, wealth, property and lifestyle products available as part of Benefitfocus' BenefitsPlace, consumers will have the opportunity to access personal auto insurance underwritten by national insurers. Employers will also be able to offer employees an alternate payment method via their personal credit card, thus reducing the administrative payroll burden for HR Administrators.

Dotscience, the pioneer in DevOps for machine learning (ML), today announced its schedule of presentations at upcoming industry events through the end of 2019. Dotscience will be exhibiting its DevOps for ML platform, which provides collaborative, end-to-end ML data and model management. Dotscience helps simplify, accelerate and control AI and ML models through the entire model development lifecycle. Dotscience makes it possible for ML engineering to be just as simple, fast and safe as modern software engineering when using DevOps techniques. The company sees a parallel between the challenges of software development in the 1990s and the current state of ML model management today.

Ever since British economist John Maynard Keynes first declared that investors are prey to people's urge to act, however irrationally, the financial world has tried to quantify the impact of public sentiment on stock prices. Solving the puzzle would give investors in the know a huge advantage over the competition. Over the past decade, one vibrant corner of that still ongoing research has been data analysis. The goal has been to tease out clues about sentiment that are hidden in news articles, regulatory filings, transcripts, and press releases. With the rise of artificial intelligence, the sophistication of sentiment-measuring technology is increasing.

The nation's thought leaders in Artificial Intelligence (AI) will discuss innovation and share insight into the application of AI in all aspects of life, society and medicine at the eighth annual SINAInnovations festival on October 15-16 at Icahn School of Medicine at Mount Sinai in New York City. A Health Hackathon challenge will kick-off the festival on October 11-13, and will focus on creating novel solutions using AI that expands the limits of human performance. Topic areas for the health hackathon include: E-Sports, Mobility, and Adaptive Sports; Memory and Mental Agility; Social Connectivity and Communication; and Professional Performance in Medicine. "Artificial intelligence is reshaping our world and promises to transform the science and practice of medicine. We are delighted to host an event that captures the promise of this field through a range of presentations by thought leaders and innovators. It will be an event to remember."

On September 18, 2019, RoboSense announced at Brussels, Belgium that its flagship product RS-LiDAR-M1 Smart LiDAR Sensor has been awarded the elite AutoSens Awards trophy in the "Best Automotive Safety System" category, given to only the highest-rated innovative product or technology in the automotive industry. This press release features multimedia. True autonomous driving requires human-like advanced sensing of the environment for driving with little or no human input. The safety of passengers and passers-by is always the priority concern for autonomous driving. When the RS-LiDAR-M1 is integrated into the current autonomous driving car perception system, it overcomes the weaknesses of millimeter wave radar and camera technologies on identifying obstacles, and eliminates car accidents, such as Tesla's recent cases, greatly improving the security of autonomous driving and ensuring passenger safety.