As Hyperloop One continues its attempt at building the future of public transportation, it's moving on without the baggage of a messy lawsuit. The company announced today that it has reached a settlement with former employees, including co-founder and former CTO Brogan BamBrogan. No terms were disclosed, however, the lawsuit contained allegations of financial mismanagement, harassment and threats, which Hyperloop One had responded to with a $250 million suit of its own, claiming the exec had tried to lead a coup within the company. In a memo to current employees, CEO Rob Lloyd looked forward, citing the company's opening of a fabrication facility, acquiring $50 million in financing and new partnerships. Now the company can focus on more standard issues, like delivering on its vision of self-driving vehicles that turn into high-speed train cars.

CAMBRIDGE, MA - 10 Nov 2016: IBM Watson Health (NYSE: IBM) and the Broad Institute of MIT and Harvard today announced a research initiative aimed at discovering the basis of cancer drug resistance. The five year, $50 million project will study thousands of drug resistant tumors and draw on Watson's computational and machine learning methods to help researchers understand how cancers become resistant to therapies. The anonymized data will be made available to the scientific community to catalyze research worldwide. IBM Watson Health and the Broad Institute bring the data prowess of Watson to study cancer drug resistance in a $50M research collaboration. The goal is to identify patterns that could reveal clues into one of the greatest medical mysteries of cancer.

Intel announced a slew of products, technologies and investment in an effort to fix its position in the field of artificial intelligence. In the new move, Intel has assembled a set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars. Intel is increasing its focus on AI as it believes it can power the AI products released recently by companies like Facebook and Google. In a blog Intel CEO Brian Krzanich had said, "Intel is uniquely capable of enabling and accelerating the promise of AI. Intel is committed to AI and is making major investments in technology and developer resources to advance AI for business and society."

BOULDER, Colo.--(BUSINESS WIRE)--Few technologies have the transformative potential to reshape how we live, move, and work. Electricity and the Internet were two technologies that fundamentally transformed life in the 20th century. Artificial intelligence (AI) is the 21st century equivalent of electricity and the Internet. According to a new white paper from Tractica, AI is expected to bring massive shifts in how people perceive and interact with technology, with machines performing a wider range of tasks, in many cases doing a better job than humans. Tractica's white paper analyzes 10 key trends that are influencing the development of the global artificial intelligence market, and is available for free download on the firm's website.

"In 2015 Chartis's continuous market scan of end-user organizations identified Ayasdi as one of the most innovative AI players in the risk and compliance space," said Peyman Mestchian, Managing Partner at Chartis. "We have been particularly impressed by the practical use-cases and proof points provided by Ayasdi and how its large-scale machine intelligence-based applications and overall platform strategy help some of the world's largest financial services firms to reduce the cost and risk of compliance." Ayasdi is well positioned globally to help financial services firms leverage AI to address pressing challenging including CCAR/stress testing, risk management, internal surveillance, client intelligence, market intelligence, fraud detection and anti-money laundering. Ayasdi's enterprise machine intelligence platform ingests and processes large volumes of internal data, market data, and/or third party data and then applies multiple machine learning, statistical and geometric algorithms to gain insight and predict the future. For some applications, such as anti-money laundering, Ayasdi operates autonomously behind the scenes to help reduce false positives in existing rule-base AML systems.

LIDAR sensors are an essential element in future fully autonomous or semi-autonomous self-driving cars. The system operates on the principle of time-of-flight measurement. A very short laser pulse is transmitted, hits an object, is reflected and detected by a sensor. From the time-of-flight of the laser beam it is possible to calculate the distance to the object. Scanning LIDAR systems scan the surroundings of the car horizontally with a laser beam across a certain angular segment and produce a high-resolution 3D map of the environment.

SALT LAKE CITY, UT--(Marketwired - Nov 15, 2016) - At SC16, AMD (NASDAQ: AMD) announced that Radeon GPU technology will be available to Google Cloud Platform users worldwide. Starting in 2017, Google will use AMD's fastest available single-precision dual GPU compute accelerators, Radeon-based AMD FirePro S9300 x2 Server GPUs, to help accelerate Google Compute Engine and Google Cloud Machine Learning services.(1) AMD FirePro S9300 x2 GPUs can handle highly parallel calculations, including complex medical and financial simulations, seismic and subsurface exploration, machine learning, video rendering and transcoding, and scientific analysis. Google Cloud Platform will make the AMD GPU resources available for all their users around the world. "Graphics processors represent the best combination of performance and programmability for existing and emerging big data applications," said Raja Koduri, senior vice president and chief architect, Radeon Technologies Group, AMD.

That fake news and misinformation on Facebook could have influenced the outcome of the US presidential election is worrying (Opinion, 15 November), but, in reality, this is only tinkering around the edges of a major problem. The first amendment of the US constitution was designed to protect freedom of the press. However, for the most part, the supreme court has failed to use it to rule on libel cases: hence tabloids such as the National Enquirer can get away with printing pretty much anything they like. It is possible to police the publishing and broadcasting industry – if nations are willing to do it. Sufficient staff (not robots) need to be employed to fact-check before publishing or broadcasting.

SALT LAKE CITY, UT--(Marketwired - Nov 14, 2016) - SC16 -- To help companies join the AI revolution, NVIDIA today announced a collaboration with Microsoft to accelerate AI in the enterprise. Using the first purpose-built enterprise AI framework optimized to run on NVIDIA Tesla GPUs in Microsoft Azure or on-premises, enterprises now have an AI platform that spans from their data center to Microsoft's cloud. "Every industry has awoken to the potential of AI," said Jen-Hsun Huang, founder and chief executive officer, NVIDIA. "We've worked with Microsoft to create a lightning-fast AI platform that is available from on-premises with our DGX-1 supercomputer to the Microsoft Azure cloud. With Microsoft's global reach, every company around the world can now tap the power of AI to transform their business."

SANTA CLARA, CA--(Marketwired - Nov 14, 2016) - NVIDIA (NASDAQ: NVDA) today announced that it is teaming up with the National Cancer Institute, the U.S. Department of Energy (DOE) and several national laboratories on an initiative to accelerate cancer research. The initiative -- known as the Cancer Moonshot, announced by President Barack Obama during his 2016 State of the Union Address, and led by Vice President Joseph Biden -- aims to deliver a decade of advances in cancer prevention, diagnosis and treatment in just five years. The research efforts include a focus on building an AI framework called CANDLE (Cancer Distributed Learning Environment), which will provide a common discovery platform that brings the power of AI to the fight against cancer. CANDLE will be the first AI framework designed to change the way we understand cancer, providing data scientists around the world with a powerful tool against this disease. Teams collaborating on CANDLE include researchers at the National Cancer Institute (NCI), Frederick National Laboratory for Cancer Research and DOE, as well as at Argonne, Oak Ridge, Livermore and Los Alamos National Laboratories.