SAN JOSE, CA--(Marketwired - Apr 5, 2016) - GPU Technology Conference -- NVIDIA (NASDAQ: NVDA) today announced that it is a founding technology partner of the MGH Clinical Data Science Center, which aims to advance healthcare by applying the latest artificial intelligence techniques to improve the detection, diagnosis, treatment and management of diseases. Massachusetts General Hospital -- which conducts the largest hospital-based research program in the United States, and is the top-ranked hospital on this year's US News and World Report "Best Hospitals" list -- recently established the MGH Clinical Data Science Center in Boston. The center will train a deep neural network using Mass General's vast stores of phenotypic, genetics and imaging data. The hospital has a database containing some 10 billion medical images. To process this massive amount of data, the center will deploy the NVIDIA DGX-1 -- a server designed for AI applications, launched earlier today at the GPU Technology Conference -- and deep learning algorithms created by NVIDIA engineers and Mass General data scientists.

Nvidia's fastest GPU yet, the new Tesla P100, will be available in servers next year, the company said. Dell, Hewlett Packard Enterprise, Cray and IBM will start taking orders for servers with the Tesla P100 in the fourth quarter of this year, Nvidia CEO Jen-Hsun Huang said during a keynote at the GPU Technology Conference in San Jose, California. The servers will start shipping in the first quarter of next year, Huang said Tuesday. The GPU will also ship to companies designing hyperscale servers in-house and then to outsourced manufacturing shops. It will be available for in-house "cloud servers" by the end of the year, Huang said.

Nvidia's varied range of GPU developer tools have been spread out into specialized kits, but that's not the case any more. The company has announced the Nvidia SDK unified toolkit, which brings together its game development, supercomputing, virtual reality, automotive and drone and robot development tools into one package. The toolkit brings together essential tools and libraries necessary for GPU development, Jen-Hsun Huang, CEO of Nvidia, said during a keynote at the company's GPU Technology Conference in San Jose, California. The toolkit is tuned for Nvidia's latest Pascal GPU architecture, which the company is expected to detail at the show. Pascal contains many technological improvements that could trigger changes in the way applications are written for GPUs.

Google has announced plans to open its machine-learning software to developers. The multinational tech company is hoping this will attract more companies to its cloud-computing services, which already includes image identification, voice recognition and AI technology. The market for cloud-computing services is a competitive one, with Microsoft, Amazon and IBM offering similar products. While modern cloud systems are based on "decades-old" technology, Google said, the company's forthcoming products and services are designed for the next wave of cloud computing. And Google is already a leader in AI, using the technology to support its web-based services and apps.

Whether we realize it or not, machine learning is already a part of our everyday lives. Think about a simple Google search, a quick query to Apple's Siri, an afternoon visit to Facebook, or, of course, a great product recommendation on Amazon. As the prevalence of high-performance computing continues to grow, the thought of computers doing things we could only dream of is exhilarating and, for many, almost magical. This is especially true when it comes to marketing. Yet, as we apply machine learning to marketing and unique business goals, oftentimes all of that mystery and intrigue turn to disillusion and struggle with the practical applications.

April 1, 2016 – Boston, MA – Cloud-based computing and artificial intelligence represent the future of content creation, distribution, public relations, and marketing. SHIFT Communications, the premiere data-driven PR agency, announced today the release of the Heuristic And Recurrent Ontological Lexicon Deep-learner, or HAROLD, the world's first artificially intelligent (AI), cloud-based PR employee. HAROLD's creation represents the first AI employee of a virtual public relations workforce. HAROLD is based on the proven TensorFlow multidimensional data array artificial intelligence software, first developed by Google Brain, part of Google's Machine Intelligence division. SHIFT Vice President of Marketing Technology Christopher Penn said, "HAROLD provides SHIFT with limitless scale. Your standard PR team has 10-15 humans; with a cloud-based AI employee, we can create a million new'employees' in seconds. It would take your average account team several weeks to pitch a 5,000 person media list. HAROLD can replicate itself and call the whole media list simultaneously."

GTC will showcase the vital role GPU technology plays in some of the industry's biggest trends, including artificial intelligence, virtual reality and self-driving cars. About NVIDIA NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. Certain statements in this press release including, but not limited to, statements as to: the impact of GPU technology in artificial intelligence, virtual reality and self-driving cars are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended October 25, 2015.

GTC will showcase the vital role GPU technology plays in some of the industry's biggest trends, including artificial intelligence, virtual reality and self-driving cars. About NVIDIA NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. Certain statements in this press release including, but not limited to, statements as to: the impact of GPU technology in artificial intelligence, virtual reality and self-driving cars are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended October 25, 2015.

SANTA CLARA, CA--(Marketwired - Mar 31, 2016) - NVIDIA (NASDAQ: NVDA) today announced that the three keynote addresses at its upcoming GPU Technology Conference (GTC) will be webcast live on the NVIDIA blog. GTC will showcase the vital role GPU technology plays in some of the industry's biggest trends, including artificial intelligence, virtual reality and self-driving cars. This year's event will feature more than 500 sessions with speakers from Alibaba, Audi, Baidu, Boeing, Facebook, Google, Microsoft, Oracle, Pixar, Raytheon, Samsung, Siemens, SpaceX and Twitter, among many others. GTC also includes a daylong event, the Emerging Companies Summit, on April 6, focused on GPU-based startups. Nearly 100 startups will participate this year, including an onstage competition among a dozen companies vying for 100,000.

The 6sense patented approach enables, in certain embodiments, the collection of intent and/or static, profile fit data, transformation of unstructured data into structured data, calculation of buyer intent signals, mapping of unknown prospects to known buyers, and the ability to determine where buyers are in their journey (awareness, consideration, decision, purchase). The patent supports what 6sense views as the future of B2B marketing and sales: Omni-channel connectivity, visibility, attribution and the predictions to target the right audience at the right time, when they have demonstrated a need and propensity to purchase. "Among our accomplishments over the last several years, receiving this patent tops the list. After years of hard work and a five-year-long filing process, I hope this patent communicates to our customers, prospects and the wider industry that we truly were the first to market," said Kahlow. "When we started this journey, I knew we were onto something that no one else was thinking about, let alone doing yet. Aside from what this milestone means for 6sense, if it can serve as an inspiration to any woman at a time when women hold only a small fraction of technology patents, I've succeeded beyond my wildest dreams; I know at the core of it all, my purpose in life is to inspire women and girls."