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‘He plays harder than anyone I’ve ever seen’: Nurse on Lowry
Toronto Raptors coach Nick Nurse discusses the impact of Kyle Lowry on the Raptors franchise and how the season could have gone if the team stayed healthy.
Toronto Raptors coach Nick Nurse discusses the impact of Kyle Lowry on the Raptors franchise and how the season could have gone if the team stayed healthy.
Nvidia Corp on Monday said it plans to make a server processor chip based on technology from the United Kingdom's Arm Ltd, putting it in the most direct competition yet with rival Intel Corp and adding a layer of complexity to the antitrust review of Nvidia's $40 billion deal to buy Arm. Intel is the world's biggest maker of central processors for data center servers but has increasingly seen competition from Arm-based chips. With its "Grace" server processor, Nvidia will be the largest chip company so far to challenge Intel in its key market.
Just like Apple did with its M1 chip, NVIDIA is taking on Intel directly with its own Arm-based CPU.
The "Metamaterial Market by Material Type (Electromagnetic, Terahertz, Photonic, Tunable, FSS, and others), Application (Communication Antenna, Windscreen, Solar Panel, sensors, Display, and Medical Imaging), Vertical and Geography - Global Forecast to 2026" report has been added to ResearchAndMarkets.com's offering.
The fact that diversity isn't a solution to hate isn't limited to police abuse cases. It extends to all hate crimes as tracked by the FBI.
Apple and Google's rules state that no location data from app users can be shared.
When Angie González vanished from the small town of Barranquitas earlier this year, her mother began imagining Puerto Rico’s steep, verdant mountains.
"That really messed me up."
NVIDIA Grace GPU NVIDIA Grace is the company's first data center CPU, an Arm-based processor that will deliver 10x the performance of today’s fastest servers on the most complex AI and high performance computing workloads. ‘Grace’ CPU delivers 10x performance leap for systems training giant AI models, using energy-efficient Arm coresSwiss Supercomputing Center and US Department of Energy’s Los Alamos National Laboratory First to Build NVIDIA CPU-Powered Supercomputers SANTA CLARA, Calif., April 12, 2021 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced its first data center CPU, an Arm-based processor that will deliver 10x the performance of today’s fastest servers on the most complex AI and high performance computing workloads. The result of more than 10,000 engineering years of work, the NVIDIA Grace™ CPU is designed to address the computing requirements for the world’s most advanced applications — including natural language processing, recommender systems and AI supercomputing — that analyze enormous datasets requiring both ultra-fast compute performance and massive memory. It combines energy-efficient Arm CPU cores with an innovative low-power memory subsystem to deliver high performance with great efficiency. “Leading-edge AI and data science are pushing today’s computer architecture beyond its limits – processing unthinkable amounts of data,” said Jensen Huang, founder and CEO of NVIDIA. “Using licensed Arm IP, NVIDIA has designed Grace as a CPU specifically for giant-scale AI and HPC. Coupled with the GPU and DPU, Grace gives us the third foundational technology for computing, and the ability to re-architect the data center to advance AI. NVIDIA is now a three-chip company.” Grace is a highly specialized processor targeting workloads such as training next-generation NLP models that have more than 1 trillion parameters. When tightly coupled with NVIDIA GPUs, a Grace CPU-based system will deliver 10x faster performance than today’s state-of-the-art NVIDIA DGX™-based systems, which run on x86 CPUs. While the vast majority of data centers are expected to be served by existing CPUs, Grace — named for Grace Hopper, the U.S. computer-programming pioneer — will serve a niche segment of computing. The Swiss National Supercomputing Centre (CSCS) and the U.S. Department of Energy’s Los Alamos National Laboratory are the first to announce plans to build Grace-powered supercomputers in support of national scientific research efforts. NVIDIA is introducing Grace as the volume of data and size of AI models are growing exponentially. Today’s largest AI models include billions of parameters and are doubling every two-and-a-half months. Training them requires a new CPU that can be tightly coupled with a GPU to eliminate system bottlenecks. NVIDIA built Grace by leveraging the incredible flexibility of Arm’s data center architecture. By introducing a new server-class CPU, NVIDIA is advancing the goal of technology diversity in AI and HPC communities, where choice is key to delivering the innovation needed to solve the world’s most pressing problems. “As the world’s most widely licensed processor architecture, Arm drives innovation in incredible new ways every day,” said Arm CEO Simon Segars. “NVIDIA’s introduction of the Grace data center CPU illustrates clearly how Arm’s licensing model enables an important invention, one that will further support the incredible work of AI researchers and scientists everywhere.” Grace’s First Adopters Push Limits of Science and AICSCS and Los Alamos National Laboratory both plan to bring Grace-powered supercomputers, built by Hewlett Packard Enterprise, online in 2023. ”NVIDIA’s novel Grace CPU allows us to converge AI technologies and classic supercomputing for solving some of the hardest problems in computational science,” said CSCS Director Prof. Thomas Schulthess. “We are excited to make the new NVIDIA CPU available for our users in Switzerland and globally for processing and analyzing massive and complex scientific datasets.” “With an innovative balance of memory bandwidth and capacity, this next-generation system will shape our institution’s computing strategy,” said Thom Mason, director of the Los Alamos National Laboratory. “Thanks to NVIDIA’s new Grace CPU, we’ll be able to deliver advanced scientific research using high-fidelity 3D simulations and analytics with datasets that are larger than previously possible.” Delivering Breakthrough Performance Underlying Grace’s performance is fourth-generation NVIDIA NVLink® interconnect technology, which provides a record 900 GB/s connection between Grace and NVIDIA GPUs to enable 30x higher aggregate bandwidth compared to today’s leading servers. Grace will also utilize an innovative LPDDR5x memory subsystem that will deliver twice the bandwidth and 10x better energy efficiency compared with DDR4 memory. In addition, the new architecture provides unified cache coherence with a single memory address space, combining system and HBM GPU memory to simplify programmability. Grace will be supported by the NVIDIA HPC software development kit and the full suite of CUDA® and CUDA-X™ libraries, which accelerate more than 2,000 GPU applications, speeding discoveries for scientists and researchers working on the world’s most important challenges. Availability is expected in the beginning of 2023. Learn more at GTC21, taking place online April 12-16 — registration is free. About NVIDIANVIDIA’s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market and has redefined modern computer graphics, high performance computing and artificial intelligence. The company’s pioneering work in accelerated computing and AI is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others. More information at https://nvidianews.nvidia.com/. For further information, contact:Kristin Bryson Senior Director, Enterprise CommunicationsNVIDIA Corporation+1-203-241-9190kbryson@nvidia.com Certain statements in this press release including, but not limited to, statements as to: the features, performance, benefits, impact and availability of the Grace CPU; CSCS’s and Los Alamos National Laboratory’s plans to build Grace-powered supercomputers and bring them online by 2023; the growth of AI models; data centers being served by CPUs; Grace serving a niche segment of computing; leading-edge AI and data science pushing today’s computer architecture beyond its limits — processing unthinkable amounts of data; the training of AI models requiring a new CPU; NVIDIA advancing the goal of technology diversity in AI and HPC communities; the flexibility of Arm’s open architecture driving innovation; and Arm enabling invention and supporting the work of AI researchers and scientists 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 most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. © 2021 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA, CUDA-X AI, DGX, NVIDIA Grace, and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/b3cfff26-6195-4f21-a7cc-55f7f16af7a6
Collaboration Enables Pharma Industry Giants, Biotech Startups to Use Schrödinger’s Computational Drug Discovery Platform Boosted by NVIDIA DGX SuperPOD and NVIDIA Clara Discovery Libraries NVIDIA Partners with Schrödinger on Drug Discovery NVIDIA is partnering with Schrödinger to harness NVIDIA DGX A100 systems to further expand the speed and accuracy of Schrödinger’s computational drug discovery platform and enable rapid, accurate evaluation of billions of molecules for potential development of therapeutics. SANTA CLARA, Calif., April 12, 2021 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced a strategic partnership with Schrödinger that harnesses NVIDIA DGX A100™ systems to further expand the speed and accuracy of Schrödinger’s computational drug discovery platform and enable rapid, accurate evaluation of billions of molecules for potential development of therapeutics. The companies will optimize Schrödinger’s software platform — designed to model and predict the properties of novel molecules — for the NVIDIA DGX SuperPOD™, which is built with NVIDIA DGX A100 systems and NVIDIA InfiniBand HDR networking. The work includes the physics-based modeling in Schrödinger’s product suite, as well as support for NVIDIA Clara™ Discovery, a collection of state-of-the-art AI frameworks, applications and pre-trained models for the most advanced computational drug discovery. Additionally, the companies will partner on scientific and research breakthroughs to further advance physics-based computing and machine learning for drug discovery. For each potential drug candidate, Schrödinger routinely evaluates tens of thousands of molecules with its most computationally intensive physics-based approaches. This requires hundreds of thousands of hours of GPU time on high-performance computers. Through the collaboration, the entire pharmaceutical industry comprising over 3,000 companies — from startups to multinationals — will be able to further accelerate drug discovery at supercomputing scale. The joint solution will enable companies of all sizes to simulate molecular combinations with physics and AI to identify and optimize the most promising compounds for potential therapeutic use. Pharmaceutical companies can run this research on their own easy-to-deploy private clouds featuring the Schrödinger platform running on NVIDIA DGX SuperPOD, which is available to install on premises or in a colocation facility. “The predictive modeling built into our platform is designed to dramatically expand and accelerate the search for high-quality therapeutic molecules, and NVIDIA is a key technology partner in this work,” said Patrick Lorton, chief technology officer at Schrödinger. “Our advanced computational software helps the world’s biggest pharma companies explore more of the chemical space and reach high-quality candidates more quickly, with far less compute cost, than traditional methods. We’re proud to be working with NVIDIA to make that process run even more smoothly.” NVIDIA research and engineering teams are working to advance and optimize the Schrödinger suite to take advantage of the NVIDIA Ampere architecture and its Multi-Instance GPU technology. Customers will be able to easily deploy Schrödinger software on a single DGX system or a cluster of 20 or more to create a DGX SuperPOD. This allows scaling the Schrödinger platform to dozens of drug programs and screening and evaluating billions of molecules a week. “Computational drug discovery is improving accuracy with Schrödinger’s advanced combination of simulation with machine learning,” said Kimberly Powell, vice president of healthcare at NVIDIA. “Together, we’re giving the pharmaceutical industry a scientific instrument that delivers super-high-throughput lead generation to improve and accelerate the success of drug candidates.” About NVIDIANVIDIA‘s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market and has redefined modern computer graphics, high performance computing and artificial intelligence. The company’s pioneering work in accelerated computing and AI is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others. More information at https://nvidianews.nvidia.com/. For further information, contact:Janette CiborowskiNVIDIA Corporation+1-734-330-8817jciborowski@nvidia.com Certain statements in this press release including, but not limited to, statements as to: the benefits and impact of NVIDIA and Schrödinger partnering and what it will enable; the companies optimizing Schrödinger’s software platform; the benefits, impact and performance of our products and technologies; the companies advancing physics-based computing and machine learning for drug discovery; the work that goes into evaluating drug candidates; the collaboration enabling the pharmaceutical industry to accelerate drug discovery at scale and how they can use this technology; the availability of the Schrödinger platform; the benefits of predictive modeling built into the Schrödinger platform; Schrödinger’s software helping the biggest companies; how NVIDIA is contributing to Schrödinger’s work and advancing its suite of products; how customers can deploy Schrödinger software and what it allows; and how computational drug discovery is improving 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 most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.© 2021 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX A100, NVIDIA Clara and NVIDIA DGX SuperPOD are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/93c4dd86-d822-42cd-85be-0d9355a4d051
Press Secretary Jen Psaki conducts a briefing at the White House.
Kroll Bond Rating Agency (KBRA) is pleased to announce the assignment of preliminary ratings to 18 classes of Benchmark 2021-B25, a $1.2 billion CMBS conduit transaction collateralized by 47 commercial mortgage loans secured by 76 properties.
NEW YORK, April 12, 2021 (GLOBE NEWSWIRE) -- Lowey Dannenberg P.C., a preeminent law firm in obtaining redress for consumers and investors, is investigating claims of violations of federal securities laws on behalf of investors of Danimer Scientific (“DNMR” or the “Company”) (NYSE: DNMR). If you are a shareholder of Danimer with more than $300,000 in losses, you should contact the Firm. On March 20, 2021, The Wall Street Journal published an article entitled "Plastic Straws That Quickly Biodegrade in the Ocean, Not Quite, Scientists Say" concerning, among other things, Danimer's claims that Nodax - a plant-based plastic that Danimer markets - breaks down far more quickly than fossil-fuel plastics. The Wall Street Journal article alleges that according to several experts on biodegradable plastics, "many claims about Nodax are exaggerated and misleading." Danimer reportedly says its claims are factual, but at least one expert is cited as stating that making broad claims about Nodax's biodegradability "is not accurate" and is "greenwashing." On March 22, 2021, the first trading day following the publication of The Wall Street Journal article concerning potentially inflated claims about Nodax, Danimer's shares fell $6.43 per share, about 13%, to close at $43.55 per share. If you are a shareholder of Danimer, and wish to participate, learn more, or discuss the issues surrounding the investigation, please contact our attorneys at (914) 733-7256 or via email at investigations@lowey.com. Whistleblowers: Persons with non-public information regarding Danimer should consider their options to help in the investigation or take advantage of the SEC Whistleblower program. Under the new program, whistleblowers who provide original information may receive rewards totaling up to 30 percent of any successful recovery made by the SEC. About Lowey Dannenberg Lowey Dannenberg is a national firm representing institutional and individual investors, who suffered financial losses resulting from corporate fraud and malfeasance in violation of federal securities and antitrust laws. The firm has significant experience in prosecuting multi-million-dollar lawsuits and has previously recovered billions of dollars on behalf of investors. Contact Lowey Dannenberg P.C.44 South Broadway, Suite 1100 White Plains, NY 10601Tel: (914) 733-7256Email: investigations@lowey.com
The S&P 500 and the Dow Jones indexes retreated from record levels on Monday, as investors geared up for the start of the corporate reporting season and a key inflation report later this week. A pullback in the benchmark 10-year bond yield from 14-month highs in April eased worries about higher borrowing costs, helping richly valued technology stocks gain ground and drive the S&P 500 and the Dow to record levels.
On 8 April, the poll panel had issued a notice over Banerjee's 3 April speech at Hooghly, when she had allegedly 'appealed to minorities not to split their votes among different political parties'
Italy reported 358 coronavirus-related deaths on Monday against 331 the day before, the health ministry said, while the daily tally of new infections fell to 9,789 from 15,746. Italy has registered 114,612 deaths linked to COVID-19 since its outbreak emerged in February last year, the second-highest toll in Europe after Britain and the seventh-highest in the world. The total number of intensive care patients slightly rose to 3,593 from a previous 3,585.
The confrontation over voting rights between business leaders and political officials is far from over, after Delta (DAL) and Coca-Cola (KO) condemned a controversial Georgia voting law last week amid intense public pressure.
Intermap Technologies (TSX: IMP) (OTCQX: ITMSF) ("Intermap" or the "Company"), a global leader in geospatial intelligence solutions, today announced that Patrick A. Blott, Intermap Chairman and CEO, will present live at VirtualInvestorConferences.com on April 15, 2021.
The "Ultracapacitors - Global Market Trajectory & Analytics" report has been added to ResearchAndMarkets.com's offering.
Provides an overview of Vietnam, including key events and facts about this east Asian country
Police believe Steven Clark came to harm 29 years ago, although they have never found a body.