Sunlight, the U.K.-based specialist in virtualizing data-intensive applications, announced Nvidia GPU support for its “lightweight” hypervisor designed to boost the performance of edge AI deployments. GPU support for its NexVisor platform would…
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Among IT executives, leaders, experts and supporters in the field of AI, the opinions and insights vary widely. In this AI 2021 predictions roundup for EnterpriseAI readers, we have gathered the thoughts and comments from a sampling of our experts who shared their thoughts with us on the AI marketplace and coming innovations over the next year. Their conversations are intriguing.
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Upstart AI vendor Run:AI dove into AI by creating Kubernetes-based software to help customers get more production out of their existing AI infrastructure investments. Run:AI’s software is an orchestration and virtualization layer that pools together compute resources so they can be instantly allocated on demand as needed.
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The United States is maintaining its early lead over China and the European Union in development and application of artificial intelligence technology, according to a new report from the Information Technology and Innovation Foundation (ITIF). But while the Americans’ lead is still substantial today, China is poised to close the gap, while the EU is largely failing to keep up, the report found.
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Nvidia today launched a certified systems program in which participating vendors can offer Nvidia-certified servers with up to eight A100 GPUs. Separate support contracts directly from Nvidia for the certified systems are also available. Besides the obvious marketing motives, Nvidia says the pre-tested systems and contract support should boost confidence and ease deployment for those taking the AI plunge. Nvidia-certified systems would be able to run Nvidia’s NGC catalog of AI workflows and tools.
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Google’s AI ethics mess continues to spread, with reports this week that the company is investigating a second AI ethicist for scanning company files in search of examples of discriminatory treatment of ousted Google researcher Timnit Gebru.
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To drive American leadership in the field of AI into the future, the National Artificial Intelligence Initiative Office has been launched by the White House Office of Science and Technology Policy (OSTP). The new agency was established under the American Artificial Intelligence Initiative Act of 2020, which was enacted and codified into law to expand many existing AI policies and initiatives throughout the federal government.
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AI technologies are already in place in many retail stores and other industries, but a July 2020 study by chipmaker Intel Corp. found that 84% of the respondents — made up of 234 senior decision-makers inside U.S. healthcare organizations — have already deployed or expect to deploy AI within their healthcare operations. That’s up from a previous Intel study in 2018, when a little more than one-third of the respondents said they were using or planning to implement AI.
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AI adoption inside U.S. companies is soaring, with a recent PwC study concluding that 86 percent of 1,032 IT respondents believe that AI will be a mainstream technology for their companies in 2021. The problem, though, is that under closer inspection, some AI is nothing more than marketing hype once you look under the hood. For CIOs looking to integrate AI, what they need is a way to evaluate if an AI product or service is actually harnessing the power of AI– or if it’s a mirage.
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Nvidia is making it easier for AWS cloud customers to find and integrate Nvidia software applications into their AI and deep learning projects through an all-new, all-in-one “storefront” in the AWS Marketplace.
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Finding ways to bring AI more deeply into the business worlds of fintech, technology and academia is the mission of the new National Council for Artificial Intelligence (NCAI).
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It is widely known that there is a lot of “random noise” in AI conference paper acceptances. For example, an experiment was done at the conference NIPS several years ago showing that paper acceptances were much closer to random chance than initially expected.
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