NASA’s latest Mars Rover, Perseverance, will get help from AI on the Red Planet

Mars rover Perseverance

As NASA’s latest Mars rover, Perseverance, prepares to land on the Martian surface Feb. 18 (Thursday) after a six-month flight to the red planet, the use of AI will quickly become an important part of the rover’s mission once it begins to traverse the landscape. As Perseverance jumps into its goal of searching for traces of microscopic life on Mars that dates back billions of years, the rover will use an AI-powered device…

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Sunlight’s AI Hypervisor gains Nvidia GPU support to boost Edge deployments

Edge Computing

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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Microsoft, HPE Bringing AI, Edge, Cloud to earth Orbit in preparation for Mars missions

Space Station

The International Space Station will soon get a delivery of powerful AI, edge and cloud computing tools from HPE and Microsoft Azure to expand technology experiments aimed at preparing NASA for launching future crewed exploratory missions to Mars. The new equipment and software, including HPE’s specialized, second-generation Spaceborne Computer-2 (SBC-2), will mark the first time that broad AI and edge computing capabilities will be available to researchers on the space station, Tom Keane, Microsoft’s vice president of Azure Global, wrote in a Feb. 11 post on the Azure blog.

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New Open AI Energy initiative launches to expand AI Use in Energy Industry

Energy wave over rooftop

Shell, C3.ai, Microsoft and Baker Hughes are collaborating on an Open AI Energy Initiative (OAI) that aims to grow AI use across the energy and process manufacturing industries. The OAI is envisioned by the partners as an open ecosystem of AI technologies that will provide a framework for energy operators, service providers, equipment providers and the software vendors who serve them to create new AI and physics-based models, monitoring, diagnostics and more to help solve critical industry needs, according to the group.

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How enterprise AI use will grow in 2021: Predictions from our AI experts

Woman in collage

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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AI Virtualization and Orchestration Startup Run: AI Captures $30M in Series B Funding

AI Stack of the Future

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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$400M in C2 funding raised by automotive AI Chip vendor Horizon Robotics

Horizon Robotics, a Chinese automotive AI chip startup that is developing specialized, complex chips for use in autonomous vehicles, has raised another $400 million in its latest C2 round of funding. That’s on top of $150 million in C2 funding that it secured earlier in December, according to the company, bringing its total C2 funding so far to $550 million. Horizon Robotics had announced late in 2020 that it was pursuing a total of $700 million in C2 round funding.

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AI to transform Healthcare of the future in the shadow of COVID-19

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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DeepMind, Google’s AI unit, reports big loss

DeepMind requires deep pockets. Reports surfaced this week that the London-based AI lab acquired in 2014 by Google parent Alphabet for about $600 million lost a staggering $649 million in the last year. The Financial Times and other media outlets also reported Thursday (Dec. 17) that Alphabet (NASDAQ: GOOGL) has written off roughly $1.5 billion in debt associated with loan and interest repayments due from DeepMind.

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