NASA’s Perseverance Rover Lands on Mars: Here’s How It Is Using AI

Mars Perseverance

After its ambitious Feb. 18 landing on Mars, NASA’s Perseverance Mars rover is already getting critical help from the multiple onboard AI systems that are designed to guide its two-year exploratory mission on the red planet.
Perseverance successfully completed its 293-million-mile voyage from Earth to Mars and landed safely on the Martian surface at 3:55 p.m. EST Thursday.

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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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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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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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U.S. leads world in AI, but here comes China

USA China Race

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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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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Honey I shrunk the Model: Why big Machine Learning models must go small

Bigger is not always better for machine learning. Yet, deep learning models and the datasets on which they’re trained keep expanding, as researchers race to outdo one another while chasing state-of-the-art benchmarks. However groundbreaking they are, the consequences of bigger models are severe for both budgets and the environment alike.

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