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Microsoft makes major quantum computing breakthrough — development of most stable qubits might actually make the technology viable for many, but will anyone be able to afford it? - Vimarsana News

Microsoft makes major quantum computing breakthrough — development of most stable qubits might actually make the technology viable for many, but will anyone be able to afford it?

Microsoft and Quantinuum say they've achieved Level 2 Resilience

Microsoft and 1910 Genetics Partner to Build the Infrastructure Layer for Drug Discovery and Development Using AI and High-Performance Computing - Vimarsana News

Microsoft and 1910 Genetics Partner to Build the Infrastructure Layer for Drug Discovery and Development Using AI and High-Performance Computing

BOSTON--(BUSINESS WIRE)--Feb 29, 2024--

Microsoft Uses AI And HPC To Analyze 32 Million New Materials - Vimarsana News

Microsoft Uses AI And HPC To Analyze 32 Million New Materials

Microsoft's partnership with the Pacific Northwest National Laboratory is part of an ambitious project to compress 250 years of chemistry research into the next 25 years.

Source: forbes.com
New battery material that uses less lithium found in AI-powered search - Vimarsana News

New battery material that uses less lithium found in AI-powered search

Microsoft announced Tuesday that a team of scientists used artificial intelligence and high-performance computing to plow through 32.6 million possible battery materials ― many not found in nature ― in 80 hours, a task the team estimates previously would have taken 20 years. The results kick off an ambitious effort to create a new generation of batteries less dependent on toxic and environmentally damaging lithium. The company shared some of the best candidates with the government's Pacific Nort

Source: yahoo.com
AI enables Microsoft and PNNL to discover new battery material - Vimarsana News

AI enables Microsoft and PNNL to discover new battery material

Microsoft and the US Department of Energy’s Pacific Northwest National used advanced AI and HPC to identify a new material for batteries in less than four days.