Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

NASHVILLE, Tenn. (AP) — Tyler Tanner scored the first five points of the game and finished with 23 as 11th-ranked Vanderbilt never trailed and routed New Haven 96-53 Monday night. The Commodores came ...

Understanding the differences between probabilistic and deterministic AI will help manufacturers make more informed choices and achieve measurable results. As professionals become interested in using ...

Service intelligence startup Neuron7 Inc. said today it has come up with a solution to solve the reliability challenges that prevent enterprises from adopting artificial intelligence agents. That ...

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and ...

I'm running into an issue in which the output is not deterministic between runs when I ask for structured output instead of plaintext. If I run this script twice, I expect to have the same list of ...

A cycle-accurate alternative to speculation — unifying scalar, vector and matrix compute In dynamic execution, processors speculate about future instructions, dispatch work out of order and roll back ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Prototyping is natural. New smartphone concepts are tested ...

byPhotosynthesis Technology: It's not just for plants! @photosynthesis Cultivating life through Photosynthesis, harnessing sunlight to nourish ecosystems and fuel a sustainable future. Cultivating ...

UChicago Pritzker School of Molecular Engineering postdoctoral researcher Hong Qiao is the first author of a new paper demonstrating deterministic phase control of the mechanical vibrations known as ...

There’s been great interest in what Mira Murati’s Thinking Machines Lab is building with its $2 billion in seed funding and the all-star team of former OpenAI researchers who have joined the lab. In a ...