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MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...
David Cutler is in the spotlight for his work on a tasty-sounding mathematics problem. In January, the New York Times featured a research paper authored by Cutler and Neil Sloane, the founder of The ...
GPT 5.4 Pro offers several other innovations. Open AI claimed that it was the first version that can do things on computers, ...
Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...
For decades, the solution to harder problems has been ‘build a bigger computer’— but what if this is the wrong strategy altogether? This is because some problems defeat computers, not because they are ...
Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...
CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.
Middle East peace, climate change, Ukraine — if Sisyphus were assigned one of today’s global problems, he’d plead to be returned to rock rolling. So let’s focus for a moment on a global challenge that ...
Google’s AI R&D lab DeepMind says it has developed a new AI system to tackle problems with “machine-gradable” solutions. In experiments, the system, called AlphaEvolve, could help optimize some of the ...
Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...