The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...
In a study published in Journal of the American Chemical Society, a team led by Prof. Song Li from the University of Science ...
When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...
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Abstract: This article deals with one of the types of “Satellite Range Scheduling” problems arising in Earth Observation Satellite operations, Antenna-Satellite Scheduling. Given a set of satellites, ...
The Connecticut Department of Transportation recently said it has two potential plans to replace the “Mixmaster” interchange in Waterbury, an area that has been a source of frustration for decades due ...
Abstract: Two-echelon distribution networks significantly enhance the delivery speed and reduce the distribution cost. Recent years have seen a growing trend in applying the reinforcement learning ...
Stellantis is experimenting with an unusual but practical vehicle design, vans with two cabins joined back-to-back. The Fiat Ducato Back2Back and Citroen Relay Back2Back will be presented at the ...