Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
This work presents an interactive graphics computational tool for the verification of prestressed concrete beams with post-tensioned bonded tendons to the serviceability limit state (SLS) stress check ...
Hardware You can buy a Chinese made programmable humanoid-robot for under $6,000 USD, but it might be the same one that tried to fight civilians Hardware If you were ever worried about a machine ...
SAN JOSE, Calif.--(BUSINESS WIRE)--Cadence (Nasdaq: CDNS) today announced it has entered into a definitive agreement to acquire the Design & Engineering (“D&E”) business of Hexagon AB, which includes ...
The U.S. dollar’s dominance as the world’s reserve currency faces its most organized challenge yet from the BRICS nations, but fundamental structural barriers make displacement unlikely in the ...
National Key Laboratory for Tea Plant Germplasm Innovation and Resource Utilization, Shool of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China ...
Abstract: We propose a decentralized, learning-based framework for dynamic coalition formation in Multi-Robot Task Allocation (MRTA). Our approach extends MAPPO by integrating spatial action maps, ...
Abstract: Achieving desired formation patterns without collisions is rather challenging for multi-robot systems in unknown obstacle-rich and confined environments, especially in narrow corridor scenes ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback