A team of engineers at Rice University and Kyung Hee University has developed a soft, shape-shifting mechanical surface that ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
That bottleneck has made one thing clear. Smarter machine learning is useful only if it can learn faster, too. At Chalmers University of Technology in Sweden, researchers say they found a way to do ...
Semantic Information,Semantic Communication,Semantic Features,Communication Systems,Additive Noise,Peak Signal-to-noise Ratio,Edge Server,Internet Of Things,Channel ...
Channel Estimation,Additive Noise,Cell-free System,Low-latency Communications,Optimization Problem,Minimum Mean Square Error,User Equipment,Simulation Results,Signal-to-interference-plus-noise ...
A deep-learning framework reveals whole-body perturbations at cell level An analysis of diet-induced obesity using MouseMapper—a suite of foundation-model-based deep-learning algorithms—identifies ...
Numerical optimization is an important tool in the field of computational physics in general and in nano-optics in specific. It has attracted attention with the increase in complexity of structures ...
Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results