The application of neural network models to semiconductor device simulation has emerged as a transformative approach in the field of electronics. These models offer significant speed improvements over ...
A new AI model accurately predicts gas adsorption in metalorganic frameworks and explains its results, offering faster, ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of chemistry, life science, and AI researchers are using graph ...
Traditional experimental methods for evaluating gas adsorption performance of metal–organic frameworks (MOFs) are costly and time-consuming, while ...
BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
Expect to hear increasing buzz around graph neural network use cases among hyperscalers in the coming year. Behind the scenes, these are already replacing existing recommendation systems and traveling ...
ABSTRACT The effect of the synoptic-scale atmospheric circulation on the urban heat island phenomenon over Athens, Greece, was investigated and quantified for a period of 2 yr, employing a neural ...
The artificial intelligence models inside machines such as industrial robots require the ability to interact safely and efficiently with their environment. But training an AI in a real-world setting, ...
TAMPA, FLORIDA, UNITED STATES, February 7, 2024 /EINPresswire.com/ -- The Tampa Bay company, Equitus AI announces the launch of KGNN (pronounced ‘Kajun’), the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback