The underlying principles of large models (such as hundreds of billions of parameters and the Transformer architecture) are indeed complex, but for product managers, large models resemble an "unknown ...

BOSTON, MA / ACCESS Newswire / September 15, 2025 / Shuochen Bi, a researcher specializing in artificial intelligence (AI), ...

Chinese researchers have developed SpikingBrain 1.0, a new "brain-like" AI that is 100 times faster than conventional models.

The Institute of Automation, Chinese Academy of Sciences stated, "Currently, large models based on the Transformer ...

As the electrical testing industry faces mounting pressure from aging infrastructure and rising reliability demands, a new ...

Transformers are vital to the grid and when they fail, the consequences can be massive. Nathan Jacob of Camlin Energy explains how monitoring technology detects problems before breakdown occurs.

Our AI honorees include people who steer model development at Silicon Valley’s biggest tech firms and academic researchers ...

United States scientists have combined spatial and temporal attention mechanisms to develop a new approach for PV inverter ...

With effective weather forecasting, testing with “hail cannons,” and an ability to shift into “stow” mode, panels can ...

This study illustrates a valuable application of BID-seq to bacterial RNA, allowing transcriptome-wide mapping of pseudouridine modifications across various bacterial species. The evidence presented ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

Ravi Shankar Garapati’s research offers a thoughtful, technically rigorous framework for addressing these challenges through ...