An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Researchers from Politecnico di Milano and international partners developed an in-situ training method for physical neural ...

As artificial intelligence models become increasingly complex, the demand for greater computational power is outpacing the ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.

The fields of psychology, robotics and machine learning have each been using some version of the concept for decades. You ...

In recent years, there has been a surge of research focused on the application of artificial intelligence (AI) to ...

ThesmallconferenceroomatDartmouthin1956litupthephrase'artificialintelligence.'Nearlyseventyyearslater,we… ...

Qubic attempted a 51% attack on Monero while training its AI model AIGarth. It's now posting on social media—and the public ...

Ltd. applied for a patent titled "A Method, Device, System, and Medium for Cascading Knowledge Amplification of Artificial Neural Networks" in May 2025, with the publication number CN120562486A. This ...