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

On September 15, People's Financial News reported that according to the Qichacha APP, the patent for "A Quantization Training Method, Device, and Equipment for a Neural Network Model" by Cambricon's ...

On September 15, People's Financial News reported that according to the Qichacha app, recently, Cambricon's wholly-owned subsidiary, Anhui Cambricon Information Technology Co., Ltd., was granted a ...

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

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

Godfather of AI Geoffrey Hinton remains a towering figure in artificial intelligence. Learn about his education, his role as ...

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

Hinton is also widely known for raising concerns about AI's dangers-warning that there is about a 10 per cent chance AI could ...

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...