Technology is advancing at an unprecedented rate, and terms like “machine learning”, “deep learning”, and “neural networks” ...

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

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the ...

Children’s eyes may hold the secret to how they learn from videos, and new research suggests artificial intelligence could ...

Lingua Marina discusses the possibility of language learning becoming obsolete due to the rise of AI neural networks that can ...

For every motor skill you've ever learned, whether it's walking or watchmaking, there is a small ensemble of neurons in your ...

From neural networks in a classroom to scaling personalization, demand forecasting, and anomaly detection, BigBasket’s Head of Engineering is steering AI adoption to ensure seamless operations.

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

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...

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

Deep learning can both strengthen the building blocks of future networks and uncover hidden risks in widely used applications ...