Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

Automated image colorization might be the most dramatic AI enhancement feature in visual effects. It predicts the original colors that should be present based on black-and-white images, resulting in ...

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

Researchers at Ruhr University Bochum developed a quartet-based deep learning method that embeds phylogenetic tree structures into neural networks. Tested on bacterial 16S rRNA data, it enables AI to ...

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.

A whole-body control foundation model could help launch humanoid robots toward general-purpose capability, says Agility ...

These five artificial intelligence stocks cover every angle of AI -- from chips and the cloud to quantum breakthroughs and ...

Nanyang Biologics says its AI platform can scan millions of compounds in minutes, which could help fast-track therapies, ...

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

Against that backdrop, the stock's rebound has reopened the debate: Without LIDAR (Light Detection and Ranging), a sensor ...

Comau presented its vision on the strategic use of Artificial Intelligence (AI) in the manufacturing sector at ETFA 2025.