"For the past 10 years, we have been working on using AI to solve real-world problems," Daisuke Okanohara of Preferred Networks told CNBC's "Managing Asia."

Tesla is pushing the boundaries of automation with its humanoid robot, Optimus, designed to tackle repetitive and physically demanding tasks.

The key to these impressive advancements lies in a range of training techniques that help AI models achieve remarkable performance.

A new study used deep-learning AI to help uncover how the brain's evolution differed over the past 320 million years in different species.

Deep neural networks have hit a wall. An entirely new, backpropagation-free AI stack promises to be orders of magnitude more performant.

The Internet of Medical Things (IoMT) is an interconnected network of medical devices, sensors, and cloud platforms that collect and analyze patient data. By integrating deep learning models, IoMT enhances diagnostic accuracy,

Artificial intelligence is a deep and convoluted world. The scientists who work in this field often rely on jargon and lingo to explain what they’re

Vertical AI is designed to address the unique needs of specific industries using specialized data and tailored algorithms.

Liver cirrhosis is a progressive disease that affects millions worldwide, leading to severe complications such as hepatic decompensation and liver cancer. Despite its significance, early detection remains a major challenge due to the subtle nature of early-stage cirrhosis.

Oral potentially malignant disorders (OPMDs), characterized by a wide variety of types and diverse clinical manifestations, have always been difficult to diagnose and differentiate. All of them carry a risk of malignant transformation.

Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in which machines learn through a reward-based trial-and-error approach that lets them adapt within constrained or dynamic environments.