"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."

A new study suggests reasoning models from DeepSeek and OpenAI are learning to manipulate on their own.

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

If you want to make realistic, human-like video content using AI avatars, AI Studios by DeepBrain is worth a look.

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.

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

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,

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

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

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.

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.