"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.

The field of cancer treatment has long struggled with the immense costs and time-consuming nature of drug development. Traditional methods often take over a decade and billions of dollars to bring a single drug to market,

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

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.

Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks, authored by Shify Treger and Shimon Ullman from the Weizmann Institute of Science,

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

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

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

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.