Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word. New research suggests that this habit may also help machines learn more like you ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

Physical AI marks a transition from robots as programmed tools to robots as adaptable collaborators. That transition will ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows ...

Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, ...

Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, ...

Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.