Forgetting feels like a failure of attention, but physics treats it as a fundamental process with a measurable price. At the ...

Every online bank transfer, private message and Bitcoin transaction rests on the assumption that some math problems are ...

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

How do caterpillars keep memories after dissolving into soup? How do we transform without fragmenting? A new AI architecture ...

Consciousness may emerge not from code, but from the way living brains physically compute.

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...

Nearly all practicing physicians in the U.S. obtained their post-graduate training positions through "the match." Prior to the 1950s, internship and residency matching were done by ad hoc individual ...

Researchers from MIT CSAIL and Purdue University have proposed a new automated framework for privatizing black-box machine learning algorithms using PAC Privacy, a ...

Researchers devised a way to maintain an AI model's accuracy while ensuring attackers can't extract sensitive information used to train it. The approach is computationally efficient, reducing a ...

Keeping sensitive data safe in artificial intelligence (AI) systems is a big challenge. While there are ways to protect personal information—like home addresses or medical records—these privacy tools ...