The same personalized algorithms that deliver online content based on your previous choices on social media sites like ...

The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

By the end of IIT Delhi programme, learners develop a comprehensive understanding of quantum optimisation techniques and gain ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

Study finds personalized algorithms can skew users' understanding and increase confidence in incorrect information.

Researchers have developed a new algorithm that combines two processes for personalizing robotic prosthetic devices to both ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...