Discover how machine learning, a vital aspect of artificial intelligence, learns from data to enhance decision-making and ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Aran Nayebi jokes that his robot vacuum has a bigger brain than his two cats. But while the vacuum can only follow a preset ...

The competition for AI experts between OpenAI and Meta has reached a fever pitch, with both companies aggressively trying to ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Exploring How Generative AI, Edge AI, and Quantum Machine Learning Are Revolutionizing Healthcare, Finance, Logistics, and Media With Real World Solutions and Expert Insights”Boston, Jan. 12, 2026 ...

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.