Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

9. The Global Tipping Points Report 2025, released by 160 international scientists, warns thatEarth has reached its first climate tipping point, with rising temperatures threatening coral reefs.

Fake band exposed by hoax spokesman, turning ChatGPT evil, and a vending machine calls the FBI over $2. The weirdest AI Eye ...

Acute respiratory distress syndrome (ARDS) remains a major challenge in critical care, with mortality rates often exceeding 35–40%. Mechanical ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...