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.

This was supposed to be the year when autonomous agents took over everyday tasks. The tech industry overpromised and ...

As medical weight loss continues to evolve in 2026, the landscape of GLP-1 therapies has reached a pivotal moment with ...

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 ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

And, as we changed this means of interaction rather quickly, one way we did it has to do with games. Game engines are now AI ...

A new study suggests AI models like ChatGPT and Claude consistently overestimate how rational humans really are, leading them ...

In a major departure from past practice, the CDC is scaling back the number of recommended vaccines for children. The new ...

Introduction Education reforms are among the most consequential policy decisions a nation can undertake. They shape not only ...

The Centers for Medicare & Medicaid Services Dec. 23 introduced a new drug pricing model, BALANCE, for Medicare Part D and ...