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.

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...

Anthropic launched learning modes in Claude chatbot and Claude Code. Instead of creating answers, they use the Socratic approach to guide you. You can select 'Learning' from the style dropdown to ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

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What if artificial intelligence could not only learn but also rewrite its own code to become smarter over time? This is no longer a futuristic fantasy—MIT’s new “self-adapting language models” (SEAL) ...

If you would like to take your AI skills to the next level or perhaps start learning how to use the AI tools more effectively. You might be interested in this fantastic roadmap created by Dr Alex ...

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