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.

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

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

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

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

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

OpenAI co-founder Andrej Karpathy, who popularised the term “vibe coding,” says he has never felt more behind as a programmer ...

Explore how the technology landscape in 2026 will evolve with Agentic AI, cloud strategies, data governance, and resilient ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

AI guys love talking about “vibes.” There’s “vibe coding,” a term coined by OpenAI co-founder Andrej Karpathy to describe ...