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.

Using Shad CN and an open source helper, the model produced pages and components, helping you decide when to trust it for UI work.

Gemini now builds mini-apps inside chat, ChatGPT auto-prepares meeting briefs from your inbox and Drive, NotebookLM converts ...

The spread of generative AI has become background radiation, pitting players against studios and leaving its role uncertain.

Traditional VR instruction often places students directly into immersive experiences without preparation, resulting in a cognitive “cold start”. To resolve this issue, the first step in the ...

An engineering-focused guide to autonomous vehicle and connected systems, covering architectures, safety concepts, and the ...

Legit at-home jobs are not limited to corporate payrolls or gig apps. Many people now build résumés, portfolios, and ...

Across workplaces and research labs, 2025 delivered a cluster of discoveries that quietly rewired what we think we “know” ...

Overview AI agents are rapidly transforming how businesses automate workflows, manage data, and interact with users. From ...

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

Artificial intelligence (AI), using a simple blood test combined with standard brain images has, for the first time, been ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...