An intensive programme on reinforcement learning, brought together 60 international participants including students, ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Apple continues to explore how generative AI can improve app development pipelines. Here's what they're looking at.

A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

Many small businesses use AI tools every day, but how do they actually work? And where does all that “knowledge” come from?imageAI models may seem incredibly smart, but there’s no magic involved.

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...

The preprint, To Defend Against Cyber Attacks, We Must Teach AI Agents to Hack, released on arXiv, challenges the prevailing ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

How AI and agentic AI are reshaping malware and malicious attacks, driving faster, stealthier, and more targeted ...

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...

The conversational prowess of AI chatbots like ChatGPT, Gemini, and Claude appears to stem from sophisticated algorithms alone, but this apparent autonomy masks a critical dependency: after these AI ...

This article is authored by Nikhil Goel, senior director, engineering, India, embedUR systems.