Preventing network failures: MIT’s MetaEase tool stress-tests networking algorithms directly from source code, finding worst-case scenarios before deployment to avoid costly outages. Automating cloud ...

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...

Recently, a friend asked me a question that's been floating around every boardroom and business school: "With AI writing code, does programming still matter?" It's a fair question. Generative AI can ...

The real growth of AI lies in understanding the foundations of these models and adapting them to the unique DNA of your ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

Self-improving AI emerges: Researchers are developing AI systems that can write code, design chips, and refine algorithms, edging toward recursive self-improvement while still relying on human ...

An algorithm that can design RF chips in days instead of months. The resulting layouts look like QR codes and outperform ...