AI agents are fast, loose, and out of control, MIT study finds

The majority of agentic AI systems disclose nothing about what safety testing, and many systems have no documented way to shut down a rogue bot, a study by MIT found.
GitHub

Machine Learning Engineering Open Book

This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.
IEEE

Machine Learning for Large-Scale Optimization in 6G Wireless Networks

The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from “connected things” to “connected intelligence”, featured by ultra high density, large-scale, dynamic ...

Shri Balwant Institute of Technology Integrates IIT, Stanford, and MIT Certifications Into Engineering Curriculum

In 2026, the Shri Balwant Institute of Technology (SBIT) in Sonepat, Haryana, has emerged as a leader in industrial-academic synergy. By pivoting from traditional faculty-led advice to a Global ...
IEEE

In-Network Machine Learning Using Programmable Network Devices: A Survey

Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...
MIT Technology Review

Moltbook was peak AI theater

The viral social network for bots reveals more about our own current mania for AI as it does about the future of agents. For a few days this week the hottest new hangout on the internet was a ...