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.
Khaleej Times

MIT student Neil Warty launches Atlantis Aqua, an AI and blockchain-powered platform for global aquaculture

New AquaOS platform uses real-time monitoring and intelligent automation to improve fish health, reduce losses, and optimise farm operations ...
IEEE

A Review on Quantum Machine Learning in Applied Systems and Engineering

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
GitHub

Reinforcement Learning driven simulation of vacancy diffusion

The package works in Linux systems. The versions of dependent packages the software has been tested on are listed below: python==3.10.13 numpy=1.26.4 scipy==1.15.3 matplotlib==3.8.2 torch==2.2.0 torch ...
GitHub

Awesome Safety-Critical AI

👋 Welcome to Awesome Safety-Critical AI - a curated space for practitioners, researchers and engineers committed to building intelligent systems that are as reliable as they are capable. Inspired by ...