Wevolver | Artificial Intelligence Articles

New tool evaluates progress in reinforcement learning

"IntersectionZoo," a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

Making AI models more trustworthy for high-stakes settings

A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.

Engineering Smarter E-Waste Disassembly with Robots and AI

The Fraunhofer Institute for Factory Operation and Automation IFF (Fraunhofer IFF) is working to overcome challenges to e-waste disposal.

A new AI language model that mimics the organization of the brain

EPFL researchers have developed the first AI model of language in the brain that captures both how neurons are arranged and how they function.

AI provides reliable answers with less computational overhead

ETH Zurich researchers have developed a method that makes AI responses increasingly reliable. Their algorithm specifically selects data relevant to the question. In addition, even AI models up to 40 times smaller achieve the same output performance as the best large AI models.

Training LLMs to self-detoxify their language

A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.

New method efficiently safeguards sensitive AI training data

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

Health Monitoring with Edge AI: Insights from Ambiq's Carlos Morales

Ambiq’s ultra-low-power edge AI technology is pushing health monitoring by enabling always-on, intelligent wearable devices that track vital signs in real time without relying on cloud connectivity.

Like having a personal healthcare coach in your pocket

New apps for cancer patients, cannabis users, others make use of algorithms that continually customize support

Revolutionizing Digital Healthcare with Axelera AI: Enhancing Patient Care and Operational Efficiency

Healthcare is facing a critical workforce shortage, with AI emerging as a key tool to support clinicians by improving diagnostics, treatment planning, and efficiency without replacing human expertise.

Trustworthy AI without Trusted Data

EPFL researchers developed a ground-breaking new tool to help build safer AI.

AI Infrastructure Engineering: Building Enterprise-Scale Machine Learning Systems

This article covers advanced architectural patterns, performance optimisation strategies, and critical operational considerations for building production-grade AI infrastructure systems!

"Fruit flies are a major source of inspiration in robotics"

Researchers at EPFL’s Neuroengineering Laboratory, led by Pavan Ramdya, aim to replicate the workings of the brain of the common fruit fly, Drosophila melanogaster. We spoke with Ramdya about the exciting prospects for robotics.