Wevolver | Machine Learning Articles

A step towards understanding machine intelligence the human way

EPFL researchers have discovered key 'units' in large AI models that seem to be important for language, mirroring the brain's language system. When these specific units were turned off, the models got much worse at language tasks.

Novel AI model inspired by neural dynamics from the brain

New type of "state-space model" leverages principles of harmonic oscillators.

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.

Robotic system zeroes in on objects most relevant for helping humans

A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.

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.

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

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!

Machine learning could help predict adherence to HIV treatment in adolescents

Claire Najjuuko, Chenyang Lu, Fred Ssewamala use AI to target interventions to improve compliance

Readying robots for new tasks

The ETH spin-off Flink Robotics wants to revolutionize the handling of packages. Its founders Moritz Geilinger and Simon Huber have developed software that allows robots to work together and quickly take on new tasks.

AI technique boosts climate change defenses

Researchers from Princeton and Rutgers University have used reinforcement learning, a method frequently deployed to train artificial intelligence, to show how flexible responses can substantially increase the cost-effectiveness of steps to defend cities like New York against climate change.