Major conference catches illicit AI use — and rejects hundreds of papers
Organizers of the 2026 International Conference on Machine Learning (ICML) used a watermarking system to catch the use…
Multiview deep learning improves detection of major cardiac conditions from echocardiography
Cohort selection and data sources Our UCSF echocardiogram dataset comprised studies acquired on adult patients at UCSF between…
Pokémon Go players have unknowingly been helping to train delivery robots
Published on 18/03/2026 – 8:41 GMT+1 Players chasing down a rare Snorlax or trying to pin a Pikachu…
‘The Karpathy Loop’: 700 experiments, 2 days, and a glimpse of where AI is heading
Earlier this month, Andrej Karpathy, a well-known AI researcher who was one of the founding employees of OpenAI…
the AI database now includes protein pairing
AlphaFold is now capable of predicting homodimeric complexes, including those formed by the transcription elongation factor Eaf, whose…
Insulin resistance prediction from wearables and routine blood biomarkers
Remote recruitment of participants through the GHS platform The study protocol was approved by Advarra (IRB no. Pro00074093).…
Nvidia Is Planning to Launch an Open-Source AI Agent Platform
Nvidia is planning to launch an open-source platform for AI agents, people familiar with the company’s plans tell…
AI can write genomes — how long until it creates synthetic life?
Evo 2 is an AI model designed to read, interpret, and generate sequences of DNA, RNA, and proteins.Credit:…
Genome modelling and design across all domains of life with Evo 2
Nguyen, E. et al. Sequence modeling and design from molecular to genome scale with Evo. Science 386, eado9336…
these LLMs are willing to commit academic fraud
Credit: Smith Collection/Gado/Getty All major large language models (LLMs) can be used to either commit academic fraud or…
five ways to ensure that scientists are responsible pilots
In the early 1980s, Apple co-founder Steve Jobs described the computer as “a bicycle for our minds”. He…
Confounding factors and biases abound when predicting molecular biomarkers from histological images
Data and study design We analysed the limitations of existing ML approaches for predicting molecular biomarkers (for example,…