OpenAI launches reasoning LLM that you can download and tweak
‘Open-weight’ AI models enable researchers to perform custom training or study how information is represented inside their neural…
Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines
The success of large language models in knowledge representation has spawned efforts to apply the foundation model concept…
GeneAgent: self-verification language agent for gene-set analysis using domain databases
Model setting and data collection In this work, we utilized GPT-4 (version 20230613) as the backend model via…
How Computers “See” Molecules | Towards Data Science
a computer, Edvard Munch’s The Scream is nothing more than a grid of pixel values. It has no sense of…
Salk Institute’s ShortStop revolutionizes genetic search
Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But…
Online Hate Speech Resembles Mental Health Disorder Language
Key Questions Answered Q: What did this study find about hate speech and psychiatric disorders?A: Posts in online…
Your Gut May Be the Key to Chronic Fatigue, Long COVID
Key Questions Answered Q: What did the study uncover about ME/CFS?A: The study revealed that ME/CFS disrupts key…
Machine learning in Alzheimer’s disease genetics
School of Medicine, Cardiff University, Cardiff, UK Matthew Bracher-Smith, Julie Williams, Nicola Denning, Alun Meggy & Valentina Escott-Price Centre for Neuropsychiatric Genetics and…
AI identifies novel gene variants linked to Alzheimer’s risk
New AI-driven research reveals how advanced machine learning models not only confirm known Alzheimer’s genes but also spot…
Quantitative evaluation of methods to analyze motion changes in single-particle experiments
Datasets and ground truth In order to benchmark the different methods on data with a known ground truth,…