Research News
AI research covers academic papers, breakthroughs and findings from labs like DeepMind, Berkeley AI Research and Stanford HAI. This page aggregates the latest peer-reviewed and preprint AI science.
783 articles · updated 24/7 from 100+ sources
Alan Turing's biggest AI assumption may have been wrong
A new book claims AI has been built on a flawed assumption dating back to Alan Turing's famous 1950 paper.…
Context-aware sequence-to-function model of human gene regulation
Context-aware sequence-to-function model of human gene regulation. Nature ML — AI news.
Siri AI Is Becoming Apple’s Everything Tool
Reece RogersGearJul 13, 2026 5:39 PMSiri AI Is Becoming Apple’s Everything ToolApple’s revamped Siri is…
What Anthropic’s latest AI discovery does—and doesn’t—show
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in…
Empowering India’s next generation of innovators with ATL Saathi
July 14, 2026 Responsibility & SafetyEmpowering India’s next generation of innovators with ATL SaathiSeshu…
Scientists discovered the brain doesn't make decisions the way we thought
Science News from research organizations Scientists discovered the brain doesn't make decisions the way we…
High-resolution reconstruction of cell-type-specific transcriptional regulatory processes from bulk sequencing samples
High-resolution reconstruction of cell-type-specific transcriptional regulatory processes from bulk…
A benchmark for assessing large language models on molecular-to-food and food-to-molecular prediction tasks
Large Language Models (LLMs) have demonstrated remarkable proficiency in general-purpose tasks, yet their…
RAG-GNN: retrieval-augmented graph neural networks for protein interaction network embeddings
We present RAG-GNN, an end-to-end trainable framework that augments a graph neural network (GNN) encoder for…
Interpretable polyp classification via end-to-end Concept Bottleneck Models with vision-language concept alignment
Background and objectiveArtificial intelligence has improved adenoma detection during colonoscopy, but most…
From LLM narratives to parameterized cooperation policies in multi-agent systems
IntroductionLarge language models (LLMs) can generate persuasive narratives that shift agent behavior in…
What drives preservice teachers’ use of generative AI as instructional media? A structural and configurational analysis
IntroductionThe accelerating diffusion of Generative AI (GenAI) in education has sparked interest in…
Pre-analytical reporting in AI-assisted cervical cytology: a scoping review of data acquisition documentation
Artificial intelligence (AI) models for cervical cytology screening have achieved pooled accuracy and…
Machine learning redevelopment of GRACE, ACEF, and TIMI scores for 6-month mortality
BackgroundIn recent years, advancements in our understanding of the pathophysiological mechanisms underlying…
Integration of artificial intelligence-based solutions into electronic gaming machines for responsible gambling: a case study of South Africa
The increase in sophisticated electronic gambling products offered by gambling manufacturers facilitates an…
The legalization of international instruments: a hybrid RAG scoring framework based on chain-of-thought prompting
IntroductionAccurately evaluating the degree of legalization of international instruments is analytically…
Algorithmic scholarship and academic evaluation: governance misalignment in the age of generative AI
IntroductionGenerative artificial intelligence (AI), particularly large language models, is rapidly becoming…
Machine learning-based fetal health prediction and development of smart web application
IntroductionFetal health monitoring is critical for early identification of pregnancy-related risks. Manual…
Systematic analysis of evaluation metrics for deep learning-based surgical phase recognition in laparoscopic cholecystectomy
Evaluation metrics are essential for assessing the performance of AI models and enabling comparability across…
PaSTO-GNN: prompt-aware spatio-temporal graph neural networks for automatic essay scoring
Automatic Essay Scoring (AES) aims to evaluate the quality of written essays automatically, providing fast,…
Beyond accuracy: evaluating the reliability of large language models for medical assessment
BackgroundLarge language models (LLMs) perform well on medical examinations, but they are almost always…
AE-HGNN: attention-enhanced hypergraph neural networks for interpretable stress prediction through higher-order dependency modeling
Stress is a significant contributor to the deterioration of mental and physical health, including conditions…
Towards synthetic fillers for fair photo lineups: application of generative AI in criminal law proceedings
A photo lineup is an identification procedure widely used in criminal investigations. It involves presenting…
Leveraging artificial intelligence to support surgical oncology multidisciplinary team decision-making: a systematic review
IntroductionArtificial intelligence (AI)–based clinical decision support systems (CDSSs) are increasingly…