AI News

July 31, 2026

OpenAI & DeepMind

Advancing responsible AI across Europe

OpenAI Blog · Jul 31

Advancing responsible AI across Europe

Univé builds an AI-ready workforce

OpenAI Blog · Jul 31

Univé builds an AI-ready workforce

Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

DeepMind Blog · Jul 30

Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

Advancing the price-performance frontier with GPT-5.6

OpenAI Blog · Jul 30

Advancing the price-performance frontier with GPT-5.6

How avatarin built a 24/7 retail agent with GPT-Realtime

OpenAI Blog · Jul 30

How avatarin built a 24/7 retail agent with GPT-Realtime

We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control

DeepMind Blog · Jul 29

We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control

How enabling two settings tripled our scores on the ARC-AGI-3 benchmark

OpenAI Blog · Jul 29

How enabling two settings tripled our scores on the ARC-AGI-3 benchmark

Accelerating scientific discovery with ChatGPT for Academic Researchers

OpenAI Blog · Jul 29

Accelerating scientific discovery with ChatGPT for Academic Researchers

How GPT-5.6 fuses frontier intelligence with frontier efficiency

OpenAI Blog · Jul 29

How GPT-5.6 fuses frontier intelligence with frontier efficiency

Scientific computing in the age of agentic AI

OpenAI Blog · Jul 28

Scientific computing in the age of agentic AI

AI Research (general)

$\beta$-OPSD: Deriving with Policy Optimization, Training with Self-Distillation

arXiv cs.LG (Machine Learning) · Jul 31

$\beta$-OPSD: Deriving with Policy Optimization, Training with Self-Distillation

$\texttt{AMEND++}$: Benchmarking Eligibility Criteria Amendments in Clinical Trials

arXiv cs.AI · Jul 31

$\texttt{AMEND++}$: Benchmarking Eligibility Criteria Amendments in Clinical Trials

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations

arXiv cs.AI · Jul 31

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations

(Towards) Scalable Reliable Automated Evaluation with Large Language Models

arXiv cs.LG (Machine Learning) · Jul 31

(Towards) Scalable Reliable Automated Evaluation with Large Language Models

A Density-Matrix Framework for Electronic-Structure Analysis of Functional-Group and Salt Effects in Lithium-Metal Electrolytes

arXiv cs.AI · Jul 31

A Density-Matrix Framework for Electronic-Structure Analysis of Functional-Group and Salt Effects in Lithium-Metal Electrolytes

A Distributed Acoustic Sensing Dataset for Vessel Detection and Localization in Submarine Cable Protection

arXiv cs.LG (Machine Learning) · Jul 31

A Distributed Acoustic Sensing Dataset for Vessel Detection and Localization in Submarine Cable Protection

A First Look at Coding Agents' Compliance with AI Contribution Rules in Open-Source Communities

arXiv cs.AI · Jul 31

A First Look at Coding Agents' Compliance with AI Contribution Rules in Open-Source Communities

A Graph-Native Bitemporal Memory Store for Conversational AI Agents

arXiv cs.AI · Jul 31

A Graph-Native Bitemporal Memory Store for Conversational AI Agents

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation

arXiv cs.LG (Machine Learning) · Jul 31

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation

A Methodology for Designing Knowledge-Driven Missions for Robots

arXiv cs.AI · Jul 31

A Methodology for Designing Knowledge-Driven Missions for Robots

AI in Biotech & High-Impact Journals

A federated privacy-preserving framework for osteoporotic fracture risk assessment over multi-source heterogeneous medical data

Nature Medicine · Jul 31

A federated privacy-preserving framework for osteoporotic fracture risk assessment over multi-source heterogeneous medical data

A machine learning framework for predicting and modulating condition-dependent protein phase separation

Nature Machine Learning · Jul 31

A machine learning framework for predicting and modulating condition-dependent protein phase separation

A systematic review of the prevalence and diagnostic approaches of respiratory sarcopenia

Nature Medicine · Jul 31

A systematic review of the prevalence and diagnostic approaches of respiratory sarcopenia

Adherence to the DASH diet moderates the association between sedentary time and the risk of obstructive sleep apnea in a hypertensive rural Chinese population: a cross-sectional study

Nature Medicine · Jul 31

Adherence to the DASH diet moderates the association between sedentary time and the risk of obstructive sleep apnea in a hypertensive rural Chinese population: a cross-sectional study

Antibiotic development and a path to access in India

Nature Medicine · Jul 31

Antibiotic development and a path to access in India

Associations of sustainable and healthy nutrition, perceived stress, and brain fog with academic performance among university students

Nature Medicine · Jul 31

Associations of sustainable and healthy nutrition, perceived stress, and brain fog with academic performance among university students

Benchmarking and developing large language models using one million clinical trials

Nature Medicine · Jul 31

Benchmarking and developing large language models using one million clinical trials

Cardiorenal and survival outcomes of GLP-1 receptor agonist and SGLT-2 inhibitor therapy in diabetic kidney disease: two stage-stratified real-world comparisons

Nature Medicine · Jul 31

Cardiorenal and survival outcomes of GLP-1 receptor agonist and SGLT-2 inhibitor therapy in diabetic kidney disease: two stage-stratified real-world comparisons

Changes in the hypertension care cascade among adults in Tamil Nadu, India, based on consecutive cross-sectional surveys 2020 and 2024

Nature Medicine · Jul 31

Changes in the hypertension care cascade among adults in Tamil Nadu, India, based on consecutive cross-sectional surveys 2020 and 2024

Deep learning prediction of left atrial structure and function from 12-lead electrocardiograms

Nature Machine Learning · Jul 31

Deep learning prediction of left atrial structure and function from 12-lead electrocardiograms