AI News

July 30, 2026

OpenAI & DeepMind

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

How AI is expanding what people do at work

OpenAI Blog · Jul 27

How AI is expanding what people do at work

Launching Health in ChatGPT

OpenAI Blog · Jul 23

Launching Health in ChatGPT

Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission

DeepMind Blog · Jul 22

Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission

Building AI infrastructure with the Effingham County community

OpenAI Blog · Jul 22

Building AI infrastructure with the Effingham County community

How news organizations are using AI to advance their vital missions

OpenAI Blog · Jul 22

How news organizations are using AI to advance their vital missions

AI Research (general)

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

arXiv cs.LG (Machine Learning) · Jul 30

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

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

arXiv cs.AI · Jul 30

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

A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar

arXiv cs.LG (Machine Learning) · Jul 30

A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar

A Compositional Theory of Causally Masked Transformers

arXiv cs.LG (Machine Learning) · Jul 30

A Compositional Theory of Causally Masked Transformers

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

arXiv cs.AI · Jul 30

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

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

arXiv cs.AI · Jul 30

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 30

A Graph-Native Bitemporal Memory Store for Conversational AI Agents

A Methodology for Designing Knowledge-Driven Missions for Robots

arXiv cs.AI · Jul 30

A Methodology for Designing Knowledge-Driven Missions for Robots

A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design

arXiv cs.LG (Machine Learning) · Jul 30

A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design

A Persona-based Rate Action Index

arXiv cs.LG (Machine Learning) · Jul 30

A Persona-based Rate Action Index

AI in Biotech & High-Impact Journals

Gene regulatory innovations from transposable elements in primate cerebellum development

Nature Machine Learning · Jul 30

Gene regulatory innovations from transposable elements in primate cerebellum development

Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function

Nature Machine Learning · Jul 29

Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function

Miniaturizing and modifying natural proteins with Raygun

Nature Machine Learning · Jul 29

Miniaturizing and modifying natural proteins with Raygun

Property guidance for protein sequence generative models with ProteinGuide

Nature Machine Learning · Jul 29

Property guidance for protein sequence generative models with ProteinGuide

This AI ‘Raygun’ can shrink and supersize proteins — opening the door to easy editing

Nature Machine Learning · Jul 29

This AI ‘Raygun’ can shrink and supersize proteins — opening the door to easy editing

Conversational AI: align commercial incentives with public interests

Nature Machine Learning · Jul 28

Conversational AI: align commercial incentives with public interests

Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations

Nature Machine Learning · Jul 28

Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations

Medical AI has a measurement problem

Nature Machine Learning · Jul 28

Medical AI has a measurement problem

Use AI, but don’t mask it

Nature Machine Learning · Jul 28

Use AI, but don’t mask it

When physicians and AI work together, who is accountable? How to lay out medical liability

Nature Machine Learning · Jul 28

When physicians and AI work together, who is accountable? How to lay out medical liability