AI News

October 01, 2026

OpenAI & DeepMind

AI Research (general)

$\textit{BlockFormer}$ : Transformer-based inference from genomic contact maps

arXiv cs.LG (Machine Learning) · Oct 01

$\textit{BlockFormer}$ : Transformer-based inference from genomic contact maps

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation Signals

arXiv cs.AI · Oct 01

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation Signals

3D Software Synthesis Driven by Constraint-Expressive Intermediate Representation

arXiv cs.AI · Oct 01

3D Software Synthesis Driven by Constraint-Expressive Intermediate Representation

A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networks

arXiv cs.AI · Oct 01

A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networks

A Competing-Hazards Systematization of Loss of Control in Autonomous Agents

arXiv cs.AI · Oct 01

A Competing-Hazards Systematization of Loss of Control in Autonomous Agents

A Comprehensive Benchmark of Source-Free Universal Domain Adaptation on Time Series Representations

arXiv cs.LG (Machine Learning) · Oct 01

A Comprehensive Benchmark of Source-Free Universal Domain Adaptation on Time Series Representations

A Data-Free Physics-Informed Neural Operator for Level-Set Interface Advection

arXiv cs.LG (Machine Learning) · Oct 01

A Data-Free Physics-Informed Neural Operator for Level-Set Interface Advection

A differentiability framework for zigzag persistent homology via linear interpolation

arXiv cs.LG (Machine Learning) · Oct 01

A differentiability framework for zigzag persistent homology via linear interpolation

A Dynamical Theory of LoRA in Continual Learning

arXiv cs.LG (Machine Learning) · Oct 01

A Dynamical Theory of LoRA in Continual Learning

A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions

arXiv cs.LG (Machine Learning) · Oct 01

A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions

AI in Biotech & High-Impact Journals

Deep learning perturbation models can outperform baselines on calibrated metrics

Nature Machine Learning · Oct 01

Deep learning perturbation models can outperform baselines on calibrated metrics

Shifting from knowledge retrieval to evidence exploration and synthesis

Nature Machine Learning · Oct 01

Shifting from knowledge retrieval to evidence exploration and synthesis

Times are changing but order matters: transferable prediction of small-molecule liquid chromatography retention times

Nature Machine Learning · Oct 01

Times are changing but order matters: transferable prediction of small-molecule liquid chromatography retention times

Function-preserving watermarking of AI-generated proteins

Nature Machine Learning · Sep 30

Function-preserving watermarking of AI-generated proteins

Secret watermark labels proteins as ‘made by AI’

Nature Machine Learning · Sep 30

Secret watermark labels proteins as ‘made by AI’

This award-winning microscopy image used AI — igniting controversy in a prestigious competition

Nature Machine Learning · Sep 30

This award-winning microscopy image used AI — igniting controversy in a prestigious competition

WeedNet: a foundation model-based global-to-local AI approach for weed species identification and classification

Nature Machine Learning · Sep 30

WeedNet: a foundation model-based global-to-local AI approach for weed species identification and classification

AI can widen science — but only if institutions stop rewarding the already measurable

Nature Machine Learning · Sep 29

AI can widen science — but only if institutions stop rewarding the already measurable

AI-powered medical devices must be tested in real-world settings

Nature Machine Learning · Sep 29

AI-powered medical devices must be tested in real-world settings

Phylogeny-agnostic strain-level prediction of phage–host interactions from genomes using machine learning

Nature Machine Learning · Sep 29

Phylogeny-agnostic strain-level prediction of phage–host interactions from genomes using machine learning