We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks
We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks
AI News
May 22, 2026
OpenAI & DeepMind
AdventHealth advances whole-person care with OpenAI
AdventHealth advances whole-person care with OpenAI
An OpenAI model has disproved a central conjecture in discrete geometry
An OpenAI model has disproved a central conjecture in discrete geometry
How Ramp engineers accelerate code review with Codex
How Ramp engineers accelerate code review with Codex
The next phase of OpenAI’s Education for Countries
The next phase of OpenAI’s Education for Countries
Introducing OpenAI for Singapore
Introducing OpenAI for Singapore
Advancing content provenance for a safer, more transparent AI ecosystem
Advancing content provenance for a safer, more transparent AI ecosystem
Fast-tracking genetic leads to reverse cellular aging
Fast-tracking genetic leads to reverse cellular aging
OpenAI and Dell partner to bring Codex to hybrid and on-premise enterprise environments
OpenAI and Dell partner to bring Codex to hybrid and on-premise enterprise environments
Simulate real-world places with Project Genie and Street View
Simulate real-world places with Project Genie and Street View
AI Research (general)
$ECUAS_n$: A family of metrics for principled evaluation of uncertainty-augmented systems
$ECUAS_n$: A family of metrics for principled evaluation of uncertainty-augmented systems
A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection
A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection
A Comprehensive Comparison of Deep Learning Architectures for COVID-19 Classification on CT & X-ray Imagery
A Comprehensive Comparison of Deep Learning Architectures for COVID-19 Classification on CT & X-ray Imagery
A Deployment Audit of Release-Side Risk in Conformal Triage under Prevalence Shift
A Deployment Audit of Release-Side Risk in Conformal Triage under Prevalence Shift
A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation
A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation
A Free Lunch in LLM Compression: Revisiting Retraining after Pruning
A Free Lunch in LLM Compression: Revisiting Retraining after Pruning
A Machine Learning Framework for Weighted Least Squares GNSS Positioning based on Activation Functions
A Machine Learning Framework for Weighted Least Squares GNSS Positioning based on Activation Functions
A Mechanistic Study of Tabular Foundation Models
A Mechanistic Study of Tabular Foundation Models
A New Framework to Analyse the Distributional Robustness of Deep Neural Networks
A New Framework to Analyse the Distributional Robustness of Deep Neural Networks
AI in Biotech & High-Impact Journals
Towards responsible genome-wide screening: normative and stakeholder considerations
Towards responsible genome-wide screening: normative and stakeholder considerations
A Dermatologist’s Perspective on Cutaneous Adverse Effects in CTCAE Version 6.0
A Dermatologist’s Perspective on Cutaneous Adverse Effects in CTCAE Version 6.0
A multi-level attention CNN-transformer based framework for the detection of brain tumor using regional dual-score explainability
A multi-level attention CNN-transformer based framework for the detection of brain tumor using regional dual-score explainability
Alignment between physician and patient perceptions of antidepressant treatment outcomes in routine clinical practice
Alignment between physician and patient perceptions of antidepressant treatment outcomes in routine clinical practice
An explainable multi-stage framework for brain tumor classification using hybrid feature fusion and EfficientNetB5 model
An explainable multi-stage framework for brain tumor classification using hybrid feature fusion and EfficientNetB5 model
Appropriateness and utility of a clinical decision support system at the digital front door
Appropriateness and utility of a clinical decision support system at the digital front door
Assessment of the dietary and nutritional status of Iranian pregnant women: a study employing both a priori and a posteriori analytical approaches
Assessment of the dietary and nutritional status of Iranian pregnant women: a study employing both a priori and a posteriori analytical approaches
Associations between body mass index and body composition among Pacific adolescents in Aotearoa New Zealand
Associations between body mass index and body composition among Pacific adolescents in Aotearoa New Zealand
Associations of the uric acid–to–high-density lipoprotein cholesterol ratio with hypertension: a cross-sectional study from the China health and retirement longitudinal study
Associations of the uric acid–to–high-density lipoprotein cholesterol ratio with hypertension: a cross-sectional study from the China health and retirement longitudinal study
Atherogenic index of plasma as a predictor of cardiovascular outcomes in patients with myocardial infarction with nonobstructive coronary arteries
Atherogenic index of plasma as a predictor of cardiovascular outcomes in patients with myocardial infarction with nonobstructive coronary arteries
AI in Computational Pathology
Unintended consequences of legacy oversight in digital medicine
Unintended consequences of legacy oversight in digital medicine
Shock-scattering micro-histotripsy-aided fine needle aspiration for enhanced biomarker profiling and cytopathology
Shock-scattering micro-histotripsy-aided fine needle aspiration for enhanced biomarker profiling and cytopathology
Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping
Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping
Leveraging artificial intelligence in eosinophilic esophagitis
Leveraging artificial intelligence in eosinophilic esophagitis
Adaptive diagnostic reasoning framework for pathology with multimodal large language models
Adaptive diagnostic reasoning framework for pathology with multimodal large language models
Spatial navigation as a digital marker for clinically differentiating cognitive impairment severity
Spatial navigation as a digital marker for clinically differentiating cognitive impairment severity
Author Correction: The contribution of mycetoma grains to suboptimal disease management
Author Correction: The contribution of mycetoma grains to suboptimal disease management
A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis
A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis
Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions
Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions
Knowledge-guided adaptation of pathology foundation models effectively improves cross-domain generalization and demographic fairness
Knowledge-guided adaptation of pathology foundation models effectively improves cross-domain generalization and demographic fairness