Responding to the next frontier of critical cyber capabilities
Responding to the next frontier of critical cyber capabilities
AI News
August 08, 2026
OpenAI & DeepMind
How HSP GRUPPE builds AI capabilities for tax advisory
How HSP GRUPPE builds AI capabilities for tax advisory
WeatherNext: AI model achieves breakthrough in forecasting cyclones
WeatherNext: AI model achieves breakthrough in forecasting cyclones
Improving GPT‑5.6 Sol in ChatGPT—and expanding access to GPT-5.6 Luna for free users
Improving GPT‑5.6 Sol in ChatGPT—and expanding access to GPT-5.6 Luna for free users
Working with the American Psychological Association on youth mental health and AI
Working with the American Psychological Association on youth mental health and AI
From asking to doing: How the world is putting ChatGPT to work
From asking to doing: How the world is putting ChatGPT to work
Third-party cyber evaluations involving OpenAI models
Third-party cyber evaluations involving OpenAI models
New ways to learn and teach with ChatGPT Work and Codex
New ways to learn and teach with ChatGPT Work and Codex
Apple is getting this wrong
Apple is getting this wrong
How we built a realtime system for responsive voice AI in six months
How we built a realtime system for responsive voice AI in six months
AI in Biotech & High-Impact Journals
Associations of fluid intake patterns, hydration status, and metabolic dysfunction-associated steatotic liver disease (MASLD): a cross-sectional study in older adults
Associations of fluid intake patterns, hydration status, and metabolic dysfunction-associated steatotic liver disease (MASLD): a cross-sectional study in older adults
Author Correction: Clinically-guided models or foundation models? predicting cervical spondylotic myelopathy from electronic health records
Author Correction: Clinically-guided models or foundation models? predicting cervical spondylotic myelopathy from electronic health records
Machine learning enables clinically feasible implementation of clot waveform analysis for differentiating causes of prolonged activated partial thromboplastin time
Machine learning enables clinically feasible implementation of clot waveform analysis for differentiating causes of prolonged activated partial thromboplastin time
Pan-retinal pathology detection in oct scans integrating natural language synthesis with diagnostic annotation
Pan-retinal pathology detection in oct scans integrating natural language synthesis with diagnostic annotation
Plasma p-tau217 as a two-cutoff approach to improve tau-PET screening and trial recruitment in Alzheimer’s disease
Plasma p-tau217 as a two-cutoff approach to improve tau-PET screening and trial recruitment in Alzheimer’s disease
The effectiveness of clinical guideline on the caregiving performance of mothers with children with cystic fibrosis: A clinical trial study
The effectiveness of clinical guideline on the caregiving performance of mothers with children with cystic fibrosis: A clinical trial study
Upper extremity motor score required for clean intermittent catheterization in individuals with spinal cord injury
Upper extremity motor score required for clean intermittent catheterization in individuals with spinal cord injury
Win ratio analysis of surgical approaches for lung cancer: a nationwide observational study using the French national hospital discharge database
Win ratio analysis of surgical approaches for lung cancer: a nationwide observational study using the French national hospital discharge database
A two-stage deep learning model for predicting rotator cuff tear reparability from preoperative MRI
A two-stage deep learning model for predicting rotator cuff tear reparability from preoperative MRI
Age-dependent convergence of kidney stone incidence rates between male and female populations
Age-dependent convergence of kidney stone incidence rates between male and female populations