Latest AI (Artificial Intelligence) News
AI Drives Breakthroughs in Disease Detection and Drug Discovery
Rice University experts showcase AI's critical role in decoding DNA and accelerating drug discovery, enhancing disease forecasting for Alzheimer’s, pathogen tracking, cancer detection, and vaccine design. Collaboration and ethical use remain vital for continued progress in biomedical AI applications.
Amgen Advances Medicine Design with AI and Generative Biology
Amgen integrates AI, biology, and automation, leveraging the AMPLIFY protein language model to triple protein engineering speed and halve discovery timelines. This approach enables precise design of new biologic medicines, accelerating therapeutic innovation beyond traditional protein screening.
New Discoveries in Computer Vision Reveal AI's Social Understanding Limits
November 2025 research identified 'social blindness' in vision-language AI models when tracking speakers in video, with novel parameter-free fixes improving AI focus. Additional breakthroughs demonstrate major efficiency gains, realistic synthetic data, and advanced uncertainty quantification techniques in AI vision systems.
AI Reshapes Pharma and Biotech with Speed and Precision
AI-enabled digital twins and enhanced genomic analysis accelerate drug target identification, clinical trial design, and precision medicine. This transformative integration improves success rates and reduces costs, marking a shift to data-driven biotech R&D.
Agentic AI Innovations Address Critical Business Challenges
New agentic AI developments focus on autonomous, decision-making technologies enhancing R&D, strategy, and product pipelines across industries. These innovations promise to solve complex business issues with increased efficiency and intelligence.
AI and Quantum Computing Highlighted in Scientific Symposium
Symposium in Sweden emphasizes AI's synergy with quantum mechanics, reflecting recent Nobel recognition. Discussions explore quantum phenomena, machine learning in uncovering fundamental processes, and future sustainable computing paradigms.
Exploration of Federated Learning Enhances AI Collaboration in Protein Design
Amgen and Mila are experimenting with federated learning approaches to collectively train AI on protein data without compromising data privacy, broadening model capabilities and accelerating biologic discovery across organizations.