Latest AI (Artificial Intelligence) News
UN launches global AI resource hub consolidating 750+ initiatives
The UN Interagency Working Group on AI launched an online hub aggregating over 750 AI initiatives from more than 50 UN entities to help governments and partners find AI tools for development, humanitarian work and policy guidance. The hub was developed by UNDP, ITU and UNESCO and highlights projects from UNICEF, WIPO and others for health, accessibility and environmental monitoring
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NYU Abu Dhabiâs AI (LAâ´SR) speeds discovery of life-supporting microalgae proteins
Researchers at NYU Abu Dhabi introduced LAâ´SR, an AI trained on protein sequences that can separate microalgal proteins from background noise with nearâperfect accuracy and run analyses ~10,000Ă faster than prior methods, enabling faster discovery of environmental and bioenergy-relevant enzymes. The work, published in Patterns, could accelerate monitoring of ecosystems and identification of natural compounds for clean-energy applications
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New AI predicts disease types caused by genetic variants (V2P)
Mount Sinai researchers developed V2P, an AI that goes beyond pathogenicity scoring to predict which disease categories a specific genetic mutation is likely to cause, often ranking the true causal variant among the top 10 candidates in tests. The method aims to speed genetic diagnosis and inform precision medicine and drug-discovery efforts, with plans to increase granularity and integrate other data sources
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OpenAI publishes FrontierScience benchmark for AI scientific reasoning
OpenAI released FrontierScience, a new benchmark designed to evaluate AI modelsâ ability to perform expert-level scientific reasoning across physics, chemistry and biology, advancing evaluation standards for research-oriented AI capabilities. The benchmark provides tasks to probe whether AI can assist or perform complex scientific workflows, informing model development and safety evaluation
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AI advances presented at ESMO 2025 highlight oncology validation needs
ESMO 2025 showcased AI foundation models and digital biomarker frameworks in oncology, stressing the need for multiâinstitutional validation and clinically meaningful endpoints (e.g., survival) for Class AâC biomarkers before deployment. Speakers called for proportionate validation levelsâfrom analytical reproducibility to prospective clinical trialsâto ensure AI strengthens oncology evidence generation and patient care
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AI tools help accelerate multiple Mayo Clinic and Boston University biomedical breakthroughs
Mayo Clinicâs 2025 research highlights include AIâpowered drug discovery and trial-simulation methods that accelerate translational research and make trials more accessible. Boston University listed AI-assisted inventions among its top 2025 advances, such as algorithms improving hearing aids and devices that speed MRI, demonstrating AIâs growing role across medical research and devices
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UN agencies: AI applied to environmental monitoring and development projects
The UN AI hub showcases use cases where AI monitors mining sites and improves environmental management in countries like South Africa and Lesotho, and tools (e.g., UNICEFâs Cboard) that increase accessibility for people with speech and language impairments. The hub is intended to help policymakers and practitioners discover proven, contextâappropriate AI solutions across development sectors
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Science reports AI decoding DNA to forecast disease outcomes
A Mount Sinai-led study reported an AI that maps variants to likely disease phenotypes, promising faster identification of disease-causing mutations and more targeted diagnostic follow-up for rare and complex disorders. The team emphasized ongoing work to refine predictions and combine AI outputs with other biomedical data for drug discovery
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Nature and major outlets highlight AIâs role in shaping 2025 science and policy
Natureâs yearâinâreview coverage and other outlets emphasize AI-driven advances in forecasting extreme weather, shaping public-health responses, and influencing science leadership, underscoring AIâs crossâdisciplinary impact in 2025. Media reporting also notes debates on AI governance and public trust as adoption accelerates in education and industry
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AI accelerates discovery pipelines in biotech and climate research
Multiple institutions reported AI systems that compress weeks of bioinformatics or experimental prioritization into hoursâexamples include LAâ´SR for microalgae protein discovery and AI models used in climate and ecological forecastingâsupporting faster R&D cycles and environmental monitoring. These developments raise opportunities for innovation alongside calls for validation and responsible deployment
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