Latest AI (Artificial Intelligence) News
UN Appoints 40 Members to Independent International Scientific Panel on AI
The United Nations General Assembly has appointed 40 multidisciplinary AI experts from over 2,600 candidates to a new Independent International Scientific Panel on Artificial Intelligence for a three-year term. Selected by ITU, UN Office for Digital and Emerging Technologies, and UNESCO, the geographically diverse and gender-balanced panel will provide impartial assessments of AI’s opportunities, risks, and impacts to inform global governance.
This step aims to enable all Member States to engage equally in AI discussions.
Ai2 Launches AutoDiscovery AI for Automated Scientific Research
Ai2 has introduced AutoDiscovery, an experimental AI feature in AstaLabs that generates hypotheses from data, proposes experiments, writes and executes Python code, and interprets results. Using Bayesian surprise and Monte Carlo Tree Search, it explores scientific datasets like cancer research, providing reproducible research directions.
Experts praise its potential to uncover hidden discoveries in fields like immuno-oncology and marine ecology.
Regina, Saskatchewan, Poised to Host New AI Data Centre
Documents reveal Bell Canada's AI Fabric project may establish an AI data centre in Regina, Saskatchewan's capital, located in Emerald Park east of the city. This development positions the region as a hub for AI infrastructure growth.
The project aligns with expanding AI computational needs.
AI Enters Alzheimer's Drug Discovery Pipelines with Multimodal Analysis
AI is now analyzing large multimodal Alzheimer's datasets to inform target discovery and trial design, driven by clinical progress like FDA-approved treatments and blood-based diagnostics. Advanced 'agentic' AI systems reason across datasets, generate hypotheses, and identify hidden biological patterns from genomics to clinical data.
Initiatives like the AD Data Initiative provide curated datasets enabling this shift.
DARPA's CLARA Initiative Funds High-Risk AI for Defense Systems
DARPA's Disruptioneering program launched CLARA on February 4, 2026, funding high-risk research for Compositional Learning-And-Reasoning in AI complex systems engineering. It aims to integrate automated reasoning with machine learning for mathematically verifiable, trustworthy AI suitable for defense.
Awards use fast-track Other Transaction contracts within 120 days.
AI and Physics Yield New Turbulence Equation for Eddy Interactions
University of Chicago researchers used AI equation discovery combined with physics to model small-large eddy interactions in turbulence, vital for climate and ocean simulations. The refined equation, incorporating energy flow physics, predicts extreme events like cyclones more efficiently with less computation.
This hybrid approach accelerates scientific discovery across geophysics.
ProPhet AI Targets 'Undruggable' Proteins in Small Molecule Discovery
ProPhet uses AI and machine learning to map proteins and billions of compounds into a shared space for rapid hit-finding, even without structures or large datasets. It enables screening of challenging 'undruggable' targets, accelerating small molecule drug discovery.
Led by experts in computational biology, it differentiates from traditional methods.
AI Advances Stewardship in Agricultural Research and Climate-Smart Crops
Machine learning enhances pattern detection, climate modeling, remote sensing, and climate-resilient crop breeding in agriculture via projects like CGIAR's Artemis. AI advisory systems using LLMs improve policy and farmer decisions with multi-language support.
Principles ensure equitable AI integration through tools like Digital Transformation Accelerator.