Latest AI (Artificial Intelligence) News
Humanitarian AI Faces 'Winter' Amid Funding Cuts
The humanitarian sector grapples with a 'humanitarian AI winter' due to shrinking aid budgets pausing pilots and limiting talent access, despite innovations in early warning, health, and funding allocation. CARE International highlights Global South CSOs' role in inclusive AI governance, while Mercy Corps deploys safe generative AI chatbots
. Experts urge building guardrails into humanitarian AI responses
.
ALCF Exascale AI Drives 2025 Scientific Breakthroughs
Argonne's ALCF resources like Aurora and Polaris enabled AI models for light-matter dynamics, earning Gordon Bell Prize finalist status with massive speedups. University of Michigan team built large AI foundation models for battery materials using SMILES and SMIRK, now expanding to Aurora for electrodes
. High-precision AI screened defects for quantum qubits in magnesium oxide
.
Abt Global Partners with Rhino.AI for Federal AI Modernization
Abt Global and Rhino.AI announced a partnership on December 18, 2025, to accelerate secure AI app development for U.S. agencies using Rhino's discovery platform. The combo leverages Abt's policy expertise for trustworthy, efficient modernization reducing operational complexity
. It addresses visibility gaps in legacy systems for faster, risk-reduced AI deployment
.
Google Research 2025: Bolder AI Architectures and Quantum Wins
Google advanced efficient, multilingual generative models, generative UI, and agentic AI for scientific discovery including AI co-scientist for hypotheses. 'Quantum Echoes' algorithm on Willow chip ran 13,000x faster than classical supercomputers for molecular interactions, aiding drug design and fusion
. Progress in Earth sciences, genomics, biology, and societal priorities like climate and health
.
President Trump Signs National AI Policy Framework EO
On December 11, 2025, President Trump issued an executive order for a uniform national AI policy to sustain U.S. dominance and counter state-level patchwork regulations. The minimally burdensome framework aims to enhance global leadership in AI
. It raises questions for existing state AI laws and employer compliance
.