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A new American Chemical Society study finds 67% of college students—and 81% in the U.S.—believe AI tools discourage deep learning. Faculty remain divided as universities race to design AI integration policy.
New research argues that physics-informed AI—models constrained by actual power system laws—outperforms standard neural networks for electricity grid planning as data-center demand and climate volatility push grids beyond historical data ranges.
A Stanford SCALE review of 800+ studies found zero high-quality U.S. causal studies on AI's effect on K–12 students — while states legislate and districts deploy at scale.
Yann LeCun raised $1.03 billion in seed funding for AMI Labs, betting that world models — not transformers — are the path to AI that understands physical reality.
Across K-12 platforms, tutoring apps, and enterprise LMS tools, AI-driven personalization has shifted from differentiated feature to baseline expectation — and legacy publishers are racing to keep up.
T-Mobile and Ericsson have commercially deployed the world's first AI-native Radio Access Network scheduler, replacing decades-old static algorithms with a continuously learning model that optimizes spectral efficiency in real time.
Machine learning drives loan approvals worldwide, but legal accountability frameworks built for human underwriters haven't been updated for algorithms operating at scale.
AI can complete most conventional homework in seconds. Now schools are being forced to confront whether those assignments were ever measuring actual learning — and what they should be doing instead.
Rasmussen University is replacing Blackboard with D2L Brightspace across all programs, piloting AI-native learning tools in nursing education first in May 2026.
A study published April 29 finds AI systems produce correct answers while fundamentally failing to understand the underlying concepts — challenging benchmarks used to certify AI for high-stakes deployment.
A paper at ICLR 2026 finds that reinforcement-learning reasoning training — the technique behind o3 and Gemini Thinking — proportionally increases tool-call hallucinations as model performance improves.
Boise State University launched a college course taught entirely by an AI-generated avatar — placing students in the position of critically evaluating AI-mediated instruction while learning about AI.
A comprehensive, plain-language guide to AI — what it is, how it works, where it is used, and what it means for your business and daily life.
Researchers published findings showing a neuro-symbolic AI architecture can reduce energy consumption up to 100-fold compared to standard deep learning while simultaneously improving task accuracy.