A clear explainer of MIT’s $1.2T Iceberg Index: what AI “job exposure” really measures, how skill-level analysis works, and why overlap with wages is a warning signal, not a direct forecast of layoffs.

This explainer shows how to apply least privilege to AI agents using managed identities, task-based RBAC, safe tool binding, just-in-time access, and end-to-end audit logs to prevent scope creep, privilege escalation, and unsafe autonomous actions.

Researchers detail HalluSquatting, an attack that hijacks LLM hallucinated resources to achieve botnet-scale remote code execution against AI coding tools like GitHub Copilot, OpenClaw, Cursor, and others.

A new Radiology study on screening mammography shows how automation bias causes radiologists to follow incorrect AI outputs, miss cancers, and change their search patterns—especially in false negative cases and among less experienced readers.

Cato Networks research reveals how AI harnesses built around models like GPT 5.5-Cyber can execute full attack chains, highlighting context engineering and harness engineering as the real drivers of both offensive and defensive cyber capabilities.

Using new Census Bureau BTOS data, this analysis shows how U.S. firms are really adopting AI: bottom-up worker use, narrow firm-level deployment, task-level changes, modest employment effects, and why AI literacy now shapes the future…

NYU Langone built a two-step AI pipeline that summarizes clinical notes into risk snapshots, then predicts posthospital nursing care needs with 88% accuracy, embedding explainable discharge support directly into Epic EHR workflows.

PYX Labs research finds leading AI models perform well on structured HR tasks but often misinterpret open-ended employee feedback, making them unreliable for people decisions without strong human oversight.

Leaked internal Suno data appears to reveal how its AI music models were trained on millions of songs, lyrics, stock audio, and podcasts, raising new questions over copyright risk, fair use defenses, data security, and…

Autodesk’s 2026 AI Jobs Report shows AI hiring in design-and-make industries doubling, even as a skills gap widens between employers seeking applied, workflow-specific AI talent and students confident mainly with general-purpose tools.

Researchers show extremists increasingly jailbreaking AI chatbots for real-world attack planning. This trend piece unpacks the risks, how guardrails fail, and what AI builders must change to keep models from becoming operational tools for terrorism.

Analysis of nCino’s AI banking platform, NCNO’s rich P/E, narrative fair value of $23.08 vs $17.52 market price, and the competitive and margin risks that could break the AI banking thesis.

Inside PUR-1, the first NRC-licensed all-digital reactor, where AI, digital twins, and quantum-secured networks are tested for the next wave of remote, software-defined nuclear systems.

An NYU-developed AI model analyzes digital tumor slides and clinical data to predict breast cancer recurrence in hours, offering a faster, cheaper alternative to genomic tests and supporting more precise treatment decisions.

A new generation of progressives is reframing the Green New Deal for AI around data centers, climate policy, and energy use—raising key questions for AI infrastructure, regulation, and sustainable compute.

This Insight unpacks AI’s hidden water footprint, explaining how data centers, cooling, energy, and geography shape the real resource cost of chatbots and large models.

Untrained people spot AI faces only 40% of the time. This explainer breaks down six research-backed visual cues that can quickly boost your deepfake detection skills and help you judge whether a face is real…

Biomni AI Co‑Scientist is a multi‑agent LLM system that automates end‑to‑end biomedical workflows, from literature mining to bioinformatics, protocol design, and lab automation, freeing researchers to focus on hypothesis generation and scientific judgment.

Databricks benchmarked AI coding agents on real internal PRs to compare model quality, harness design, and true task-level cost, revealing a cost-quality frontier, stronger open source models, and why workflow-level evaluation matters more than token…

This analysis explains how U.S.–China AI rivalry, export controls, and rising regulation will fragment the AI tools ecosystem, forcing buyers to weigh performance against governance, access stability, and long‑term geopolitical risk.

USC’s free AI tree canopy mapping tool uses aerial imagery and ArcGIS deep learning to give cities low-cost, scalable urban forestry intelligence for heat mitigation, equity planning, and data-backed tree investment decisions.

Using Indeed job posting data from 2022–2026, this analysis shows how AI is reshaping non-tech job titles across the US and Europe, where demand is rising fastest, and what it signals for skills, hiring, and…

This article explains how machine learning supports variable-rate seeding in corn and soybeans, using soil, yield, and geospatial data to tune seeding rates by zone, improve input efficiency, and connect AI directly to farm economics…

This analysis shows how generative AI reshapes institutional work by shifting coordination, redefining professional roles, and improving decision quality, arguing that governance and impact metrics must move beyond time savings and automation.

Research-backed look at how generative AI is changing hiring for MBAs and knowledge workers, and the new mix of domain depth, knowledge synthesis, and AI-embedded workflow design skills employers now expect.