Opinion
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Case Study: Two manufacturers take a non-intrusive approach to reliability optimization

With help from Eruditio, food and automotive component plants make consequential uptime and efficiency gains through process improvement.

Only 14% of Workers Achieve This 401(k) Benchmark—Here’s How to Set It as Your Target

Only 14% of participants max out their defined contribution retirement plans (such as 401(k)s), a Vanguard study shows. High-income earners are more likely to max out their 401(k)s, but even if you ...

Data, design and dosa batter: How Instamart is turning your 10-min craving into a private label empire

Private labels are usually invisible and price-led. But Swiggy Instamart wants them to be visible and aspirational. By ...
The Lancet

Mapping the susceptibility of large language models to medical misinformation across clinical notes and social media: a cross-sectional benchmarking analysis

aThe Windreich Department of Artificial Intelligence and Human Health, Mount Sinai Health System, New York, NY, USA bThe Hasso Plattner Institute for Digital Health at Mount Sinai, Mount Sinai Health ...
Education Week

The Case for Reading Tutoring Before 3rd Grade, Not After

This September, Savannah-Chatham County public schools tried out an intensive new tutoring program to help struggling readers ...
Taunton Daily Gazette

Censinet to Announce Findings from The 2026 Healthcare Cybersecurity Benchmarking Study, and New AI Products at ViVE 26

Research explores cybersecurity maturity, AI governance, shadow AI, agentic adoption, rural health systems, and AI risk ownership across the health industry. The Healthcare Cybersecurity Benchmarking ...
TMCnet

Axtria Unveils U.S. Incentive Compensation Benchmarking Study 2026 to Help Life Sciences Organizations Drive Performance and Precision

BERKELEY HEIGHTS, N.J., Feb. 19, 2026 /PRNewswire/ -- Axtria Inc., a global leader in AI-first data analytics solutions for the life sciences industry, today announced the release of its sixth edition ...
IEEE

A Unified Lightweight Benchmark for Privacy-Preserving Federated Learning in Cyber-Physical Systems (Fashion-MNIST Case Study)

Abstract: Federated learning (FL) enables collaborative training on decentralized data, but sharing model updates exposes clients to inference attacks. We introduce a lightweight, open benchmark for ...