Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Today, Crogl announced it has been designated "Awardable" on the Department of Defense Chief Digital and Artificial Intelligence Office (CDAO) Tradewinds Solutions Marketplace, a procurement platform ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

Upstart's (UPST) shares have had a rough couple of months since last summer, diving from over $80 down to the $30 range today. I last covered the company about 1.5 years ago after a positive earnings ...

Designed to go beyond dashboards and reporting, SiftedAI Copilot uses agentic capabilities to plan, reason, and execute multi-step analysis. It identifies cost leakage, such as residential surcharge ...

Dung Thuy Nguyen (Vanderbilt University), Ngoc N. Tran (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Kevin Leach (Vanderbilt University) PAPER PBP: Post-Training Backdoor ...

Institutional participation remains broad, reflecting sustained allocation interest in semiconductor leadership themes NVIDIA ...

The competitive advantage in AI is no longer coming from better prompts or larger models. It is coming from better architecture.

In February 2026, Sabra Health Care REIT, Inc. reported Q4 2025 results showing quarterly revenue of US$211.9 million and net income of US$27.23 million, alongside full-year 2025 net income of US$155.

Brinqa, the leader in unified exposure management, today announced major advancements to the Brinqa platform with the introduction of two new AI agents ? AI Attribution Agent and AI Deduplication ...

First-of-its-Kind Solution Leverages CalmWave's Longitudinal, High-Frequency Clinical Dataset to Objectively Detect Patient Recovery and Discharge ReadinessSEATTLE--(BUSINESS WIRE)--CalmWave, a leader ...

Hybrid human–AI models emerge as the most viable approach. In such systems, AI handles low-risk, high-frequency tasks such as ...