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 ...

AI certifications validate your skills and make you more job-ready in a growing field. Choosing the right certification depends on your current experience and career aspirations. Look for programs ...

In the Chicago Urban Heritage Project, College students are turning century-old insurance atlases into interactive digital ...

While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.

Princeton Plasma Physics Laboratory plans to launch a new AI project, called STELLAR-AI, to lower costs and heighten efficiency for experiments. The program is anticipated to launch in 2027, and is ...

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 ...

Anthropic has unveiled Claude Opus 4.6, introducing a million-token context window and automated agent coordination features ...

A group of Rutgers Business School students were first place winners in a national competition that tested their knowledge of ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds.

What has been called the “SaaSpocalypse” isn’t about software dying. It’s about control — specifically, who controls the orchestration layer of enterprise AI. And right now, that battle is ...

To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.