Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Carey Business School experts Ritu Agarwal and Rick Smith share insights ahead of the latest installment of the Hopkins Forum, a conversation about AI and labor on Feb. 25 ...

AI isn’t killing tech jobs — it’s changing them, favoring pros who pair data and cloud savvy with curiosity, empathy and ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Which tech jobs are actually hiring in 2026? Not always the ones you'd expect. The real growth is in roles that build AI's infrastructure—not just its code.

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.

The media is full of breathless reports that AI can now code and human programmers are going to be put out to pasture. We ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Celebrating Ten Years of Innovation, Leadership, and Lasting Impact Bert’s decade of contributions has shaped Ring in ...

AI-powered platform adds Identification Support for 1M+ Football Cards to 4M Baseball Catalog; adds $199.95 Ultra tier.