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6 Scary Predictions for AI in 2026
Could the AI industry be on the verge of its first major layoffs? Will China spread propaganda to slow the US data-center building boom? Where are AI agents headed?
Read More...The evolution of expendability: Why some ants traded armor for numbers
The trade-off between quality and quantity is a fundamental economic dilemma. Now, a team of British, American, and Japanese researchers describes how it applies to biology, as well. They have...
Read More...VAST Data Selected by SciNet and SHARCNET in Canada
NEW YORK CITY – December 17, 2025 – VAST Data today announced that SciNet at the University of Toronto, and SHARCNET at the University of Waterloo have adopted VAST as their data and AI operating...
Read More...The Machine Learning Engineer’s Checklist: Best Practices for Reliable Models
Building newly trained machine learning models that work is a relatively straightforward endeavor, thanks to mature frameworks and accessible computing power.
Read More...Top 5 Vector Databases for High-Performance LLM Applications
Building AI applications often requires searching through millions of documents, finding similar items in massive catalogs, or retrieving relevant context for your LLM.
Read More...How to Use 'Progressive Overload' to Get Stronger
As you get stronger, you become able to lift heavier and heavier weights. That's the idea at the heart of an often-misunderstood fitness concept: progressive overload. Unfortuantely, there are a lot...
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By Paresh Dave