You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Your endless scrolling is an energy vacuum, but "lazy logging" and cutting useless data features are finally reining in AI’s ...

Karpathy's autoresearch and the cognitive labor displacement thesis converge on the same conclusion: the scientific method is being automated, and the knowledge workforce may be the next casualty.

Jabez Eliezer Manuel, Senior Principal Engineer at Booking.com, presented “Behind Booking.com's AI Evolution: The Unpolished ...

In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and in which order. Shelf space is very expensive real estate in retail.

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

AI agents are now placing trades on prediction markets through the same APIs that human developers use, and regulators are scrambling to keep pace. Platforms like Kalshi and Polymarket have built ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

When you're trying to get the best performance out of Python, most developers immediately jump to complex algorithmic fixes, using C extensions, or obsessively running profiling tools. However, one of ...

Discover 15 future-proof skills that AI can't replace, from data analysis to emotional intelligence, ensuring your career stays relevant.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.