AI & ML Research 24 Hours

Last updated: July 29, 2026, 11:51 AM ET

AI & ML Research

LLM Performance and Cost

Researchers benchmarked energy of running large language models locally on Apple Silicon, measuring real-world electricity consumption for five different models. The findings revealed surprising energy demands, with sustained generation leading to significant power draw. This analysis provides concrete data for understanding the operational expenses of deploying LLMs outside of cloud environments.

Algorithmic Optimization

A new heuristic approach using Adaptive Large Neighborhood Search (ALNS) implemented in Python. This method addresses complex constraints including time windows, capacity limitations, and mandatory driver breaks, offering a practical solution for optimizing vehicle routing in logistics.

Data Management for AI

A deep dive series in data lakes, beginning with normalization techniques. The initial article outlines building a high-frequency streaming pipeline against a live public API from the citizen-science IoT network, open Sense Map, focusing on robust data handling for AI applications. Meanwhile, discussions on the AI Hype Index, suggesting a need to focus on more practical, less hyped applications of artificial intelligence.