AI & ML Research 24 Hours

Last updated: August 10, 2026, 6:10 AM ET

AI for Science

AI for science needs reasoning, not just data, argues a recent MIT Technology Review piece, noting that claims of science being “finished” are cyclical.

LLM Engineering

Startups are chasing next-generation LLM architectures, as covered in MIT Technology Review’s series. Meanwhile, a practitioner on Towards Data Science explains that loading data is only the starting point, using dbt to achieve analysis-ready data. Another article details how to implement structured output with local LLMs, including why and how to handle failures.