Neel Somani Investigates How Artificial Intelligence May Help Verify Mathematical Research

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.
Security Boulevard

Airtable’s 500K Row Limit Is Not a Scalability Fix, It’s a Signal to Rethink Your Data Strategy

Airtable’s new 500,000-row limit is making headlines, but it is not a true scalability upgrade. It is a signal. A signal that many teams are...Read More The post Airtable’s 500K Row Limit Is Not a ...
eWeek

Agentic AI Is Set to Dominate in 2026: Get Ready for the Revolution

AI is moving from copilots to autonomous systems, and enterprises need infrastructure built for that shift. The Dell AI Factory with NVIDIA delivers a validated, end-to-end AI stack spanning ...
Associated Press

As electricity costs rise, everyone wants data centers to pick up their tab. But how?

Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. A data center owned by Amazon Web Services, front ...
Construction Dive

The new estimator: How AI validation is elevating the preconstruction role

The construction estimating profession stands at an inflection point. Within the next five years, the primary role of cost estimators will fundamentally shift from generating estimates to validating ...
Morningstar

New Data From Fred Victor Finds Half of Canadians Have Normalized Homelessness

New data from Fred Victor, a registered charity and leader in ending homelessness in Toronto, found that half of Canadians (49%) agree that homelessness has become so common in their community it’s ...
Bridge Magazine

Data centers eyed in at least 10 Michigan towns. How they might change state

Construction equipment and temporary fencing have already cropped up on the Saline Township farm that is now the planned site of Michigan’s first hyperscale data center. (Joel Kurth/Bridge Michigan) ...
VentureBeat

AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
C&EN

dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...
GitHub

change - Python - normalize dependencies loading in Python

This code improvement normalizes and cleans up the way libraries are loaded at the Python level by ensuring all TrackMe Python back ends call the centralised import_declare_test. This Python logic ...
InfoWorld

Databot: AI-assisted data analysis in R or Python

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...