Category Archive

By Mihir Prabhudesai TLDR: If you are compute-constrained, use autoregressive models; if you are data-constrained, use diffusion models. Motivation Progress in AI over the past decade has largely been driven by scaling compute and data. The recipe from GPT-1 to GPT-5 has appeared straightforward: train a larger model on more data, and the result is a more capable system. Scaling … Read More

This post contains a list of the AI-related seminars that are scheduled to take place between 3 October and 30 November 2025. All events detailed here are free and open for anyone to attend virtually. 3 October 2025 Automated Data Collection from Politically Restricted Social Media Platforms: Challenges and insights from China and Russia Speakers: Patrick Chester (Stevens Institute of … Read More

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we hear about the latest research on soccer ball detection, learn about energy-based transformers, find out about memory traces in reinforcement learning, and explore some potential solutions to the problems with … Read More

IBIT surpasses Deribit with $38B in Bitcoin options open interest, reshaping crypto markets. Wall Street’s rise in Bitcoin options brings tighter spreads, deeper liquidity, and less volatility. Deribit, now owned by Coinbase, stays popular with crypto-native traders despite losing the top spot. BlackRock’s iShares Bitcoin Trust has overtaken Coinbase’s Deribit as the leading platform for Bitcoin options, signaling a shift … Read More

A herbarium specimen of Cheiranthera linearis (commonly known as finger-flower), collected in 1912 by Edwin James Semmens, former principal of the Victorian School of Forestry. Image credit: University of Melbourne. By Robert Turnbull, The University of Melbourne and Joanne Birch, The University of Melbourne In 1770, after Captain Cook’s Endeavour struck the Great Barrier Reef and was held up for … Read More

Oleksandra Mukhachova & The Bigger Picture / Snapcat / Licenced by CC-BY 4.0 By Robyn Lowe and Edward Rochead This article had its genesis when co-author Ed’s dog, Sparkle, was treated for pneumonia in the summer of 2024. Ed, a mathematician and chair of the Alliance for Data Science Professionals, was intrigued by the surgery’s use of data in Sparkle’s … Read More

The Industrial League arena at RoboCup2025. RoboCup is an international scientific initiative with the goal of advancing the state of the art of intelligent robots, AI and automation. The annual RoboCup event took place from 15-21 July in Salvador, Brazil. The Logistics League forms part of the Industrial League and is an application-driven league inspired by the industrial scenario of … Read More

Lone Thomasky & Bits&Bäume / Digital Society Bell / Licenced by CC-BY 4.0 By Peyton McCauley, University of Wisconsin-Milwaukee and Melissa Scanlan, University of Wisconsin-Milwaukee As demand for artificial intelligence technology boosts construction and proposed construction of data centers around the world, those computers require not just electricity and land, but also a significant amount of water. Data centers use … Read More

Should AI continue to be driven by a single paradigm, or does real progress lie in combining the strengths and weaknesses of many? Professor Luc De Raedt of KU Leuven has spent much of his career persistently addressing this question. Through pioneering work that bridges logic, probability, and machine learning, he has helped shape the field of neurosymbolic AI. In … Read More

The Association for the Advancement of Artificial Intelligence (AAAI) is calling for submissions to a competition for educational AI videos for general audiences. These videos must be two to three minutes in length and should aim to convey informative, accurate, and timely information about AI research and applications. The video could highlight your own research, that of another researcher or … Read More