Category Archive

In their paper Policy Design for Two-sided Platforms with Participation Dynamics, which was presented at ICML 2025, Haruka Kiyohara, Fan Yao and Sarah Dean investigated the the participation dynamics in two-sided markets. In this interview, Haruka tells us more about such two-sided platforms, the main contributions of the work, and the experiments carried out to test the method. What is … Read More

Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society. What excites you about AI? Vol.2 This is a bonus episode looking back over answers to our question: What excites you about AI? This episode features … Read More

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Janice Anta Zebaze is using AI to address energy supply challenges and she told us more about the research she’s carried our so far, her plans for further investigations, and what inspired her to pursue a PhD in the field. … Read More

Hanna Barakat & Cambridge Diversity Fund / Data Lab Dialogue / Licenced by CC-BY 4.0 By Brian W. Stone, Boise State University When OpenAI released “study mode” in July 2025, the company touted ChatGPT’s educational benefits. “When ChatGPT is prompted to teach or tutor, it can significantly improve academic performance,” the company’s vice president of education told reporters at the … Read More

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity recognition using wearable sensors. We caught up with Zahra to find out more about this research, the aspects she has found most interesting, and her advice for prospective PhD students. Tell us … Read More

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