ΑΙhub.org
Our monthly digest now available in video form
Welcome to our monthly digest in video form. Here, we present some of the AI research stories, events and news from the month past. These all featured in our text version of the monthly digest, which we published last week.
This month, we cover our new series New voices in AI, find out about bug bounties, and celebrate an arXiv milestone.
Read the January 2022 monthly digest here.
Find our back catalogue of monthly digests here.
To suggest research, news, events or other AI-related content that we should feature in the next digest, please do drop us an email.
Lucy Smith
is Senior Managing Editor for AIhub.
Lucy Smith
is Senior Managing Editor for AIhub.
AUAI is supported by:
Related posts :
Cybersecurity, evolutionary game theory, and AI safety: an interview with Adeela Bashir
Lucy Smith
09 Oct 2026
In the latest of our interviews with the IJCAI-ECAI 2026 doctoral consortium participants, we learn about how cybersecurity attack and defence behaviours evolve.
2026 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
Lucy Smith
08 Oct 2026
We collate our interviews with the 2026 cohort of doctoral consortium participants.
Machine learning for clinical time-series forecasting: an interview with Mayra Elwes
Lucy Smith
07 Oct 2026
Our series hearing from the IJCAI-ECAI doctoral consortium participants continues.
Can you teach yourself to detect AI writing? Maybe
The Conversation
06 Oct 2026
Before generative AI, we could generally assume that written text had been composed by a human. This is no longer the case. So how can we spot AI-written text?
Interview with William Yijiang Li: vision language models and the physical world
Lucy Smith
05 Oct 2026
How effective are vision language models at understanding how the physical world changes over time?
Forthcoming machine learning and AI seminars: October 2026 edition
Lucy Smith
02 Oct 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.
Rebuilding the brain with neuromorphic computing: an interview with Oliver Rhodes
Ella Scallan
01 Oct 2026
Neuromorphic computing takes inspiration from biology to build faster, more energy efficient systems.
Neurosymbolic planning using natural language communication for cooperative autonomous vehicles
Read about work that was nominated for the AAMAS 2026 best paper award.
