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Credit fairness: lending resources without losing out
Seyed Majid Zahedi and Rupert Freeman
14 Oct 2026
Studying the allocation of shared resources among agents with time-varying demands.
AI is distorting archaeology and flattening Indigenous Knowledge
Pursuit, University of Melbourne
21 Oct 2026
While AI can help archaeologists, it can also spread pseudoscientific claims and false histories, stripping Indigenous Knowledge of context, consent and community control.
ACM SIGAI Autonomous Agents Award 2027 open for nominations
ACM SIGAI
20 Oct 2026
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award.
AI is helping ease competition for scarce space on the airwaves
The Conversation
19 Oct 2026
Every time you make a phone call, stream a video or connect to Wi-Fi, your device is sending and receiving invisible signals through the air.
How AI is helping cities tackle invisible pollution
Horizon
16 Oct 2026
Researchers are designing AI-powered virtual cities to help authorities predict street-level pollution and act where it is needed most.
#AIES2026 social media round-up
AIhub
15 Oct 2026
Find out what participants got up to at the Conference on Artificial Intelligence, Ethics, and Society.
What’s on the programme at #AIES2026?
Lucy Smith
12 Oct 2026
The ninth conference on AI, ethics, and society is taking place in Malmö from 12-14 October.
Generative AI has changed mathematics forever. Where to from here?
The Conversation
12 Oct 2026
Large language models such as ChatGPT and Claude are creating disruptions in all parts of the mathematical community.
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.
monthly digest
AIhub monthly digest: September 2026 – tracking animal populations, recommender systems, and an interview with Ken Goldberg
Lucy Smith
29 Sep 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
AI-powered platforms uncover proteins that organise cellular compartments
Nanyang Technological University, Singapore
28 Sep 2026
Two platforms could enable researchers to more accurately predict proteins that undergo phase separation.
When compression techniques don’t just add up: Interaction effects in hybrid LLM compression
Iheb Bouriel
25 Sep 2026
New research finds that combining common LLM compression techniques doesn't just add up — sometimes it backfires, sometimes it surprises.
What’s coming up at #IROS2026?
Lucy Smith
24 Sep 2026
Find out what the International Conference on Intelligent Robots and Systems has in store.
IJCAI-ECAI 2026 tutorial / workshop round-up part 1
AIhub
23 Sep 2026
Find out more about two sessions on data-centric AI and a trustworthy agentic AI roadmap.
Optimizing sensor placement for estimating wildlife populations: an interview with Hannah Murray
Lucy Smith
22 Sep 2026
Find out more about work presented at IJCAI-ECAI 2026.
AAAI presidential panel – AI evaluation
Lucy Smith
21 Sep 2026
Watch the latest panel discussion in the series based on the Future of AI research report from AAAI.
Disappearing lakes and AI are helping scientists map Arctic permafrost thaw in near‑real time
The Conversation
18 Sep 2026
Researchers created an interactive website to track permafrost thaw across the Arctic.
How much can fair budget-division rules resist manipulation?
The authors write about their award-winning IJCAI-ECAI paper: "Approximate Strategyproofness in Approval-based Budget Division".
AI dives into a sea of data, from plankton to pollution
Horizon
16 Sep 2026
“Faster and cheaper monitoring means problems like plankton decline, litter accumulation, oil spills and coral degradation can be picked up and acted on sooner."
Interview with Yash Saxena: how is external knowledge used in AI systems?
Lucy Smith
15 Sep 2026
What happens to information from external sources as it moves through an AI system?
When AI art has no author: Study finds generated images often can’t be traced to training data
MIT News
14 Sep 2026
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
AI in nature conservation: powerful tool or dangerous shortcut?
The Conversation
11 Sep 2026
AI provides opportunity for future biodiversity conservation but introduces risks .
Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara
Lucy Smith
10 Sep 2026
Credit-assigned policy gradient for early stage retrieval in two-stage ranking.
The Machine Ethics podcast: Data Collective with E.M. Lewis-Jong
The Machine Ethics Podcast
09 Sep 2026
Ben chats to E.M. Lewis-Jong about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, and more.
