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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.
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Related posts :
Healthcare benchmarks are only as good as their assumptions
ML@CMU
03 Aug 2026
In healthcare settings where patients use LLMs as a medical assistant, LLM performance differs between evaluation and deployment.
Engineering Out Loud: S13E2 – Ethics in AI presentation
Engineering Out Loud
31 Jul 2026
Hear from Oregon State University researchers Houssam Abbas and Alicia Patterson.
Humans trained to spot AI faces in the battle against deepfake fraud
Australian National University (ANU)
30 Jul 2026
Researchers trained people to spot AI-generated faces by drawing their attention to six perceptual qualities.
monthly digest
AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action
Lucy Smith
29 Jul 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
OpenAI’s models autonomously hacked a tech startup. It signals a seismic shift in cybersecurity
The Conversation
28 Jul 2026
An autonomous agent powered by OpenAI’s went rogue during a security test and hacked multi-billion dollar tech startup, Hugging Face.
Towards experiment-guided AlphaFold
Institute of Science and Technology Austria
27 Jul 2026
Researchers enhance Nobel Prize-winning structural prediction model.
AI listens in to help protect wildlife
Horizon
24 Jul 2026
Scientists are using AI systems to help track species and spot ecosystem changes.
How can we characterize consensus in a network of agents?
Nicolas Schwind
23 Jul 2026
Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.
