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Adaptive parallel reasoning: the next paradigm in efficient inference scaling
BAIR blog
02 Jul 2026
A detailed analysis of recent progress in the field of parallel reasoning.
Scientists develop new method to generate protein datasets for training AI
Rice University
01 Jul 2026
AI is only as good as the data used to train it, and in some areas of protein engineering, the right data is hard to come by.
AI model used to generate complete models of proteins in motion
EPFL
26 Jun 2026
Researchers have used a neural network to create all-atom models of proteins, as well as the dynamic movements that govern their function.
Three ways to avoid being fooled by AI slop
The Conversation
24 Jun 2026
Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong.
Everything, eco-where, AI at once?
Laura Martínez Agudelo and Better Images Of AI
19 Jun 2026
Laura Martinez Agudelo builds on her research of visual representations of ecology and digitalisation to explore how "AI eco-imagery" is portrayed.
AI is making journalistic language more repetitive and predictable – and it’s a problem for all of us
The Conversation
17 Jun 2026
What happens to language when a growing amount of text published in the press, online and on social media is written by machines?
monthly digest
AIhub monthly digest: June 2026 – biodiversity, resource allocation, and color metaphors
Ella Scallan
16 Jun 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Statistical or embodied? Comparing people and LLMs in their processing of color metaphors: an interview with Douglas Guilbeault
Ella Scallan
09 Jun 2026
We learn what implications color metaphors and synaesthesia have for human and AI cognition.
Design tweaks promote responsible AI use for environmental protection, research shows
Oregon State University
03 Jun 2026
Systems that ask users to pause to consider AI’s energy consumption and environmental impacts are likely to reduce unnecessary AI use
An AI solution to an 80‑year‑old problem has shocked mathematicians
The Conversation
02 Jun 2026
An OpenAI model has been used to find a counterexample to a famous conjecture made by legendary Hungarian mathematician Paul Erdős.
monthly digest
AIhub monthly digest: May 2026 – AI for science, the lottery ticket hypothesis, and world models
Lucy Smith
28 May 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
You probably wouldn’t notice if an AI chatbot slipped ads into its responses
The Conversation
27 May 2026
Research suggests AI chatbots could easily be used for covert advertising to manipulate their human users.
Why the world’s banks are so worried about Anthropic’s latest AI model
The Conversation
21 May 2026
The finance world’s concern rests on the impressive cyber capabilities of a product called Mythos.
Embracing empiricism – from the lottery hypothesis to creating real-world impact: an interview with Jonathan Frankle
Ella Scallan
20 May 2026
Jonathan Frankle discusses empiricism, making an impact, and the legacy of his lottery ticket hypothesis.
A faster way to estimate AI power consumption
MIT News
19 May 2026
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
Introducing ARFBench: A time series question-answering benchmark based on real incidents
ML@CMU
18 May 2026
To resolve system failures, engineers must troubleshoot outages quickly.
Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?
The Conversation
15 May 2026
As the capacity of AI systems increases apace, so do concerns about the privacy of user data.
Reflections from #AIES2025
Ella Scallan and Lucy Smith
14 May 2026
We reflect on AIES 2025, outlining a discussion session on LLMs for clinical usage and human rights.
Deep learning-powered biochip to detect genetic markers
Nanyang Technological University, Singapore
13 May 2026
System can detect extremely small amounts of microRNAs, genetic markers linked to diseases such as heart disease.
Half of AI health answers are wrong even though they sound convincing – new study
The Conversation
12 May 2026
Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot.
Gradient-based planning for world models at longer horizons
BAIR blog
11 May 2026
What were the problems that motivated this project and what was the approach to address them?
It’s tempting to offload your thinking to AI. Cognitive science shows why that’s a bad idea
The Conversation
08 May 2026
Increased offloading to new tools has raised the fear that people will become overly reliant on AI.
AI for Science – from cosmology to chemistry
Ella Scallan
01 May 2026
How AI is transforming science, from a day conference at the Royal Society
monthly digest
AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis
Lucy Smith
30 Apr 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
#AAAI2026 invited talk: Yolanda Gil on improving workflows with AI
Lucy Smith
28 Apr 2026
Former AAAI president on using AI to help communities of scientists better streamline their research.
As a ‘book scientist’ I work with microscopes, imaging technologies and AI to preserve ancient texts
The Conversation
23 Apr 2026
Using an array of technologies to recover, understand and preserve many valuable ancient texts.
A model for defect identification in materials
MIT News
20 Apr 2026
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.
‘Probably’ doesn’t mean the same thing to your AI as it does to you
The Conversation
17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?
Water flow in prairie watersheds is increasingly unpredictable — but AI could help
The Conversation
13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.
Identifying interactions at scale for LLMs
BAIR blog
10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.
#AAAI2026 invited talk: machine learning for particle physics
Lucy Smith
01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest
AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup
Lucy Smith
31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Information-driven design of imaging systems
BAIR blog
23 Mar 2026
Framework that enables direct evaluation and optimization of imaging systems based on their information content.
Machine learning framework to predict global imperilment status of freshwater fish
Oregon State University
20 Mar 2026
“With our model, decision makers can deploy resources in advance before a species becomes imperiled.”
A principled approach for data bias mitigation
Bruno Scarone
18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.
An AI image generator for non-English speakers
University of Amsterdam
17 Mar 2026
"Translations lose the nuances of language and culture, because many words lack good English equivalents."
