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Artificial Intelligence tools shed light on millions of proteins

Researchers have constructed an interactive network of 53 million proteins with AlphaFold structures.
02 October 2023, by

AIhub monthly digest: September 2023 – uncovering concepts in deep-learning models, pollinator policies, and all questions answered

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
28 September 2023, by

Which strategies for supporting pollinators?

How can Bayesian Networks be used to inform pollinator abundance strategies?
26 September 2023, by

Test-time adaptation with slot-centric models

Improving out-of-distribution scene decomposition accuracy.
25 September 2023, by

Your right to be forgotten in the age of AI

New models, like ChatGPT, are being trained in ways that make it hard to forget users’ data, raising significant concerns for our privacy online.
22 September 2023, by

Machine learning can level the playing field against match fixing – helping regulators spot cheating

A machine learning model for detecting questionable behaviour and unusual outcomes in basketball games.
21 September 2023, by


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AI-narrated audiobooks are here – and they raise some serious ethical questions

What does this new technology mean for the industry, and for human actors?
18 September 2023, by

Training diffusion models with reinforcement learning

We show how diffusion models can be trained on downstream objectives directly using reinforcement learning.
15 September 2023, by

High-tech microscope with ML software for detecting malaria in returning travellers

Method not as accurate as human experts, but shows promise.
13 September 2023, by

Prompt engineering: is being an AI ‘whisperer’ the job of the future or a short-lived fad?

As generative AI settles into the mainstream, growing numbers of courses and certifications are promising entry into the “hot job” of prompt engineering.
08 September 2023, by

AI helps robots manipulate objects with their whole bodies

With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.
06 September 2023, by

How sure is sure? Incorporating human error into machine learning

Researchers are developing a way to incorporate uncertainty into machine learning systems.
04 September 2023, by

AIhub monthly digest: August 2023 – ML for biological research, methods in computational creativity, and conferences galore

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
30 August 2023, by

#ICML2023 invited talk: Shakir Mohamed on ML with social purpose

We summarise the invited talk by Shakir Mohamed at the recent International Conference on Machine Learning.
29 August 2023, by

Three ways AI is transforming music

How will AI systems affect human musicians?
24 August 2023, by

Using quantum computing to protect AI systems from attack

AI systems can be fooled into making mistakes, sometimes risking lives, but quantum computing could provide a defence.

Artificial intelligence helps elucidate the precise spatial structure of complex chiral molecules

Combining a genetic algorithm and hierarchical clustering to analyse chiroptical spectra.
15 August 2023, by

A ‘black box’ AI system has been influencing criminal justice decisions for over two decades – it’s time to open it up

Melissa Hamilton and Pamela Ugwudike investigate the use of automated decision-making systems in courts and prisons.
11 August 2023, by

#ICML2023 invited talk: Jennifer Doudna on machine learning for biological research

We summarise the invited talk from Nobel Prize winner Jennifer Doudna.
09 August 2023, by

Machine learning enhances X-ray imaging of nanotextures

Combining high-powered X-rays, phase-retrieval algorithms and machine learning for imaging of thin films.
08 August 2023, by

The flawed algorithm at the heart of Robodebt

Robodebt teaches us that even simple automated decision-making systems come with the biases of the people, systems and policies that conceive them.

On the stepwise nature of self-supervised learning

Presenting a mathematical picture of the training process of large-scale SSL methods.
01 August 2023, by

AIhub monthly digest: July 2023 – RoboCup, predicting dynamics of supercooled liquids, and a visually-grounded speech model

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
28 July 2023, by

“Open” alternatives to ChatGPT are on the rise, but how open is AI really?

Insight into training data and algorithms is key for responsible use of generative AI.
25 July 2023, by

Navigating to objects in the real world

Research shows that modular learning is a reliable approach to navigate to objects.
24 July 2023, by

Studying plant-climate relationships using machine learning

Machine learning can help extract important information from the huge number of plant specimens stored in herbaria.

If AI image generators are so smart, why do they struggle to write and count?

Exploring the underlying reasons helps sheds light on the complex numerical nature of AI systems, and the nuance of their capabilities.
17 July 2023, by

Generating 3D molecular conformers via equivariant coarse-graining and aggregated attention

Introducing a variational encoder for molecular conformer generation.
14 July 2023, by

AIhub monthly digest: June 2023 – combining learning and reasoning, physics from videos, and the EU AI act

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
28 June 2023, by

GPT-4 + Stable-Diffusion = ?: Enhancing prompt understanding of text-to-image diffusion models with large language models

Our LLM-grounded model delivers improved prompt understanding in cases including negation, numeracy, and spatial relationships.
26 June 2023, by







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