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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
University of Basel
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
Lucy Smith
Which strategies for supporting pollinators?
How can Bayesian Networks be used to inform pollinator abundance strategies?
26 September 2023, by
Martine Barons
Test-time adaptation with slot-centric models
Improving out-of-distribution scene decomposition accuracy.
25 September 2023, by
ML@CMU
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
CSIRO
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
The Conversation
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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
The Conversation
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
BAIR blog
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
Frontiers Science News
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
The Conversation
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
MIT News
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
University of Cambridge
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
Lucy Smith
#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
Lucy Smith
Three ways AI is transforming music
How will AI systems affect human musicians?
24 August 2023, by
The Conversation
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.
22 August 2023, by
Pursuit, University of Melbourne
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
University of Amsterdam
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
The Conversation
#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
Lucy Smith
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
Cornell University
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.
03 August 2023, by
Pursuit, University of Melbourne
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
BAIR blog
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
Lucy Smith
“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
Radboud University
Navigating to objects in the real world
Research shows that modular learning is a reliable approach to navigate to objects.
24 July 2023, by
ML@CMU
Studying plant-climate relationships using machine learning
Machine learning can help extract important information from the huge number of plant specimens stored in herbaria.
19 July 2023, by
University of New South Wales
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
The Conversation
Generating 3D molecular conformers via equivariant coarse-graining and aggregated attention
Introducing a variational encoder for molecular conformer generation.
14 July 2023, by
BAIR blog
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
Lucy Smith
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
BAIR blog
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