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Ghostbuster: detecting text ghostwritten by large language models
BAIR blog
02 Jan 2024
We introduce Ghostbuster, a method for detecting AI-generated text.
AI holidays 2023
Lucy Smith
22 Dec 2023
Here's a sample of AI-themed holiday videos, images, and stories to get you into the spirit this season.
monthly digest
AIhub monthly digest: December 2023 – attending NeurIPS, generating 3d models of blood vessels, and the Wizard of AI
Lucy Smith
20 Dec 2023
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
AIhub blogpost highlights 2023
Lucy Smith
19 Dec 2023
As the year draws to a close, we take a look back at some of our favourite blog posts.
Deep learning model to help detect plastic in oceans
EPFL
15 Dec 2023
Researchers present a model that recognises floating plastics in satellite images. This could help to systematically remove plastic litter from the oceans with ships.
Asymmetric certified robustness via feature-convex neural networks
BAIR blog
14 Dec 2023
We propose the asymmetric certified robustness problem, which requires certified robustness for only one class and reflects real-world adversarial scenarios.
Assured and Trustworthy Human-centered AI – an AAAI Fall symposium
Read some of the highlights from the Assured and Trustworthy Human-centered AI symposium.
monthly digest
AIhub monthly digest: November 2023 – deconstructing sentiment analysis, few-shot learning for medical images, and Angry Birds structure generation
Lucy Smith
29 Nov 2023
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Co-creating better images of AI
Better Images Of AI
27 Nov 2023
In July, 2023, Science Gallery London and the London Office of Technology and Innovation co-hosted a workshop helping Londoners think about the kind of AI they want.
The power of collaboration: power grid control with multi-agent reinforcement learning
A promising AI tool for assisting network operators in their real-time decision-making and operations
Goal representations for instruction following
BAIR blog
23 Nov 2023
How can we reconcile the ease of specifying tasks through natural language-based approaches with the performance improvements of goal-conditioned learning?
A comprehensive survey on rare event prediction
We review the rare event prediction literature and highlight open research questions and future directions in the field.
Better images of AI can support AI literacy for more people
Better Images Of AI
21 Nov 2023
Marika Jonsson reflects on overcoming the challenge of developing an Easy Read book on AI with so few informative images available.
An approach for automatically determining the possible actions in computer game states
Sasha Volokh
17 Nov 2023
Thoroughly testing video game software by hand is difficult. AI agents that can automatically explore different game functionalities are a promising alternative.
Deep learning model trained to identify least green homes
University of Cambridge
16 Nov 2023
AI model can help policymakers efficiently identify and prioritize houses for retrofitting and other decarbonizing measures.
Pre-trained language models for music captioning and query response
Yinghao Ma
10 Nov 2023
Working towards a system that provides descriptions of the music you are listening to.
Few-shot learning for medical image analysis
Eva Pachetti and Sara Colantonio
08 Nov 2023
Is few-shot learning the gateway to integrating AI into medicine for good? Let's explore the current state of the art.
Utilizing generative adversarial networks for stable structure generation in Angry Birds
Matthew Stephenson and Frederic Abraham
07 Nov 2023
An approach for generating stable structures in the popular physics-based puzzle game.
monthly digest
AIhub monthly digest: October 2023 – probabilistic logic shields, a responsible journalism toolkit, and what the public think about AI
Lucy Smith
31 Oct 2023
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
A deep learning model for identifying disease and risk factor biomarkers
Linköping University
30 Oct 2023
A data-driven deep learning biomarker discovery workflow.
AAAI Fall Symposium: Patrícia Alves-Oliveira on human-robot interaction design
Lucy Smith
27 Oct 2023
We summarise the first keynote from the symposium on artificial intelligence for human-robot interaction.
New technique helps robots pack objects into a tight space
MIT News
25 Oct 2023
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
UK needs AI legislation to create trust so companies can ‘plug AI into British economy’ – report
University of Cambridge
23 Oct 2023
Legislation regulating AI safety and transparency is needed, say researchers, so British industry and education can put resources into AI development with confidence.
World’s biggest bat colony gathers in Zambia every year: we used artificial intelligence to count them
The Conversation
20 Oct 2023
How AI methods are helping shed light on bat numbers.
Enhancing AI robustness for more secure and reliable systems
EPFL
16 Oct 2023
A formulation for strengthening ML systems against adversarial attacks.
Researching more data efficient machine learning models
University of Cambridge
12 Oct 2023
Building reliable machine learning models that can understand complex equations in real-world situations while using less training data than expected
#IJCAI2023 distinguished paper – Safe reinforcement learning via probabilistic logic shields
Wen-Chi Yang
11 Oct 2023
Find out more about shielding, a popular Safe Reinforcement Learning (Safe RL) technique that aims to keep an agent safe whilst finding an optimal policy.
A neural network method for satellite anomaly detection
University of Waterloo
05 Oct 2023
Researchers use AI to detect potential problems with satellites before they happen.
Artificial Intelligence tools shed light on millions of proteins
University of Basel
02 Oct 2023
Researchers have constructed an interactive network of 53 million proteins with AlphaFold structures.
monthly digest
AIhub monthly digest: September 2023 – uncovering concepts in deep-learning models, pollinator policies, and all questions answered
Lucy Smith
28 Sep 2023
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Which strategies for supporting pollinators?
Martine Barons
26 Sep 2023
How can Bayesian Networks be used to inform pollinator abundance strategies?
Test-time adaptation with slot-centric models
ML@CMU
25 Sep 2023
Improving out-of-distribution scene decomposition accuracy.
Your right to be forgotten in the age of AI
CSIRO
22 Sep 2023
New models, like ChatGPT, are being trained in ways that make it hard to forget users’ data, raising significant concerns for our privacy online.
Machine learning can level the playing field against match fixing – helping regulators spot cheating
The Conversation
21 Sep 2023
A machine learning model for detecting questionable behaviour and unusual outcomes in basketball games.
AI-narrated audiobooks are here – and they raise some serious ethical questions
The Conversation
18 Sep 2023
What does this new technology mean for the industry, and for human actors?
Training diffusion models with reinforcement learning
BAIR blog
15 Sep 2023
We show how diffusion models can be trained on downstream objectives directly using reinforcement learning.
