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Unlocking the potential of entity-centric knowledge graphs: transforming healthcare and beyond
Christos Theodoropoulos and Leuven.AI Stories
27 Feb 2024
The concept of entity-centric knowledge graphs holds promise in reshaping how we organize, access, and leverage data.
AI will let us read ‘lost’ ancient works in the library at Herculaneum for the first time
The Conversation
19 Feb 2024
First passages of rolled-up Herculaneum scroll revealed.
RoboChem: a platform for optimising photochemical processes
University of Amsterdam
07 Feb 2024
Chemists at the University of Amsterdam have developed an autonomous chemical synthesis robot with an integrated machine learning unit.
Researchers train robotic sensor to read braille at high speed
University of Cambridge
05 Feb 2024
Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of most human readers.
Chameleon AI program classifies objects in satellite images faster
EPFL
02 Feb 2024
Programme uses just a handful of images to rapidly characterize new objects like ocean debris, deforestation zones, and urban areas.
monthly digest
AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models
Lucy Smith
30 Jan 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Large language models validate misinformation, according to research
University of Waterloo
29 Jan 2024
Systematic testing of OpenAI’s GPT-3 reveals that question format can influence models to agree with misinformation
We used AI and satellite imagery to map ocean activities that take place out of sight, including fishing, shipping and energy development
The Conversation
25 Jan 2024
A study combines satellite images, vessel GPS data and AI to reveal human industrial activities across the ocean
Crowdsourced clustering via active querying
Find out more about crowdsourcing clustering, work which was presented at HCOMP 2023.
#NeurIPS2023 invited talk: Lora Aroyo on data quality and diversity
Lucy Smith
17 Jan 2024
Data labelling requires raters to make binary decisions when things are often not that simple. What can experiments tell us about the annotation process?
Theoretical remarks on feudal hierarchies and reinforcement learning
Diogo Carvalho
16 Jan 2024
Read about work that won an ECAI 2023 outstanding paper award.
On noisy evaluation in federated hyperparameter tuning
ML@CMU
12 Jan 2024
Our work explores key sources of noise and shows that even small amounts of noise can have a significant impact on tuning methods.
#NeurIPS2023 invited talk: Linda Smith on young humans and self-generated experience
Lucy Smith
10 Jan 2024
In her invited talk, Linda Smith spoke about research monitoring young babies and how the findings could inform ML research.
Generating physically-consistent local-scale climate change projections
Jose González-Abad
09 Jan 2024
Find out more about work presented at the AAAI 2023 Fall Symposium.
Agent Teaming in Mixed-Motive Situations – an AAAI Fall symposium
Suresh Kumaar Jayaraman
08 Jan 2024
Read some of the highlights of this symposium from one of the organisers.
Image recognition accuracy: An unseen challenge confounding today’s AI
MIT News
03 Jan 2024
“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
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.
