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AI will let us read ‘lost’ ancient works in the library at Herculaneum for the first time

First passages of rolled-up Herculaneum scroll revealed.
19 February 2024, by

RoboChem: a platform for optimising photochemical processes

Chemists at the University of Amsterdam have developed an autonomous chemical synthesis robot with an integrated machine learning unit.
07 February 2024, by

Researchers train robotic sensor to read braille at high speed

Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of most human readers.
05 February 2024, by

Chameleon AI program classifies objects in satellite images faster

Programme uses just a handful of images to rapidly characterize new objects like ocean debris, deforestation zones, and urban areas.
02 February 2024, by

AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
30 January 2024, by

Large language models validate misinformation, according to research

Systematic testing of OpenAI’s GPT-3 reveals that question format can influence models to agree with misinformation
29 January 2024, by


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We used AI and satellite imagery to map ocean activities that take place out of sight, including fishing, shipping and energy development

A study combines satellite images, vessel GPS data and AI to reveal human industrial activities across the ocean
25 January 2024, by

Crowdsourced clustering via active querying

Find out more about crowdsourcing clustering, work which was presented at HCOMP 2023.
18 January 2024, by , and

#NeurIPS2023 invited talk: Lora Aroyo on data quality and diversity

Data labelling requires raters to make binary decisions when things are often not that simple. What can experiments tell us about the annotation process?
17 January 2024, by

Theoretical remarks on feudal hierarchies and reinforcement learning

Read about work that won an ECAI 2023 outstanding paper award.
16 January 2024, by

On noisy evaluation in federated hyperparameter tuning

Our work explores key sources of noise and shows that even small amounts of noise can have a significant impact on tuning methods.
12 January 2024, by

#NeurIPS2023 invited talk: Linda Smith on young humans and self-generated experience

In her invited talk, Linda Smith spoke about research monitoring young babies and how the findings could inform ML research.
10 January 2024, by

Generating physically-consistent local-scale climate change projections

Find out more about work presented at the AAAI 2023 Fall Symposium.
09 January 2024, by

Agent Teaming in Mixed-Motive Situations – an AAAI Fall symposium

Read some of the highlights of this symposium from one of the organisers.
08 January 2024, by

Image recognition accuracy: An unseen challenge confounding today’s AI

“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
03 January 2024, by

Ghostbuster: detecting text ghostwritten by large language models

We introduce Ghostbuster, a method for detecting AI-generated text.
02 January 2024, by

AI holidays 2023

Here's a sample of AI-themed holiday videos, images, and stories to get you into the spirit this season.
22 December 2023, by

AIhub monthly digest: December 2023 – attending NeurIPS, generating 3d models of blood vessels, and the Wizard of AI

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

AIhub blogpost highlights 2023

As the year draws to a close, we take a look back at some of our favourite blog posts.
19 December 2023, by

Deep learning model to help detect plastic in oceans

Researchers present a model that recognises floating plastics in satellite images. This could help to systematically remove plastic litter from the oceans with ships.
15 December 2023, by

Asymmetric certified robustness via feature-convex neural networks

We propose the asymmetric certified robustness problem, which requires certified robustness for only one class and reflects real-world adversarial scenarios.
14 December 2023, by

Assured and Trustworthy Human-centered AI – an AAAI Fall symposium

Read some of the highlights from the Assured and Trustworthy Human-centered AI symposium.
08 December 2023, by , and

AIhub monthly digest: November 2023 – deconstructing sentiment analysis, few-shot learning for medical images, and Angry Birds structure generation

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

Co-creating better images of AI

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.
27 November 2023, by

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

How can we reconcile the ease of specifying tasks through natural language-based approaches with the performance improvements of goal-conditioned learning?
23 November 2023, by

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

Marika Jonsson reflects on overcoming the challenge of developing an Easy Read book on AI with so few informative images available.
21 November 2023, by

An approach for automatically determining the possible actions in computer game states

Thoroughly testing video game software by hand is difficult. AI agents that can automatically explore different game functionalities are a promising alternative.
17 November 2023, by

Deep learning model trained to identify least green homes

AI model can help policymakers efficiently identify and prioritize houses for retrofitting and other decarbonizing measures.
16 November 2023, by







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