ΑΙhub.org

articles


#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

Pre-trained language models for music captioning and query response

Working towards a system that provides descriptions of the music you are listening to.
10 November 2023, by

Few-shot learning for medical image analysis

Is few-shot learning the gateway to integrating AI into medicine for good? Let's explore the current state of the art.
08 November 2023, by and

Utilizing generative adversarial networks for stable structure generation in Angry Birds

An approach for generating stable structures in the popular physics-based puzzle game.
07 November 2023, by and

AIhub monthly digest: October 2023 – probabilistic logic shields, a responsible journalism toolkit, and what the public think about AI

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

A deep learning model for identifying disease and risk factor biomarkers

A data-driven deep learning biomarker discovery workflow.
30 October 2023, by

AAAI Fall Symposium: Patrícia Alves-Oliveira on human-robot interaction design

We summarise the first keynote from the symposium on artificial intelligence for human-robot interaction.
27 October 2023, by

New technique helps robots pack objects into a tight space

Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
25 October 2023, by

UK needs AI legislation to create trust so companies can ‘plug AI into British economy’ – report

Legislation regulating AI safety and transparency is needed, say researchers, so British industry and education can put resources into AI development with confidence.
23 October 2023, by

Enhancing AI robustness for more secure and reliable systems

A formulation for strengthening ML systems against adversarial attacks.
16 October 2023, by

Researching more data efficient machine learning models

Building reliable machine learning models that can understand complex equations in real-world situations while using less training data than expected
12 October 2023, by






AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association