ΑΙhub.org

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

#AIES2023 tweet round-up

Find out what participants got up to at the conference on Artificial Intelligence, Ethics, and Society.
14 August 2023, by

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

Investigating fairness in machine learning with Na Zou

Na Zou talks about her plans to develop a data-centric fairness framework.
10 August 2023, by

#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

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


AIhub is supported by:







Forthcoming machine learning and AI seminars: August 2023 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 7 August and 30 September 2023.
07 August 2023, by

Hollywood strike: Is AI really a threat to actors?

Peter van der Putten talks about what AI systems mean for the future of actors and the film industry.
04 August 2023, by

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.

Researching interdisciplinary methods in computational creativity – interview with Nadia Ady and Faun Rice

Exploring where AI researchers find inspiration about human intelligence and what approaches they use to translate these ideas for work in AI.
02 August 2023, by

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

#ICML2023 tweet round-up

Find out what the participants at the International Conference on Machine Learning got up to during the week of the event.
31 July 2023, by

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

Interview with Roberto Figueiredo: the RoboCup experience

"Every time I go to RoboCup I come out thinking about what I’m going to do next. I couldn’t be more inspired."
27 July 2023, by

Congratulations to the #ICML2023 outstanding paper award winners

Six outstanding paper awards were given at this year's conference.
26 July 2023, by

“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

Navigating to objects in the real world

Research shows that modular learning is a reliable approach to navigate to objects.
24 July 2023, by

The Good Robot Hot Take: Detecting sexuality with AI is fake science

In this episode, hosts Eleanor Drage and Kerry Mackereth talk about a group of scientists that tried to measure a correlation between brain activity and sexuality using AI.
22 July 2023, by

What’s coming up at #ICML2023?

What does the programme of the International Conference on Machine Learning have in store?
20 July 2023, by

Studying plant-climate relationships using machine learning

Machine learning can help extract important information from the huge number of plant specimens stored in herbaria.

The Machine Ethics Podcast: featuring Nadia Piet

In this episode, Ben chats to Nadia Piet about design and AI.
18 July 2023, by

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

Generating 3D molecular conformers via equivariant coarse-graining and aggregated attention

Introducing a variational encoder for molecular conformer generation.
14 July 2023, by

The Good Robot Hot Take: Can AI de-bias hiring?

In this episode, hosts Eleanor Drage and Kerry Mackereth discuss AI use in the hiring process.
13 July 2023, by

All questions answered: Cybersecurity of AI and AI for Cybersecurity

Watch the recording of the latest CLAIRE AQuA event.
12 July 2023, by

Forthcoming machine learning and AI seminars: July 2023 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 11 July and 31 August 2023.
11 July 2023, by

#RoboCup2023 in tweets – part 2

We take a look at some of the highlights from the second half of the conference.
10 July 2023, by

#RoboCup2023 in tweets – part 1

Find out what the participants at RoboCup have been up to in Bordeaux.
07 July 2023, by

AIhub coffee corner: AI risks, pause letters and the ensuing discourse

The AIhub coffee corner captures the musings of AI experts over a short conversation.
06 July 2023, by

Interview with Leanne Nortje: Visually-grounded few-shot word learning

Find out how Leanne and colleagues are using a visually-grounded method to learn new words and their visual depictions, and how this can help low-resource languages.
05 July 2023, by







©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association