The Good Robot Podcast: Melissa Heikkilä on why the stories we tell about AI matter

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

Large language models validate misinformation, according to research

“Legal AI is a bit of a Wild West right now”

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

Interview with Bo Li: A comprehensive assessment of trustworthiness in GPT models

Forthcoming machine learning and AI seminars: January 2024 edition

The Good Robot Podcast: Rebecca Woods on large language models, language and meaning

The Machine Ethics podcast: Avoidable misery with Adam Braus

Crowdsourced clustering via active querying

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

Theoretical remarks on feudal hierarchies and reinforcement learning

We and AI free online course “Living with AI” is back – tell your friends!

On noisy evaluation in federated hyperparameter tuning

Interview with Changhoon Kim – enhancing the reliability of image generative AI

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

Generating physically-consistent local-scale climate change projections

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

The Truth about AI – 2023 Royal Institute Christmas Lectures with Mike Wooldridge

Interview with Christopher Chandler: closed-loop robot reactive planning

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

Ghostbuster: detecting text ghostwritten by large language models

AIhub interview highlights 2023

2023 was the year of generative AI. What can we expect in 2024?

The Good Robot Podcast: featuring Jess Wade on rewriting Wikipedia

AI holidays 2023

The Machine Ethics Podcast: Work, wellness and creativity with Harriet Pellereau

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

AIhub blogpost highlights 2023

#NeurIPS2023 in tweets – part two

Deep learning model to help detect plastic in oceans

Asymmetric certified robustness via feature-convex neural networks

#NeurIPS2023 in tweets – part one

#NeurIPS2023 outstanding papers

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

What’s coming up at #NeurIPS2023?

Interview with Paula Feldman: generating 3d models of blood vessels

Experimenting with generative AI in the classroom

The Wizard of AI – a film by Alan Warburton

Forthcoming machine learning and AI seminars: December 2023 edition

Call for AI-themed holiday videos, art, poems and more

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

An introduction to science communication at #NeurIPS2023

Co-creating better images of AI

The power of collaboration: power grid control with multi-agent reinforcement learning

Goal representations for instruction following

A comprehensive survey on rare event prediction

Better images of AI can support AI literacy for more people

The Machine Ethics Podcast: the state of AI ethics with Alice Thwaite

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

Deep learning model trained to identify least green homes

Counterfactuals in explainable AI: interview with Ulrike Kuhl

The Good Robot Podcast: featuring Giada Pistilli on good corporations, AI ethics and value pluralism

CLAIRE and euRobotics join forces on European AI “moonshot” proposal

Pre-trained language models for music captioning and query response

Forthcoming machine learning and AI seminars: November 2023 edition

Few-shot learning for medical image analysis

Utilizing generative adversarial networks for stable structure generation in Angry Birds

AI Fringe – watch on demand

A critical survey towards deconstructing sentiment analysis: Interview with Pranav Venkit and Mukund Srinath

AIhub coffee corner: Regulation of AI

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

Executive order on safe, secure, and trustworthy artificial intelligence

A deep learning model for identifying disease and risk factor biomarkers

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

#IJCAI2023 distinguished paper: Interview with Maurice Funk – knowledge bases and querying

New technique helps robots pack objects into a tight space

Code to Joy: Why Everyone Should Learn a Little Programming – Interview with Michael Littman

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

World’s biggest bat colony gathers in Zambia every year: we used artificial intelligence to count them

#ECAI2023 outstanding paper: Interview with Xuan Liu – multi-agent sparse reward tasks

Interview with Aylin Caliskan: AI, bias, and ethics

The Machine Ethics Podcast: Art and AI collaboration with Sarah Brin

Enhancing AI robustness for more secure and reliable systems

#IROS2023 awards finalists and winners + IROS on Demand free for one year

Researching more data efficient machine learning models

#IJCAI2023 distinguished paper – Safe reinforcement learning via probabilistic logic shields

Interview with Marek Šuppa: insights into RoboCupJunior

Forthcoming machine learning and AI seminars: October 2023 edition

Congratulations to the #ECAI2023 outstanding paper award winners

A neural network method for satellite anomaly detection

#ECAI2023 in tweets

The Good Robot Podcast: featuring Hayleigh Bosher on generative AI, creativity, and what AI means for the music industry

Artificial Intelligence tools shed light on millions of proteins

2023 AI Song Contest entries online

AIhub monthly digest: September 2023 – uncovering concepts in deep-learning models, pollinator policies, and all questions answered

CLAIRE AQuAs to return in autumn with trending AI topics. Join in!

Which strategies for supporting pollinators?

Test-time adaptation with slot-centric models

Your right to be forgotten in the age of AI

Machine learning can level the playing field against match fixing – helping regulators spot cheating

The Good Robot Podcast: featuring Meredith Broussard

Exploring layers in deep learning models: interview with Mara Graziani

AI-narrated audiobooks are here – and they raise some serious ethical questions

Training diffusion models with reinforcement learning

High-tech microscope with ML software for detecting malaria in returning travellers

Forthcoming machine learning and AI seminars: September 2023 edition

Prompt engineering: is being an AI ‘whisperer’ the job of the future or a short-lived fad?

AI helps robots manipulate objects with their whole bodies

How sure is sure? Incorporating human error into machine learning

Proceedings from #AIES2023 now available

The Good Robot Podcast: featuring Mar Hicks on the unexpected history of computing

AIhub monthly digest: August 2023 – ML for biological research, methods in computational creativity, and conferences galore

#ICML2023 invited talk: Shakir Mohamed on ML with social purpose

#IJCAI2023 in tweets: part 2

Three ways AI is transforming music

Congratulations to the winners of the the #IJCAI2023 distinguished paper awards

Using quantum computing to protect AI systems from attack

#IJCAI2023 in tweets: part 1

#AIES2023 – panel discussion on large language models

What’s on the programme at #IJCAI2023?

A list of resources, articles, and opinion pieces relating to large language models – August 2023 update

Artificial intelligence helps elucidate the precise spatial structure of complex chiral molecules

#AIES2023 tweet round-up

A ‘black box’ AI system has been influencing criminal justice decisions for over two decades – it’s time to open it up

Investigating fairness in machine learning with Na Zou

#ICML2023 invited talk: Jennifer Doudna on machine learning for biological research

Machine learning enhances X-ray imaging of nanotextures

Forthcoming machine learning and AI seminars: August 2023 edition

Hollywood strike: Is AI really a threat to actors?

The flawed algorithm at the heart of Robodebt

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

On the stepwise nature of self-supervised learning