AIhub monthly digest: February 2024 – causal relations in text, applied reinforcement learning, and AAAI 2024

#AAAI2024 in tweets: part two

Unlocking the potential of entity-centric knowledge graphs: transforming healthcare and beyond

Congratulations to the #AAAI2024 outstanding paper winners

#AAAI2024 in tweets: part one

Congratulations to the #AAAI2024 award winners

How to speak to the public about AI – a Michael Wooldridge talk at #AAAI2024 today

Interview with Célian Ringwald: Natural language processing and knowledge graphs

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

Datalike: Interview with Pratibha V Shambhangoudar

What’s coming up at #AAAI2024?

Interview with Elizabeth Ondula: Applied reinforcement learning

Forthcoming machine learning and AI seminars: February 2024 edition

The Good Robot Podcast: Featuring Emily M. Bender and Alex Hanna

Long-term monitoring of bird flocks in the wild – interview with Kshitiz

RoboChem: a platform for optimising photochemical processes

A list of resources, articles, and opinion pieces relating to generative AI models – February 2024 update

Researchers train robotic sensor to read braille at high speed

Chameleon AI program classifies objects in satellite images faster

Interview with Fiona Anting Tan: Researching causal relations in text

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