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

#ICML2023 tweet round-up

AIhub monthly digest: July 2023 – RoboCup, predicting dynamics of supercooled liquids, and a visually-grounded speech model

Interview with Roberto Figueiredo: the RoboCup experience

Congratulations to the #ICML2023 outstanding paper award winners

“Open” alternatives to ChatGPT are on the rise, but how open is AI really?

Navigating to objects in the real world

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

What’s coming up at #ICML2023?

Studying plant-climate relationships using machine learning

The Machine Ethics Podcast: featuring Nadia Piet

If AI image generators are so smart, why do they struggle to write and count?

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

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

All questions answered: Cybersecurity of AI and AI for Cybersecurity

Forthcoming machine learning and AI seminars: July 2023 edition

#RoboCup2023 in tweets – part 2

#RoboCup2023 in tweets – part 1

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

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

Exploring children’s rights and AI

What’s coming up at #RoboCup2023?

Studying art history to understand AI evolution

AIhub monthly digest: June 2023 – combining learning and reasoning, physics from videos, and the EU AI act

GPT-4 + Stable-Diffusion = ?: Enhancing prompt understanding of text-to-image diffusion models with large language models

Algorithms can be useful in detecting fake news, stopping its spread and countering misinformation

Interview with Simone Ciarella: using machine learning to study supercooled liquids

The Good Robot Podcast: Hot Takes!

European parliament approves draft EU AI act

Interview with Safa Alver: Scalable and robust planning in lifelong reinforcement learning

Researchers use AI to identify similar materials in images

Forthcoming machine learning and AI seminars: June 2023 edition

#ICRA2023 awards finalists and winners

The Good Robot Podcast: Hot Takes!

Congratulations to the #IJCAI2023 award winners

Bridging the gap between learning and reasoning

The Machine Ethics Podcast: featuring Marc Steen

On privacy and personalization in federated learning: a retrospective on the US/UK PETs challenge

VISION AI Open Day: Trustworthy AI

PeSTo: an AI tool for predicting protein interactions

Tetris reveals how people respond to an unfair AI algorithm

AIhub monthly digest: May 2023 – mitigating biases, ICLR invited talks, and Eurovision fun

Latest AI announcements from the US Government include updated strategic plan

Interview with Haotian Xue: learning intuitive physics from videos

Using engineered bacteria and AI to sense and record environmental signals

Writing with AI help can shift your opinions

AI is helping astronomers make new discoveries and learn about the universe faster than ever before

The Good Robot Podcast: live from the AI Anarchies conference in Berlin

A list of resources, articles, and opinion pieces relating to large language models

Mitigating biases in machine learning

Researchers create a tool for accurately simulating complex systems

The Machine Ethics Podcast: featuring Marie Oldfield

Engineering molecular interactions with machine learning

#ICLR2023 invited talk: Data, history and equality with Elaine Nsoesie

Forthcoming machine learning and AI seminars: May 2023 edition

Four ways that AI can help students

Machine learning helps researchers separate compostable from conventional plastic waste

Understanding the impact of misspecification in inverse reinforcement learning

#ICLR2023 invited talks: exploring artificial biodiversity, and systematic deviations for trustworthy AI

Interview with Fanglan Chen: Exploring tradeoffs in automated school redistricting