#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

TIDEE: An embodied agent that tidies up novel rooms using commonsense priors

AIhub monthly digest: April 2023 – addressing class imbalance, personalized reward functions, and ad hoc teamwork

“Computing and Technology Ethics: Engaging Through Science Fiction” – an interview with the authors

Back to the future: towards a reasoning and learning architecture for ad hoc teamwork

AI in health care challenges us to define what better, people-centred care looks like

Understanding AI-generated misinformation and evaluating algorithmic and human solutions

ChatGPT: what the law says about who owns the copyright of AI-generated content

The Machine Ethics Podcast: AI, ethics and the future – Data Science Festival talk special edition

Koala: A dialogue model for academic research

Benefits and control influence the acceptance of automated decision-making

Are model explanations useful in practice? Rethinking how to support human-ML interactions

#AAAI2023 workshops round-up 3: Reinforcement learning ready for production

2023 landscape – a report from the AI Now Institute

Forthcoming machine learning and AI seminars: April 2023 edition

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

2023 AI Index Report released

Learning personalized reward functions with Interaction-Grounded Learning (IGL)

The Good Robot Podcast: featuring Bridget Boakye

Advancing data justice research and practice project

Methods for addressing class imbalance in deep learning-based natural language processing

Missing links in AI governance – a new book release

AIhub monthly digest: March 2023 – plant disease diagnosis, logic for trustworthy AI, and neurosymbolic approaches

Radical AI podcast: featuring Meredith Broussard

AI UK: discussing the role and impact of science journalism

Neurosymbolic AI for graphs: a crime scene analogy

AI transparency in practice: a report

#AAAI2023 workshops round-up 2: health intelligence and privacy-preserving AI

The Good Robot Podcast: featuring Pedro Oliveira

Is there a way to pay content creators whose work is used to train AI? Yes, but it’s not foolproof

Interview with Ernest Mwebaze: a machine learning-based app for diagnosing plant diseases

Improving the understanding of metal-organic frameworks

#AAAI2023 invited talk: Isabelle Augenstein on modelling information change in scientific communication

Forthcoming machine learning and AI seminars: March 2023 edition

All questions answered: ChatGPT and large language models

Radical AI podcast: the limitations of ChatGPT with Emily M. Bender and Casey Fiesler

Happy International Women’s Day!

RLPrompt: Optimizing discrete text prompts with reinforcement learning

Interview with Nello Cristianini: “The Shortcut – Why Intelligent Machines Do Not Think Like Us”

Think like a human: the present and future of logic for trustworthy rational robots

Błażej Kuźniacki on why we need transparency around AI in tax

#AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI

AIhub monthly digest: February 2023 – attending AAAI, awards galore, and GPT-3 for 5-minute crafts

Deep learning tool boosts X-ray imaging resolution with application to hydrogen fuel cells

#AAAI2023 invited talk: Manuela Veloso on experience-based insights from AI in robotics and AI in finance

AI can track bees on camera. Here’s how that will help farmers

Researchers develop machine learning model to improve Amazon carbon storage estimates

#AAAI2023 invited talk: Tuomas Sandholm on organ exchanges

The fight against antibiotic resistance is growing more urgent, but artificial intelligence can help

The Machine Ethics Podcast: 2022 in review with Olivia Gambelin

#AAAI2023 tweet round-up: the conference in summary

A survey on knowledge-enhanced multimodal learning

Forthcoming machine learning and AI seminars: February 2023 edition

Edith Elkind wins the 2023 ACM/SIGAI Autonomous Agents Research Award

Congratulations to the #AAAI2023 best paper winners

Congratulations to the #AAAI2023 award winners

#AAAI2023 tweet round-up from the first two days

Fully autonomous real-world reinforcement learning with applications to mobile manipulation

Radical AI podcast: featuring Deep Dhillon

What’s coming up at #AAAI2023?

Science communication for AI researchers: our tutorial at #AAAI2023

Riemannian score-based generative modelling