Causal inference under incentives: an annotated reading list

AIhub monthly digest: August 2024 – IJCAI, neural operators, and sequential decision making

Air pollution in South Africa: affordable new devices use AI to monitor hotspots in real time

Proportional aggregation of preferences for sequential decision making

Free AI courses from the Turing Institute

AIhub coffee corner: how do you solve a problem like conference reviewing?

Machine learning enhances chemical analysis at the nanoscale

Interview with AAAI Fellow Anima Anandkumar: Neural Operators for science and engineering problems

CMU-MATH team’s innovative approach secures 2nd place at the AIMO prize

Combining Indigenous knowledge and AI to support safer on-ice travel

Considerations for differentially private learning with large-scale public pretraining – interview with Gautam Kamath

Visuals of AI in the military domain: beyond ‘killer robots’ and towards better images?

Behind the scenes at #ICML2024

#IJCAI2024 – tweet round-up from the main conference

Paris Olympics 2024: faster, higher, stronger – and more data-driven

Congratulations to the #IJCAI2024 distinguished paper award winners

Bridging the gap between user expectations and AI capabilities: Introducing the AI-DEC design tool

#IJCAI2024 – tweet round-up of the tutorials and workshops

An academic publisher has struck an AI data deal with Microsoft – without their authors’ knowledge

Are we ready for multi-image reasoning? Launching VHs: The Visual Haystacks benchmark!

What’s coming up at #IJCAI2024?

AIhub monthly digest: July 2024 – attending RoboCup, real-world simulators, and AI and cognitive science

Navigating the labyrinth: How generative models tackle complex data sampling

Training AI requires more data than we have — generating synthetic data could help solve this challenge

Congratulations to the #ICML2024 award winners

#ICML2024 – tweet round-up from the first few days

International collaboration lays the foundation for future AI for materials

Record labels are suing tech companies for copying classic songs – and the results could shape the legal future of generative AI

#RoboCup2024 – daily digest: 21 July

#RoboCup2024 – daily digest: 20 July

#RoboCup2024 – daily digest: 19 July

What’s on the programme at #ICML2024?

The Good Robot Podcast: Featuring Maurice Chiodo

AI UK 2024 conference recordings now available to watch

What’s coming up at #RoboCup2024?

Interview with Sherry Yang: Learning interactive real-world simulators

The Good Robot Podcast: Featuring Helen Hester

Are models biased on text without gender-related language?

From sketches to a robot with artificial intelligence

New database features 250 AI tools that can enhance social science research

The Machine Ethics podcast: AI Ethics, Risks and Safety Conference

DataLike: Interview with Camila Manera Schor

Interview with Yuan Yang: working at the intersection of AI and cognitive science

New open-source platform allows users to evaluate performance of AI-powered chatbots

AIhub monthly digest: June 2024 – network resource allocation, protein structure prediction, and a Ge’ez-Amharic-English dataset

New computer vision method helps speed up screening of electronic materials

The Good Robot Podcast: Featuring Heather Zheng

Viruses are doing mysterious things everywhere – AI can help researchers understand what they’re up to in the oceans and in your gut

Machine learning-aided thermography for building heat loss detection

AI Fringe 2024 – event recordings available

The Machine Ethics podcast: AI fictions with Alex Shvartsman

AI chatbots are intruding into online communities where people are trying to connect with other humans

How to regularize your regression

Learning programs with numerical reasoning

Interview with Tianfu Wang: A reinforcement learning framework for network resource allocation

Congratulations to the #IJCAI2024 award winners

Forthcoming machine learning and AI seminars: June 2024 edition

Tweet round-up from #ICWSM24

Interview with AAAI Fellow Mausam: talking information extraction, mentorship, and creativity

Mapping phase diagrams with generative classifiers

Interview with Henok Biadglign Ademtew: Creating an Amharic, Ge’ez and English parallel dataset

DataLike: Interview with Sarah Masud

An iterative refinement model for PROTAC-induced structure prediction

AI can now generate entire songs on demand. What does this mean for music as we know it?

AIhub monthly digest: May 2024 – causality and natural language, AfriClimate AI, and digital twins for smart cities

Machine learning accelerates discovery of solar-cell perovskites

Madagascar’s ancient baobab forests are being restored by communities – with a little help from AI

DataLike: Interview with Wuraola Oyewusi

European Union AI Act receives final approval

#ICLR2024 invited talk: Priya Donti on why your work matters for climate more than you think

Congratulations to the #ICRA2024 best paper winners

Trotting robots offer insights into animal gait transitions

Machine learning enhances monitoring of threatened marbled murrelet

Introducing AfriClimate AI

Understanding AI outputs: study shows pro-western cultural bias in the way AI decisions are explained

Forthcoming machine learning and AI seminars: May 2024 edition

What’s coming up at #ICRA2024?

Interview with Sukanya Mandal: Developing a cognitive digital twin framework for smart cities

Congratulations to the #ICLR2024 test of time and outstanding paper award winners

AIhub coffee corner: Responsible and trustworthy AI

DataLike: Interview with Motunrayo Kilanko

Interview with Salena Torres Ashton: causality and natural language

5 questions schools and universities should ask before they purchase AI tech products

AIhub monthly digest: April 2024 – explainable AI, access to compute, and noughts and crosses

The Machine Ethics podcast: Good tech with Eleanor Drage and Kerry McInerney

AIhub coffee corner: Open vs closed science

Are emergent abilities of large language models a mirage? – Interview with Brando Miranda

We built an AI tool to help set priorities for conservation in Madagascar: what we found

Interview with Mike Lee: Communicating AI decision-making through demonstrations

Machine learning viability modelling of vertical-axis wind turbines

The Machine Ethics podcast: What is AI? Volume 3

DataLike: Interview with Tẹjúmádé Àfọ̀njá

Beyond the mud: Datasets, benchmarks, and methods for computer vision in off-road racing

Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems

2024 AI Index report published

#AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models

Deep learning-powered system maps corals in 3D

Is compute the binding constraint on AI research? Interview with Rebecca Gelles and Ronnie Kinoshita

Forthcoming machine learning and AI seminars: April 2024 edition

Modeling extremely large images with xT

Going top shelf with AI to better track hockey data

The moderating effect of instant runoff voting

Navigating the new era of commerce: Exploring the relationship between anthropomorphism in voice assistants and user safety perception

AIhub monthly digest: March 2024 – human-robot interaction, serverless computing, and deep reinforcement learning for communication networks

Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics

Datalike: Interview with Mariza Ferro

Interview with Amine Barrak: serverless computing and machine learning

AI UK 2024: Camden Council case study

How will generative artificial intelligence affect political advertising in 2024?

Using machine learning to discover stiff and tough microstructures

Interview with Raffaele Galliera: Deep reinforcement learning for communication networks

Machine learning helps improve quality assurance for wind turbines

#AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering

The shift from models to compound AI systems

Interview with Aaquib Tabrez: explainability and human-robot interaction

The Good Robot Podcast: Featuring Shannon Vallor

#AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?

Forthcoming machine learning and AI seminars: March 2024 edition

Happy International Women’s Day!

Datalike: Interview with Angelique Yameogo

#AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning

Catholijn Jonker wins the 2024 ACM/SIGAI Autonomous Agents Research Award

The Machine Ethics podcast: New forms of story telling with Guy Gadney

#AAAI2024 invited talk: Milind Tambe – using ML for social good