AIhub monthly digest: August 2021 – IJCAI, RoboCupJunior, and happy birthday to arXiv

#IJCAI2021 invited talks round-up 2: system two deep learning, and knowledge representation for generalisation

RoboCupJunior: Interview with Amy Eguchi

#IJCAI2021 invited talks round-up 1: fairness in multiwinner voting, and combining AI and robotics to augment human abilities

Congratulations to the #IJCAI2021 best paper award winners

Tweet round-up from #IJCAI2021 – workshops and tutorials

The Machine Ethics podcast: AI regulation with Lofred Madzou

What’s coming up at #IJCAI2021?

Universal weakly supervised segmentation by pixel-to-segment contrastive learning

Machine learning technique to help keep your personal data your own

A unifying, game-theoretic framework for imitation learning

Bipedal robot developed at Oregon State learns to run

Forthcoming machine learning and AI seminars: August 2021 edition

The surprising effectiveness of PPO in cooperative multi-agent games

The Machine Ethics podcast: How to design a moral algorithm with Derek Leben

Protecting user privacy with voice conversion

Artificial intelligence speeds land-use classification

Hot papers on arXiv from the past month: July 2021

Eleven new NSF artificial intelligence research institutes announced

AIhub monthly digest: July 2021 – ICML, protein folding for all, and AI Song Contest winner announced

Use of AI to fight COVID-19 risks harming “disadvantaged groups”, experts warn

#ICML2021 invited talk round-up 2: randomized controlled trials, encoding speech, and molecular science

Document grounded generation

DeepMind and EMBL release database of predicted protein structures

#ICML2021 in tweets

#ICML2021 invited talk round-up 1: drug discovery and cryospheric science

Ethics in voice technologies

What’s coming up at #ICML2021?

Ethics and AI: tackling biases hidden in big data

What do pilots think of having more AI in the cockpit?

“AI: Here for Good” – Ireland releases national AI strategy

Code^Shift lab aims to confront bias in AI and machine learning

Forthcoming machine learning and AI seminars: July 2021 edition

Focus on affordable and clean energy: call for contributions

Winner of the 2021 AI Song Contest announced!

Four ways artificial intelligence is helping us learn about the universe

The problem of complete, irreversible data anonymisation

“I am here to assist you today” – how we respond to chatbots

Hot papers on arXiv from the past month: June 2021

Congratulations to the #IJCAI2021 award winners

AIhub monthly digest: June 2021 – RoboCup, comics, and the return of the AI song contest

See, Hear, Explore: curiosity via audio-visual association

Cost-effective speech-to-text with weakly- and semi-supervised training

RoboCup and its role in the history and future of AI

The Machine Ethics Podcast: What is AI?

What’s coming up at RoboCup 2021?

RoboCup@Work League: Interview with Asad Norouzi

RoboCup Humanoid League: Interview with Maike Paetzel-Prüsmann

Advancing society through inclusive AI technology

RoboCup 3d Simulation League: Interview with Marco Simões

Helping drone swarms avoid obstacles without hitting each other

Radical AI podcast: featuring Divya Siddarth

Forthcoming machine learning and AI seminars: June 2021 edition

RoboCup Logistics League: Interview with Sebastian Eltester

Sanmi Koyejo and Finale Doshi-Velez win Computing Research Association awards

AI in port and maritime research

AI Policy Matters – facial recognition, human-centred AI and more

The Machine Ethics Podcast: Algorithmic discrimination with Damien Williams

FLeet: putting machine learning in your pocket

AIhub launches focus series on reduced inequalities

2021 AI Song Contest entries now online

AIhub monthly digest: May 2021 – ocean studies, defining AI, and philosophy of mind

Understanding the oceans and climate change – the OcéanIA project and Tara expedition

Interview with Ali Boyle – talking AI, cognitive sciences and philosophy of mind

Learning what to do by simulating the past

What AI can do for football, and what football can do for AI

The Machine Ethics Podcast: The business of AI ethics with Josie Young

A learning theoretic perspective on local explainability

An active machine learning method for discovering new semiconductors

CLAIRE to launch four new offices across Europe

Interview with Nayat Sánchez-Pi – how the OcéanIA project is advancing our understanding of the oceans and our climate

The importance of hyperparameter optimization for model-based reinforcement learning

Forthcoming machine learning and AI seminars: May 2021 edition

Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer

Counterfactual predictions under runtime confounding

Tweet round-up from #ICLR2021

Hot papers on arXiv from the past month: April 2021

AIhub monthly digest: April 2021 – ethics, music, education and Westworld

Radical AI podcast: featuring Cynthia Bennett

Pretrained transformers as universal computation engines

European Vision for AI 2021 – an event for all

Studying biomolecules with deep-learning-enhanced nanoplasmonic technique

Quality education focus series round-up: teaching AI and using AI to improve teaching

AAAI 2021 Spring Symposium on Implementing AI Ethics

Robohub and AIhub’s free workshop trial on sci-comm of robotics and AI

European Commission proposes new rules and actions for artificial intelligence

Tilted empirical risk minimization

Radical AI podcast: featuring Kate Crawford

AIhub – leading organisations form new charity to advance public understanding of artificial intelligence

Maximum entropy RL (provably) solves some robust RL problems

Forthcoming machine learning and AI seminars: April 2021 edition

Focus on reduced inequalities: call for contributions

Self-supervised policy adaptation during deployment

Radical AI podcast: featuring Su Lin Blodgett

Detection of marine litter using deep learning

AIhub launches focus series on life below water

Data Science Nigeria AI bootcamp videos available online

Hot papers on arXiv from the past month: March 2021

AIhub monthly digest: March 2021

Interview with Michael Milford – using artificial intelligence for robotic navigation

Machine learning helps in the search for new antibiotics

#NeurIPS2020 invited talks round-up: part three – causal learning and the genomic bottleneck

CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Ricardo Chavarriaga

AI UK – an event from The Turing Institute

Symposium on Educational Advances in Artificial Intelligence – a summary from the co-chairs

An inferential perspective on federated learning

Radical AI podcast: featuring Zanele Munyikwa

CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Marco Aldinucci

Michael Wooldridge: Talking to the public about AI – #EAAI2021 invited talk

Climate action focus series round-up – interviews, research summaries, webinars and more

Forthcoming machine learning and AI seminars: March 2021 edition

The successor representation, gamma-models, and infinite-horizon prediction

Daphne Koller: Digital learning coming to life – #AAAI2021 invited talk

CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Manlio De Domenico

Using machine learning to create texts for people with reading difficulties

Monitoring the climate crisis with AI, satellites and drones – a workshop at NeurIPS2020

Happy International Women’s Day!

Focus on life below water: call for contributions

2021 AI Index Report published

Team formation techniques in education

AIhub launches focus series on quality education

AIhub monthly digest: February 2021

AIhub video – find out more about us

Interview with Konstantin Klemmer – talking Climate Change AI and geographic data research

Hot papers on arXiv from the past month – February 2021