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2022 April


#ICLR2022 invited talk round-up 1: AI for science – protein structure prediction

April 29, 2022

AIhub monthly digest: April 2022 – images of AI, data justice, and winning at bridge

April 28, 2022

Advancing data justice – a short documentary

April 27, 2022

Trainee teachers made sharper assessments about learning difficulties after receiving feedback from AI

April 26, 2022

Congratulations to the 2022 ICLR outstanding paper award winners!

April 25, 2022

#AAAI2022 workshop round-up 3: design and manufacturing, and learning and reasoning

April 22, 2022

Join our team of AIhub ambassadors!

April 21, 2022

New voices in AI: Maria De-Arteaga

April 20, 2022

Using artificial intelligence in health sciences education requires interdisciplinary collaboration and risk assessment

April 19, 2022

Considering the risks of using AI to help grow our food

April 14, 2022

Turing Institute panel discussion on interpretability, safety and security in AI

April 13, 2022

The Machine Ethics Podcast: Ethics of digital worlds with Richard Bartle

April 12, 2022

Forthcoming machine learning and AI seminars: April 2022 edition

April 11, 2022

Pieter Abbeel wins ACM Prize in Computing

April 8, 2022

AIhub coffee corner: AI images

April 7, 2022

#AAAI2022 workshops round-up 2: operations research and decision optimisation

April 6, 2022

Developing safe controllers for autonomous systems under uncertainty

April 5, 2022

Developing an AI-powered app to identify invasive bugs

April 4, 2022

Unsupervised skill discovery with contrastive intrinsic control

April 1, 2022


2022 March


New technologies in the justice system – a UK Justice and Home Affairs Committee report

March 31, 2022

What is AI? Stephen Hanson in conversation with Yoshua Bengio

March 30, 2022

AIhub monthly digest: March 2022 – Lanfrica, AI index report, and conferences galore

March 29, 2022

#AAAI2022 workshops round-up 1: AI to accelerate science and engineering, interactive machine learning, and health intelligence

March 28, 2022

Deep learning: a framework for image analysis in life sciences

March 25, 2022

AI UK – discussing the national AI strategy, AI Standards Hub, and data in the public eye

March 24, 2022

Interview with Virginie Do – #AAAI2022 outstanding paper award winner

March 23, 2022

The Machine Ethics Podcast: AI Audits with Ryan Carrier

March 22, 2022

Assessing generalization of SGD via disagreement

March 21, 2022

2022 Artificial Intelligence Index Report published

March 18, 2022

Lanfrica: connecting African language resources – an interview with the team

March 17, 2022

#AAAI2022 invited talks – data-centric AI and robust deep learning

March 16, 2022

European AI week 2022

March 15, 2022

imodels: leveraging the unreasonable effectiveness of rules

March 14, 2022

AI can help doctors work faster – but trust is crucial

March 11, 2022

Forthcoming machine learning and AI seminars: March 2022 edition

March 10, 2022

#AAAI2022 invited talk – Cynthia Rudin on interpretable machine learning

March 9, 2022

New voices in AI: Tanja Kaiser

March 8, 2022

Why spectral normalization stabilizes GANs: analysis and improvements

March 7, 2022

Video digest: February 2022 – AAAI, new voices and a song contest

March 4, 2022

Bart Selman’s presidential address at #AAAI2022 – incomprehensible truths, fragile chains and hidden crystals

March 3, 2022

Hot papers on arXiv from the past month: February 2022

March 2, 2022

#AAAI2022 in tweets – the conference in summary

March 1, 2022


2022 February


AIhub monthly digest: February 2022 – AAAI 2022 in progress, the life of a dataset, and AI valentines

February 28, 2022

Artificial intelligence and big data to help preserve wildlife

February 25, 2022

Congratulations to the #AAAI2022 award winners

February 24, 2022

#AAAI2022 in tweets – the conference is underway

February 23, 2022

AI Song Contest returns for 2022

February 22, 2022

Facilitating early detection of disease and stimulating preventative medicine – a white paper

February 21, 2022

Beach bots, sea ‘raptors’ and marine toolsets mobilised to get rid of marine litter

February 18, 2022

The life of a dataset in machine learning research – interview with Bernard Koch

February 17, 2022

New voices in AI: Isabel Cachola

February 16, 2022

What’s coming up at #AAAI2022?

February 15, 2022

The unsupervised reinforcement learning benchmark

February 14, 2022

Improving RL with lookahead: learning off-policy with online planning

February 11, 2022

Forthcoming machine learning and AI seminars: February 2022 edition

February 10, 2022

Bug bounties for algorithmic harms? – a report from the Algorithmic Justice League

February 9, 2022

Machine learning fine-tunes graphene synthesis

February 8, 2022

Our monthly digest now available in video form

February 7, 2022

Augmented Humanity podcast: Indigenous AI featuring Michael Running Wolf

February 4, 2022

Sequence modeling solutions for reinforcement learning problems

February 3, 2022

What is AI? Stephen Hanson in conversation with Geoff Hinton

February 2, 2022

Hot papers on arXiv from the past month: January 2022

February 1, 2022


2022 January


AIhub monthly digest: January 2022 – new voices in AI, bug bounties, and arXiv hits two million

January 31, 2022

Pulling back the curtain on neural networks

January 28, 2022

#NeurIPS2021 invited talks round-up: part three – the collective intelligence of army ants

January 27, 2022

New voices in AI: NLP for low resource languages

January 26, 2022

AI powers autonomous materials discovery

January 25, 2022

Artificial intelligence helps speed up ecological surveys

January 24, 2022

An energy-based perspective on learning observation models

January 21, 2022

Introducing new voices in AI

January 20, 2022

RLiable: towards reliable evaluation and reporting in reinforcement learning

January 19, 2022

The Machine Ethics Podcast: 2021 in review with Merve Hickok

January 18, 2022

Maria Gini wins the 2022 ACM/SIGAI Autonomous Agents Research Award

January 17, 2022

#NeurIPS2021 invited talks round-up: part two – benign overfitting, optimal transport, and human and machine intelligence

January 14, 2022

AI Standards Hub – a new UK initiative

January 13, 2022

Forthcoming machine learning and AI seminars: January 2022 edition

January 12, 2022

Interview with Chien Lu: analyzing text documents with sophisticated covariates

January 11, 2022

Which mutual information representation learning objectives are sufficient for control?

January 10, 2022

What is AI? Stephen Hanson in conversation with Terry Sejnowski

January 7, 2022

Hot papers on arXiv from the past month: December 2021

January 6, 2022

The Machine Ethics podcast DeepDive: AI and games

January 5, 2022

Keeping one step ahead of earthquakes

January 4, 2022

Understanding user interfaces with screen parsing

January 3, 2022


2021 December


Bridge data: boosting generalization of robotic skills with cross-domain datasets

December 30, 2021

Artificial intelligence in 2021: the AIhub roundup

December 30, 2021

Hot papers on arXiv from 2021

December 27, 2021

AI holidays 2021

December 24, 2021

Some highlights from our focus on the UN SDGs

December 22, 2021

Why generalization in RL is difficult: epistemic POMDPs and implicit partial observability

December 21, 2021

AIhub monthly digest: December 2021 – #NeurIPS2021, sustainable cities and the Reith lectures

December 20, 2021

Radical AI podcast: featuring Raziye Buse Çetin

December 17, 2021

Robot reinforcement learning: safety in real-world applications

December 16, 2021

Harnessing the power of AI to elucidate mobile traffic consumption at city scale

December 15, 2021

Interview with Huy Ha and Shuran Song: CoRL 2021 best system paper award winners

December 14, 2021

#NeurIPS2021 in tweets – highlights from the first week

December 13, 2021

Designs from data: offline black-box optimization via conservative training

December 10, 2021

#NeurIPS2021 invited talks round-up: part one – Duolingo, the banality of scale and estimating the mean

December 9, 2021

Forthcoming machine learning and AI seminars: December 2021 edition

December 8, 2021

#NeurIPS2021 in tweets – highlights from the first two days

December 7, 2021

Call for AI-themed holiday videos, art and more

December 6, 2021

Smart cities and AI

December 3, 2021

AIhub launches focus series on sustainable cities and communities

December 3, 2021

Congratulations to the NeurIPS 2021 award winners!

December 2, 2021

Hot papers on arXiv from the past month: November 2021

December 1, 2021


2021 November


AIhub monthly digest: November 2021 – avoiding hype, musical dissonance, and AI thanksgiving

November 30, 2021

What’s coming up at NeurIPS 2021?

November 29, 2021

EMNLP 2021 in tweets

November 26, 2021

AIhub coffee corner: AI thanksgiving

November 25, 2021

Interview with Tao Chen, Jie Xu and Pulkit Agrawal: CoRL 2021 best paper award winners

November 24, 2021

Machine learning in chemistry – a symposium

November 23, 2021

A first-principles theory of neural network generalization

November 22, 2021

How to spot AI hype

November 19, 2021

Compression, transduction, and creation: a unified framework for evaluating natural language generation

November 18, 2021

Natural language processing model for African languages

November 17, 2021

Machine learning for climate science and Earth observation – a webinar from Climate Change AI

November 16, 2021

Making RL tractable by learning more informative reward functions: example-based control, meta-learning, and normalized maximum likelihood

November 15, 2021

Analysing ice hockey videos with deep learning

November 12, 2021

Stanford HAI 2021 fall conference: four radical proposals for a better society

November 11, 2021

Radical AI podcast: featuring Sasha Costanza-Chock

November 10, 2021

Focus on sustainable cities and communities: call for contributions

November 9, 2021

Forthcoming machine learning and AI seminars: November 2021 edition

November 8, 2021

PICO: Pragmatic compression for human-in-the-loop decision-making

November 5, 2021

AI and music festival brings together musicians, artists and scientists

November 4, 2021

AIhub coffee corner: Are deep learning’s returns diminishing?

November 3, 2021

We are delighted to announce the launch of Scicomm – a joint science communication project from AIhub and Robohub

November 2, 2021

Hot papers on arXiv from the past month: October 2021

November 1, 2021




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