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Why spectral normalization stabilizes GANs: analysis and improvements
ML@CMU
07 Mar 2022
We investigate the training stability of generative adversarial networks (GANs).
Bart Selman’s presidential address at #AAAI2022 – incomprehensible truths, fragile chains and hidden crystals
Lucy Smith
03 Mar 2022
The current AAAI president talks about the state of AI and highlights three examples of AI for the acceleration of scientific discovery.
Hot papers on arXiv from the past month: February 2022
Lucy Smith
02 Mar 2022
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during February 2022.
monthly digest
AIhub monthly digest: February 2022 – AAAI 2022 in progress, the life of a dataset, and AI valentines
Lucy Smith
28 Feb 2022
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Artificial intelligence and big data to help preserve wildlife
EPFL
25 Feb 2022
Research collaborators propose that animal ecologists can capitalize on large datasets generated by modern sensors by combining machine learning approaches with domain knowledge.
Beach bots, sea ‘raptors’ and marine toolsets mobilised to get rid of marine litter
Horizon
18 Feb 2022
Find out about the different EU research projects are concerned with reducing marine litter, including an autonomous litter-picking robot.
The unsupervised reinforcement learning benchmark
BAIR blog
14 Feb 2022
We consider the unsupervised RL problem - how do we learn useful behaviors without supervision and then adapt them to solve downstream tasks quickly?
Improving RL with lookahead: learning off-policy with online planning
ML@CMU
11 Feb 2022
We suggest using a policy that looks ahead using a learned model to find the best action sequence.
Machine learning fine-tunes graphene synthesis
Rice University
08 Feb 2022
Rice University lab uses computer models to advance graphene synthesis process.
Sequence modeling solutions for reinforcement learning problems
BAIR blog
03 Feb 2022
We tackle large-scale reinforcement learning problems with the toolbox of sequence modeling.
Hot papers on arXiv from the past month: January 2022
Lucy Smith
01 Feb 2022
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during January 2022.
monthly digest
AIhub monthly digest: January 2022 – new voices in AI, bug bounties, and arXiv hits two million
Lucy Smith
31 Jan 2022
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Pulling back the curtain on neural networks
Oregon State University
28 Jan 2022
“Explainable AI is not something you produce or consume. It’s an educational experience, and the bottom line is that we need to focus on helping the humans to solve problems.”
#NeurIPS2021 invited talks round-up: part three – the collective intelligence of army ants
Lucy Smith
27 Jan 2022
In this third round-up of the invited talks at NeurIPS 2021, we cover the final talk by Radhika Nagpal.
AI powers autonomous materials discovery
Cornell University
25 Jan 2022
Integrating robotic materials synthesis and a hierarchy of AI methods to map out processing phase diagrams.
Artificial intelligence helps speed up ecological surveys
EPFL
24 Jan 2022
A deep-learning model for counting the number of seals in aerial photos that is considerably faster than doing it by hand.
An energy-based perspective on learning observation models
ML@CMU
21 Jan 2022
We propose a conceptually novel approach to mapping sensor readings into states.
RLiable: towards reliable evaluation and reporting in reinforcement learning
GoogleAI Blog
19 Jan 2022
Practical approaches to improve the rigour of deep reinforcement learning algorithm comparison.
#NeurIPS2021 invited talks round-up: part two – benign overfitting, optimal transport, and human and machine intelligence
Lucy Smith
14 Jan 2022
Continuing our series of round-ups of the invited talks from NeurIPS, we cover three more presentations.
Which mutual information representation learning objectives are sufficient for control?
BAIR blog
10 Jan 2022
How can we best design representation learning objectives?
Hot papers on arXiv from the past month: December 2021
Lucy Smith
06 Jan 2022
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during December 2021.
Keeping one step ahead of earthquakes
Horizon
04 Jan 2022
Damaging earthquakes can strike at any time. While we can’t prevent them from occurring, we can make sure casualties, economic loss and disruption of essential services are kept to a minimum.
Understanding user interfaces with screen parsing
ML@CMU
03 Jan 2022
We introduce the problem of screen parsing, which we use to predict structured user interface models from visual information.
Bridge data: boosting generalization of robotic skills with cross-domain datasets
BAIR blog
30 Dec 2021
With our proposed dataset and multi-task, multi-domain learning approach, we have shown one potential avenue for making diverse datasets reusable in robotics.
Artificial intelligence in 2021: the AIhub roundup
Lucy Smith
30 Dec 2021
As 2021 draws to a close we look back on some of the notable research developments, awards, news and policy in the world of artificial intelligence.
Hot papers on arXiv from 2021
Lucy Smith
27 Dec 2021
Find out which were the most-tweeted papers on arXiv from each month in 2021.
AI holidays 2021
AIhub
24 Dec 2021
Here's a sample of AI-themed holiday videos, images and stories to get you into the spirit this season.
Some highlights from our focus on the UN SDGs
Lucy Smith
22 Dec 2021
As 2021 draws to a close, we pick some of our favourite interviews and articles from our focus series on the UN sustainable development goals.
Why generalization in RL is difficult: epistemic POMDPs and implicit partial observability
BAIR blog
21 Dec 2021
In this blog post, we will aim to explain why generalization in RL is fundamentally hard, even in theory.
monthly digest
AIhub monthly digest: December 2021 – #NeurIPS2021, sustainable cities and the Reith lectures
Lucy Smith
20 Dec 2021
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Robot reinforcement learning: safety in real-world applications
How can we make a robot learn in the real world while ensuring safety? In this post, best paper award finalists at CoRL explain all.
Harnessing the power of AI to elucidate mobile traffic consumption at city scale
Paul Patras
15 Dec 2021
Mobile traffic analysis can provide many insights. Find out more about work on obtaining high-resolution traffic maps using AI methods and aggregate data.
Designs from data: offline black-box optimization via conservative training
BAIR blog
10 Dec 2021
In this post, we discuss offline model-based optimization and some recent advances in this area.
#NeurIPS2021 invited talks round-up: part one – Duolingo, the banality of scale and estimating the mean
Lucy Smith
09 Dec 2021
There are eight invited talks at the conference this year. In this post, we give a taster of the first three.
Smart cities and AI
Beril Sirmacek
03 Dec 2021
In this video lecture, Beril Sirmacek talks about research using AI methods to help to make cities more environmentally friendly.
Hot papers on arXiv from the past month: November 2021
Lucy Smith
01 Dec 2021
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during November 2021.
