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Good health and well-being: summarising AI and robotics in healthcare – diagnostics, personalised care, drug discovery, and more
Lucy Smith
11 Feb 2021
In December 2020 we announced the launch of our focus series AI for Good: UN sustainable development goals (SDGs). Each month we pick a different sustainable development goal (SDG) and highlight work ...
#AAAI2021 invited talk – Regina Barzilay on deploying machine learning methods in cancer diagnosis and drug design
Lucy Smith
09 Feb 2021
In September 2020, Regina Barzilay was announced as the winner of the inaugural AAAI Squirrel AI award. Regina was formally presented with the prize during an award ceremony at the AAAI2021 conference...
Offline reinforcement learning: how conservative algorithms can enable new applications
BAIR blog
09 Feb 2021
[latexpage]
By Aviral Kumar and Avi Singh
Deep reinforcement learning has made significant progress in the last few years, with success stories in robotic control, game playing and science probl...
AI4Industry pilot releases first demonstration video
AI4EU
08 Feb 2021
Screengrab from the demonstration video produced by AI4Industry
By AI4EU’s AI4Industry pilot team
AI4EU's pilot AI4Industry released its first video to demonstrate how AI techniques can help d...
monthly digest
AIhub monthly digest: January 2021
Lucy Smith
04 Feb 2021
We are introducing a monthly digest to keep you up-to-date with the latest happenings in the AI world. You can catch up with any AIhub stories you may have missed, get the low-down on recent conferenc...
Deep learning microscope for rapid tissue imaging
Rice University
04 Feb 2021
Rice University engineering researchers Yubo Tang (left) and Mary Jin are members of a team that used deep learning to optimize both image collection and image post-processing in a new type of microsc...
Hot papers on arXiv from the past month – January 2021
Lucy Smith
02 Feb 2021
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during January 2021.
Results are powered by Arxiv Sanity Preserver....
Learning state abstractions for long-horizon planning
BAIR blog
29 Jan 2021
[latexpage]
By Scott Emmons*, Ajay Jain*, Michael Laskin*, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
Many tasks that we do on a regular basis, such as navigating a city, cooking a meal, or ...
Using AI-enhanced music-supported therapy to assist stroke patients
Josep Lluís Arcos
26 Jan 2021
Stroke currently ranks as the second most common cause of death and the second most common cause of disability worldwide. Motor deficits of the upper extremity (hemiparesis) are the most common and de...
#NeurIPS2020 invited talks round-up: part two – the real AI revolution, and the future for the invisible workers in AI
Lucy Smith
22 Jan 2021
In this post we continue our summaries of the NeurIPS invited talks from the 2020 meeting. Here, we cover the talks by Chris Bishop (Microsoft Research) and Saiph Savage (Carnegie Mellon University)....
EvolveGraph: dynamic neural relational reasoning for interacting systems
BAIR blog
21 Jan 2021
[latexpage]
By Jiachen Li
Multi-agent interacting systems are prevalent in the world, from purely physical systems to complicated social dynamic systems. The interactions between entities / comp...
High-performance computing and AI team up for COVID-19 diagnostic imaging
Marco Aldinucci
12 Jan 2021
The Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) taskforce on AI & COVID-19 supported the creation of a research group focused on AI-assisted diagnosis of COVI...
Hot papers on arXiv from the past month – December 2020
Lucy Smith
04 Jan 2021
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during December 2020.
Results are powered by Arxiv Sanity Preserver....
CLAIRE COVID-19 taskforce webinar
By Joyce Anne Quinto
As part of its second anniversary activities, CLAIRE hosted a webinar presenting the progress and future plans of its COVID-19 taskforce. Entitled, “CLAIRE taskforce for AI a...
Prediction of drug metabolites using deep learning
Rice University
29 Dec 2020
A computational tool created at Rice University may help pharmaceutical companies expand their ability to investigate the safety of drugs. (Credit: Kavraki Lab/Rice University)
By Mike Williams
...
Artificial intelligence in 2020: the AIhub roundup
Lucy Smith
27 Dec 2020
As 2020 draws to a close we look back on some of the notable research developments, awards, conferences and policy in the world of artificial intelligence....
Experiments with the ICML 2020 peer-review process
ML@CMU
23 Dec 2020
By Ivan Stelmakh
The International Conference on Machine Learning (ICML) is a flagship machine learning conference that in 2020 received 4,990 submissions and managed a pool of 3,931 reviewers and ...
The CLAIRE COVID-19 Initiative: a bottom-up effort from the European AI community
Figure 1: CLAIRE COVID-19 Initiative, topic groups and main outcomes
By Gianluca Bontempi, Ricardo Chavarriaga, Hans de Canck, Emanuela Girardi, Holger Hoos and Iarla Kilbane-Dawe
CLAIRE, the Co...
Opportunities for machine learning use in cystic fibrosis care
University of Cambridge
16 Dec 2020
Blue and Brown Anatomical Lung Wall Decor. Credit: Hey Paul Studios.
Accurately predicting how an individual’s chronic illness is going to progress is critical to delivering better-personalised, pr...
Training on test inputs with amortized conditional normalized maximum likelihood
BAIR blog
14 Dec 2020
[latexpage]
By Aurick Zhou
Current machine learning methods provide unprecedented accuracy across a range of domains, from computer vision to natural language processing. However, in many impo...
#NeurIPS2020 invited talks round-up: part one
Lucy Smith
11 Dec 2020
There were seven interesting and varied invited talks at NeurIPS this year. Here, we summarise the first three, which were given by Charles Isbell (Georgia Tech), Jeff Shamma (King Abdullah University...
AlphaFold advances protein folding research
Lucy Smith
03 Dec 2020
Protein PCMT1 PDB, by Emw CC BY-SA 3.0, via Wikimedia Commons.
The grand challenge of protein folding hit the news this week when it was announced that the latest version of DeepMind's AlphaFold sy...
Hot papers on arXiv from the past month – November 2020
Lucy Smith
01 Dec 2020
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during November 2020.
Results are powered by Arxiv Sanity Preserver....
Goodhart’s law, diversity and a series of seemingly unrelated toy problems
BAIR blog
30 Nov 2020
[latexpage]
By Aldo Pacchiano, Jack Parker-Holder, Luke Metz, and Jakob Foerster
Goodhart’s Law is an adage which states the following:
“When a measure becomes a target, it ceases to be a ...
Adapting on the fly to test time distribution shift
BAIR blog
20 Nov 2020
By Marvin Zhang
Imagine that you are building the next generation machine learning model for handwriting transcription. Based on previous iterations of your product, you have identified a key chall...
Efficient graph construction to represent images
Sarath Shekkizhar
12 Nov 2020
Why do we need graphs for image processing?
Image processing over the years has evolved from simple linear averaging filters to highly adaptive non linear filtering operations such as the bilateral f...
On learning language-invariant representations for universal machine translation
ML@CMU
09 Nov 2020
[latexpage]
Figure 1: An encoder-decoder generative model of translation pairs, which helps to circumvent the limitation discussed before. There is a global distribution \(\mathcal{D}\) over the re...
Reinforcement learning is supervised learning on optimized data
BAIR blog
05 Nov 2020
[latexpage]
By Ben Eysenbach and Aviral Kumar and Abhishek Gupta
The two most common perspectives on Reinforcement learning (RL) are optimization and dynamic programming. Methods that compute th...
Hot papers on arXiv from the past month – October 2020
Lucy Smith
02 Nov 2020
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during October 2020.
Results are powered by Arxiv Sanity Preserver....
Improvising with an AI musician
Lucy Smith
28 Oct 2020
For those interested in music and AI, a session on "Human collaboration with an AI musician" at the AI for Good global summit proved to be a real treat. The session included a performance between two ...
Plan2Explore: active model-building for self-supervised visual reinforcement learning
By Oleh Rybkin, Danijar Hafner and Deepak Pathak
[latexpage]
To operate successfully in unstructured open-world environments, autonomous intelligent agents need to solve many different tasks and lea...
AWAC: accelerating online reinforcement learning with offline datasets
BAIR blog
19 Oct 2020
By Ashvin Nair and Abhishek Gupta
[latexpage]
Robots trained with reinforcement learning (RL) have the potential to be used across a huge variety of challenging real world problems. To apply RL...
Generalizing randomized smoothing for pointwise-certified defenses to data poisoning attacks
ML@CMU
16 Oct 2020
We propose a method for making black-box functions provably robust to input manipulations. By training an ensemble of classifiers on randomly flipped training labels, we can use results from randomize...
Five things to know about: making self-driving cars safe
Horizon
12 Oct 2020
By Jonathan O'Callaghan
On 18 September, the European Commission published an independent expert report that looks at some of the outstanding safety and ethical issues around connected and automate...
Hot papers on arXiv from the past month – September 2020
Lucy Smith
07 Oct 2020
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during September 2020.
Results are powered by Arxiv Sanity Preserver....
AI will change the world. Who will change AI? We will.
BAIR blog
05 Oct 2020
By Sophia Stiles
[latexpage]
Editor’s Note: The following blog is a special guest post by a recent graduate of Berkeley BAIR’s AI4ALL summer program for high school students. AI4ALL is a nonp...
