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The successor representation, gamma-models, and infinite-horizon prediction
BAIR blog
12 Mar 2021
Reinforcement learning algorithms are frequently categorized by whether they predict future states at any point in their decision-making process...
Daphne Koller: Digital learning coming to life – #AAAI2021 invited talk
Lucy Smith
11 Mar 2021
At AAAI 2021, Daphne Koller gave a plenary talk about digital learning. In this presentation she discussed the different motivations for online learning, what we know about effective learning, digital...
Using machine learning to create texts for people with reading difficulties
Linköping University
10 Mar 2021
The aim of the TextAD research project at Linköping University is to better understand different types of reading difficulties.
Happy International Women’s Day!
AIhub
08 Mar 2021
To celebrate International Women's Day, we take a look back over the past year of AIhub content and highlight some of our favourite articles, interviews, podcasts and videos, by, or featuring, women i...
Team formation techniques in education
Carles Sierra
04 Mar 2021
Our research uses combinatorial optimisation techniques to study team formation.
monthly digest
AIhub monthly digest: February 2021
Lucy Smith
03 Mar 2021
Welcome to the second of our monthly digests, designed to keep you up-to-date with the happenings in the AI world.
Hot papers on arXiv from the past month – February 2021
Lucy Smith
01 Mar 2021
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during February 2021.
Results are powered by Arxiv Sanity Preserver....
Machine learning helps retrace evolution of classical music
EPFL
26 Feb 2021
Researchers in EPFL’s Digital and Cognitive Musicology Lab used an unsupervised machine learning model to "listen to" and categorize more than 13,000 pieces of Western classical music, revealing how...
How explainable artificial intelligence can help humans innovate
The Conversation
23 Feb 2021
Understanding how artificial intelligence algorithms solve problems like the Rubik’s Cube makes AI more useful.
By Forest Agostinelli
The field of artificial intelligence (AI) has created comp...
Helping decision-makers manage resilience under different climate change scenarios: global vs local
Àngela Nebot
18 Feb 2021
The Intergovernmental Panel on Climate Change (IPCC) fifth assessment report states that warming of the climate system is unequivocal and notes that each of the last three decades has been successivel...
Does GPT-2 know your phone number?
BAIR blog
17 Feb 2021
By Eric Wallace, Florian Tramèr, Matthew Jagielski, and Ariel Herbert-Voss
[latexpage]
Most likely not.
Yet, OpenAI’s GPT-2 language model does know how to reach a certain Peter W--- (name r...
Physics-constrained deep learning of building thermal dynamics
Energy-efficient buildings are one of the top priorities to sustainably address the global energy demands and reduction of CO2 emissions. Advanced control strategies for buildings have been identified...
Representational aspects of depth and conditioning in normalizing flows
ML@CMU
15 Feb 2021
[latexpage]
Top and Bottom Right: RealNVP [3] uses checkerboard and channel-wise partitioning schemes in order to factor out parameters and ensure that there aren’t redundant partitions from previo...
Observing air quality and flow in cities for public health in times of climate change
Beril Sirmacek
12 Feb 2021
Sentinel 5P satellite for monitoring urban heat islands and the air pollution. Image source: Sharing Earth Observational Resources.
With my co-authors Pablo Torres, Sergio Hoyas (both from Institut...
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...
