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Applying deep learning algorithms to the task of clearing space junk
EPFL
16 Nov 2020
By Tanya Petersen
EPFL researchers are at the forefront of developing some of the cutting-edge technology for the European Space Agency’s first mission to remove space debris from orbit....
Fancy writing for AIhub? We are recruiting ambassadors
Lucy Smith
10 Nov 2020
Are you a PhD student or researcher with an interest in science communication? We are recruiting AIhub ambassadors to help us write about the latest news, research, conferences, and more, in the fiel...
AI-assisted camera system to monitor seabird behaviour
Lucy Smith
06 Nov 2020
Researchers from Osaka University have combined bio-logging cameras with a machine learning algorithm to help them to shed light on hidden aspects of the lives of seabird species, including gulls and ...
Using AI to help understand the evolution of young stars and their planets
University of New South Wales
30 Oct 2020
Bright flashes of light on a star's surface are stellar flares: powerful bursts of radiation caused by the release of a star's magnetic energy. Strong flares can be followed by an ejection of star mat...
New sparse RNN architecture applied to autonomous vehicle control
Lucy Smith
26 Oct 2020
The network in action - steering an autonomous car. Image is a screenshot from a video created by the authors: Mathias Lechner, Ramin Hasani, Alexander Amini, Thomas A. Henzinger, Daniela Rus & Radu G...
International conference on intelligent robots and systems (IROS)
Lucy Smith
23 Oct 2020
This Sunday sees the start of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). This year the event is online and free for anyone to attend. Content will be availabl...
Space and artificial intelligence – an online conference
Lucy Smith
21 Oct 2020
On 4 September 2020 an online conference on the topic of space and artificial intelligence took place. The event was organised by CLAIRE and the European Space Agency (ESA) in association with ECAI202...
New device monitors blood glucose levels using radar and AI
University of Waterloo
15 Oct 2020
Researchers test a prototype of a new diabetes device for prick-free glucose monitoring.
New technology can quickly and accurately monitor glucose levels in people with diabetes without painful fin...
How machine learning can help to future-proof clinical trials in the era of COVID-19
University of Cambridge
08 Oct 2020
Copyright ©University of Cambridge
The COVID-19 pandemic is the greatest global healthcare crisis of our generation, presenting enormous challenges to medical research, including clinical trials. Ad...
Ethics of connected and automated vehicles: a European Commission expert group report
Lucy Smith
02 Oct 2020
On 18 September the European Commission published a report on the Ethics of Connected and Automated Vehicles (CAVs). Written by an independent group of experts, the report includes twenty recommendati...
Using machine learning to speed bioscaffold development
Rice University
29 Sep 2020
A “high quality” 3D-printed bioscaffold as designed with help from a machine learning algorithm developed at Rice University. Scale bar equals 1 millimetre. (Credit: Mikos Research Group/Rice Univ...
Regina Barzilay wins $1M Association for the Advancement of Artificial Intelligence Squirrel AI award
MIT News
24 Sep 2020
Regina Barzilay (Picture Credit: Rachel Wu, MIT CSAIL)
By Adam Conner-Simons
For more than 100 years Nobel Prizes have been given out annually to recognize breakthrough achievements in chemistry...
Archaeological search engine adds a new dimension to ‘digging’
Universiteit Leiden
23 Sep 2020
By Rianne Lindhout
Apps that can precisely identify shards, coins or heel bones: archaeology has embraced artificial intelligence. Alex Brandsen is working on a search engine that scans vast quanti...
AI shows how hydrogen becomes a metal inside giant planets
University of Cambridge
16 Sep 2020
©University of Cambridge
Researchers have used a combination of AI and quantum mechanics to reveal how hydrogen gradually turns into a metal in giant planets.
Dense metallic hydrogen – a phas...
Putting nanoscale interactions under the microscope
University of Illinois
09 Sep 2020
From left to right: graduate student Zihao Ou, Professor Qian Chen, and graduate student and lead author Lehan Yao.
By Lois Yoksoulian
Liquid-phase transmission electron microscopy (TEM) has rec...
European Commission AI white paper: feedback gathered by the Knowledge Centre Data & Society
Knowledge Centre Data & Society
07 Sep 2020
Image credit: ©AI4EU observatory
By Knowledge Centre Data & Society
On 4 June 2020, the Flemish Knowledge Centre Data & Society (KCDS) organised a consultation to gather feedback on the Europea...
Neural network method for enhancing electron microscope images
Texas A&M
28 Aug 2020
Left and right images show false-colored electron microscopic images of the same region on the specimen. The image on the right has been super-resolved using an image processing method. | Image: Profe...
New AI research institutes announced in USA
Lucy Smith
27 Aug 2020
Yesterday, the National Science Foundation (NSF) and the US Department of Agriculture’s National Institute for Food and Agriculture (USDA-NIFA) announced investment to establish seven new artificial...
Congratulations to the #ICML2020 outstanding paper award winners
Lucy Smith
15 Jul 2020
The ICML Outstanding Paper awards are given to papers from the current conference that are strong representatives of solid theoretical and empirical work in the field. This year the awards were announ...
ICML 2020 Test of Time award
Lucy Smith
13 Jul 2020
The International Conference on Machine Learning (ICML) Test of Time award is given to a paper from ICML ten years ago that has had significant impact. This year the award goes to Niranjan Srinivas, ...
Energy-saving designs for data-intensive computer processing
Rice University
06 Jul 2020
By Jade Boyd
Researchers have demonstrated methods for both designing innovative data-centric computing hardware and co-designing hardware with machine-learning algorithms that together could impro...
Virtual humanoid RoboCup workshops
Lucy Smith
03 Jul 2020
The 24th edition of RoboCup, due to take place in Bordeaux in late June, has been postponed until 2021. Obviously an event which centres on soccer matches between opposing teams of robots is something...
ACM statement on facial recognition technology
AIhub
01 Jul 2020
The Association for Computing Machinery (ACM) U.S. Technology Policy Committee (USTPC) released a statement on 30 June calling for "an immediate suspension of the current and future private and govern...
Learning for dynamics and control conference
Lucy Smith
29 Jun 2020
The second conference on learning for dynamics and control (L4DC) was held on 11-12 June. In their introduction to the conference, the organisers write that "over the next decade, the biggest generato...
Context-aware sentence retrieval method reduces ‘communication gap’ for nonverbal people
University of Cambridge
23 Jun 2020
Researchers have used artificial intelligence to reduce the ‘communication gap’ for nonverbal people with motor disabilities who rely on computers to converse with others.
The team, from the Un...
ICRA workshops on robotics and learning
Lucy Smith
22 Jun 2020
This year the International Conference on Robotics and Automation (ICRA) is being run as a virtual event. One interesting feature of this conference is that it has been extended to run from 31 May to...
CLAIRE endorses EU plan for AI and makes 10 key recommendations
Lucy Smith
19 Jun 2020
In February this year, the European Commission released a white paper entitled: On Artificial Intelligence – A European approach to excellence and trust. With the public consultation phase on this d...
Can machine learning learn new physics?
Lucy Smith
18 Jun 2020
Can machine learning learn new physics - or do we have to put it in by hand? A workshop organised by Ilya Nemenman (Emory University), and featuring a number of experts in the field, aimed to find ou...
AI for good – global summit 2020
Lucy Smith
12 Jun 2020
The 2020 edition of the United Nations AI for Good Global Summit is in full swing and this year takes the form of a continuous virtual event. It features weekly programming across multiple formats, p...
Finding unique drug structures with artificial intelligence and chemistry
Universiteit Leiden
04 Jun 2020
Dihydroxyacetone Kinase. Credit: Wikipedia Commons. Reproduced under a CC-BY-SA 3.0 license.
By Bryce Benda
In the search for new medicines for diseases such as cancer, a Leiden team has developed...
A deep learning framework for analysis of astronomical images
Lucy Smith
29 May 2020
Researchers have developed a model for generating pixel-level morphological classifications of astronomical sources. Morpheus can analyze astronomical image data pixel-by-pixel to identify and classif...
How speech recognition techniques are helping to predict volcanoes’ behaviour
Horizon
27 May 2020
By Sarah Wild
Dr Luciano Zuccarello grew up in the shadow of Mount Etna, an active volcano on the Italian island of Sicily. Farms and orchards ring the lower slopes of the volcano, where the fertil...
Using machine learning to identify different types of brain injuries
University of Cambridge
25 May 2020
Qualitative results for five different cases from the test set. The top row shows the image slice, the second row shows the ground-truth segmentation, and the bottom row shows the predicted segmentat...
Q&A: research into sound-collecting app to aid respiratory disease diagnosis
Horizon
18 May 2020
Professor Cecilia Mascolo at the University of Cambridge, UK, hopes her coronavirus sounds app could provide the data needed to build a quick and cheap Covid-19 screening test in the future. Image cre...
US office the latest to deny patents where AI system listed as inventor
Lucy Smith
04 May 2020
Last summer it was reported that patents had been filed in the USA and Europe listing an artificial intelligence system as the inventor. The patents in question were for a food container and a warnin...
AI techniques used to improve battery health and safety
University of Cambridge
30 Apr 2020
Researchers have developed a machine learning method that can predict battery health with ten times higher accuracy than current industry standard, which could aid in the development of safer and more...
