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Focus on UN SDGs
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.
Monitoring the climate crisis with AI, satellites and drones – a workshop at NeurIPS2020
Lucy Smith
09 Mar 2021
As part of the workshop programme at NeurIPS2020, Climate Change AI (CCAI) held an all-day session on "Tackling climate change with machine learning". They also organised a side event on “Monitoring...
Focus on life below water: call for contributions
AIhub
08 Mar 2021
We are launching the next topic in our focus series on the UN sustainable development goals (SDGs). In April we will start publishing posts relating the goal of “life below water”, which is SDG nu...
Team formation techniques in education
Carles Sierra
04 Mar 2021
Our research uses combinatorial optimisation techniques to study team formation.
Interview with Konstantin Klemmer – talking Climate Change AI and geographic data research
Lucy Smith
02 Mar 2021
Hear from AI researcher and communications chair for Climate Change AI.
Interview with Amy McGovern – creating trustworthy AI for environmental science applications
Lucy Smith
24 Feb 2021
Dr Amy McGovern leads the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), and is based at the University of Oklahoma. We spoke about her research...
Equitable climate mitigation – a webinar from Climate Change AI
AIhub
22 Feb 2021
In this webinar from Climate Change AI you can hear from panellists in industry and academia as they discuss climate change mitigation. They consider how we can tackle climate change while addressing ...
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Marco Maratea
In interview number five in this series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Marco Maratea, Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei ...
Digital technology and the planet – a report from the Royal Society
AIhub
19 Feb 2021
In December 2020, the Royal Society published a report on Digital Technology and the Planet: Harnessing computing to achieve net zero. In his foreword, Professor Andy Hopper, Vice President of the Roy...
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...
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...
Researchers use deep learning to identify gene regulation at single-cell level
University of California, Irvine
16 Feb 2021
Clustering performance comparison when different thresholds and parameters are changed. Figure taken from Predicting transcription factor binding in single cells through deep learning, published under...
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Jose Sousa
In the next interview in this series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Jose Sousa, Faculty of Medicine, Health and Life Sciences, Queen’s University Belfast....
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 ...
Focus on quality education: call for contributions
AIhub
10 Feb 2021
We are launching the third topic in our focus series on the UN sustainable development goals (SDGs). In March we will start publishing posts relating the goal of "quality education", which is SDG numb...
#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...
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...
AI and climate change – a virtual briefing with Climate Change AI researchers
Lucy Smith
03 Feb 2021
In December, Heinrich-Böll-Stiftung hosted a virtual briefing featuring researchers from Climate Change AI (CCAI). They talked about the role machine learning can play in facilitating climate change ...
AIhub launches focus series on climate action
AIhub
03 Feb 2021
As part of our ongoing focus on the UN sustainable development goals (SDGs), we are launching the second topic in this series: climate action. Posts on this topic will be featured on our website throu...
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Ann Nowé
In the third interview in this series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Ann Nowé, Vrije Universiteit Brussel (VUB), Belgium....
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...
Webinar on “Macro dynamics predictions in COVID-19 crisis, explained by micro intentions”
Hans De Canck
22 Jan 2021
On 3 June 2020, the VUB AI Experience Centre published a webinar on the topic of the role of AI in the COVID-19 crisis, focused on macro dynamics predictions in the COVID-19 crisis, explained by micro...
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Davide Bacciu
In the second interview in this series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Davide Bacciu (Università di Pisa)....
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Emanuela Girardi
By Anna Tahovská
CLAIRE, the Confederation of Laboratories for AI Research in Europe, launched its COVID-19 Initiative in March 2020 as the first wave of the pandemic hit the continent. Its object...
Interview with Guillem Alenyà – discussing assistive robotics, human-robot interaction, and more
AIhub
14 Jan 2021
Guillem Alenyà is Director of the Institut de Robòtica i Informàtica Industrial, CSIC-UPC, in Barcelona. His research activities include assistive robotics, robot adaptation, human-robot interactio...
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...
Focus on climate action: call for contributions
AIhub
08 Jan 2021
We are launching the second topic in our focus series on the UN sustainable development goals (SDGs). In February we will start publishing posts relating the goal of "climate action", which is SDG num...
Computer vision app allows easier monitoring of glucose levels
University of Cambridge
06 Jan 2021
Reading diabetes monitor. Credit: James Charles
A computer vision technology developed by University of Cambridge engineers has now been integrated into a free mobile phone app for regular monitori...
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
...
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...
AIhub launches focus series on good health and well-being
Lucy Smith
16 Dec 2020
We are delighted to announce the launch of our focus series on AI for Good: UN sustainable development goals (SDGs). Each month we will pick a different sustainable development goal (SDG) and highligh...
Focus on good health and well-being: call for contributions
Lucy Smith
26 Nov 2020
We are excited to announce that next month we will launching the AIhub focus issue on “AI for Good”, which will specifically concentrate on the UN Sustainable Development Goals (SDGs). Each month ...
