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by   -   May 18, 2020
Cecilia Mascolo
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 credit – Salvatore Scellato

By Richard Gray

A recording of a cough, the noise of a person’s breathing or even the sound of their voice could be used to help diagnose patients with Covid-19 in the future, according to Professor Cecilia Mascolo, co-director of the centre for mobile, wearable systems and augmented intelligence at the University of Cambridge, UK.

Prof. Mascolo has developed a sound-collecting app to help train machine learning algorithms to detect the tell-tale sounds of coronavirus infection. Created as part of a project called EAR, she hopes it might eventually lead to new ways of diagnosing respiratory diseases and help in the global fight against coronavirus.

by   -   May 15, 2020

AIhub coffee corner

The AIhub coffee corner captures the musings of AI experts over a 30-minute conversation. In light of the recent EU whitepaper on AI and US proposed guidance for regulation, our experts discuss how far regulation should go.

by   -   May 8, 2020
Heather Knight
Heather Knight and her team in the CHARISMA Robotics Lab at Oregon State are working on developing artificial social intelligence for robots.

Why should robots have artificial social intelligence? According to Heather Knight, assistant professor of computer science, if robots are going to help in hospitals or work with people in factories, they will need to be adapted to our social conventions.

by   -   May 7, 2020

AIhub | Tweets round-up
Last week saw the International Conference on Learning Representations (ICLR 2020) go virtual. Over 5600 people, from 89 different countries, registered to participate. Here we provide a round-up of tweets from event participants, speakers and organisers.

by   -   May 1, 2020

In work presented at AAAI-20 researchers from National University of Singapore, Carnegie Mellon University, and KAIST described their approach for anomaly detection in time-evolving graphs. In this interview Siddharth Bhatia tells us about their methodology, why research into anomaly detection is crucial, and plans for future studies.

by   -   April 23, 2020
COVID-19 virus
Image: Wikipedia. Published under a CC BY-SA 4.0 licence

By Justine Olawande Daramola, Cape Peninsula University of Technology

COVID-19 and its grave impact worldwide has emphasised just how critical it is for African countries to develop their healthcare systems. For the most part, these systems are woefully underfunded and understaffed.

It will take many different approaches to repair these systems. Given my area of expertise and my research focus, I am interested in the role that Artificial Intelligence (AI) might play in bolstering the continent’s health systems.

by   -   April 16, 2020

ethics in AI
By Pak-Hang Wong and Judith Simon

A major international consultancy firm identified ‘AI ethicist’ as an essential position for companies wanting to successfully integrate artificial intelligence into their business. It declared that AI ethicists are needed to help companies navigate the ethical and social issues raised by the use of AI [1].

by   -   April 7, 2020
Alan-Fern-Oregon-State
Artificial intelligence systems are being entrusted with critical choices that can change lives. Alan Fern, a professor of computer science, wants them to explain themselves.

Can we trust artificial intelligence to make good decisions? The answer is a resounding, maybe. More and more, society and individuals are entrusting AI to make potentially life-changing decisions. Rather than putting blind trust in the judgement of these remarkable systems, Professor Alan Fern and a team of computer scientists want to reveal their reasoning processes.

by   -   March 13, 2020

The AIhub coffee corner captures the musings of AI experts over a 30-minute conversation. This edition focusses on the state of the AI research landscape amid claims from some quarters that we are on the cusp of another “AI winter”. Our seven experts discuss the historical context to these claims, their feelings about the position of AI research now, and their expectations for the near future.

by   -   March 12, 2020

The outbreak of COVID-19 has seen disruption and cancellation of a number of scientific conferences. One of the biggest casualties was the APS March meeting, the world’s largest physics conference, with organisers making the difficult decision to call the event off less than 36 hours before the scientific sessions were due to start. Elsewhere, the ICLR (International Conference on Learning Representations), scheduled for April, has made the decision to go fully virtual. Could the trial of online solutions, albeit under unfortunate circumstances, herald the start of a new conference era?




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