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CT scans, artificial intelligence and COVID-19

#artificialintelligence

That was really interesting, thank you Patrick for joining us. Patrick Brennan: It was a pleasure, thank you. Norman Swan: Professor Patrick Brennan, who is Professor of Diagnostic Imaging at the University of Sydney. I'm Norman Swan, this has been the Health Report on RN. And don't forget the Coronacast, our daily podcast on all things to do with the coronavirus that Tegan Taylor and I present. You can download it by going to Apple Podcasts, the ABC Listen app, or wherever you get your podcasts. I'll see you next week.


An AI can tell whether ancient faeces came from a person or a dog

New Scientist

Dog faeces can still be troublesome thousands of years after being dumped. Archaeologists can end up in deep doodoo if they mistake it for human faeces. But now an artificial intelligence system has been developed to discern the two. Ancient faeces, or coprolites, can be a valuable source of information about the identity, diet and health of people who lived thousands of years ago. But dog faeces, which are a similar size and shape, are also common at many archaeological sites.


Machine Learning Models Predict COVID-19 Impact in Smaller Cities

#artificialintelligence

According to a robust machine learning model that can predict pandemic impact even in smaller cities, with 75% of the population in the Capital Region in New York remaining at home, the COVID-19 pandemic will peak locally in the second half of May. If the rate of people staying home drops to 50%, it will peak in early June. Rensselaer Polytechnic Institute researcher Malik Magdon-Ismail tailored the models he is developing to work with sparse data points, like those available during the early phase in a pandemic or in smaller cities, which ordinarily make trend-spotting difficult. "There are no simple, robust, general tools that, for example, officials in Albany could use to make projections," said Magdon-Ismail, a professor of computer science, and expert in machine learning, data mining, and pattern recognition. "These models show that the projections vary enormously from one city to another. This knowledge could relieve some of the uncertainty that is around in developing policy."


A neural network can help spot Covid-19 in chest x-rays

#artificialintelligence

The news: An open-access neural network called COVID-Net, released to the public this week, could help researchers around the world in a joint effort to develop an AI tool that can test people for Covid-19. You can read all of our coverage of the coronavirus/Covid-19 outbreak for free, and also sign up for our coronavirus newsletter. But please consider subscribing to support our nonprofit journalism.. COVID-Net is a convolutional neural network, a type of AI that is particularly good at recognizing images. Developed by Linda Wang and Alexander Wong at the University of Waterloo and the AI firm DarwinAI in Canada, COVID-Net was trained to identify signs of Covid-19 in chest x-rays using 5,941 images taken from 2,839 patients with various lung conditions, including bacterial infections, non-Covid viral infections, and Covid-19. The data set is being provided alongside the tool so that researchers--or anyone who wants to tinker--can explore and tweak it. Don't believe the hype: Several research teams have announced AI tools that can diagnose Covid-19 from x-rays in the last few weeks.


Huma building out its AI-powered patient monitoring platform following rebrand

#artificialintelligence

Proactive Investors Limited, trading as "Proactiveinvestors United Kingdom", is Authorised and regulated by the Financial Conduct Authority. You can contact us here. Data delayed 15 minutes unless otherwise indicated.


Artificial Intelligence vs. Human Intelligence: Which is the Force Majeure?

#artificialintelligence

Anthropomorphizing AI is easy to do. In the age of smart assistants like Google Home, Alexa, and Siri, we imagine that these technologies have our best interests at heart. While painting a mental picture of AI, we usually envision machines that think, learn, and come to conclusions as humans do. For a general understanding of the phenomenon, artificial intelligence is described as the intelligence possessed and displayed by machines and technologies as opposed to the one exhibited by humans. For lack of a better term, AI is used as a blanket expression to represent machine learning, cognitive computing, image recognition, and more.


SingularityNET Launches AGI Platform Based On 'AI Blockchain' Technology โ€“ Tech Check News

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NEW YORK, NY / ACCESSWIRE / April 16, 2020 / Recently, SingularityNET announced that AGItoken based on'AI Blockchain' technology was officially launched on the HKEXus platform on April 7. As a de-centralized platform for artificial intelligence, AGI provides a series of services based on blockchain AI for organizations or individuals that have no conditions to independently develop artificial intelligence, covering areas requiring artificial intelligence such as marketing, publicity, games, VR, personal assistants, unmanned driving, etc. In short, AGI is an application store about artificial intelligence.


SingularityNET Launches AGI Platform Based On 'AI Blockchain' Technology โ€“ Tech Check News

#artificialintelligence

NEW YORK, NY / ACCESSWIRE / April 16, 2020 / Recently, SingularityNET announced that AGItoken based on'AI Blockchain' technology was officially launched on the HKEXus platform on April 7. As a de-centralized platform for artificial intelligence, AGI provides a series of services based on blockchain AI for organizations or individuals that have no conditions to independently develop artificial intelligence, covering areas requiring artificial intelligence such as marketing, publicity, games, VR, personal assistants, unmanned driving, etc. In short, AGI is an application store about artificial intelligence.


How Robots and A.I. Will Make Your City A Sci-Fi Reality

#artificialintelligence

Robots and A.I. could have a big impact on our urban future. "Bweep boo bweeeee," Simon-360 screeches electronically out of its 600-pound metallic frame, rousing you from your slumber atop a mattress made of pressurized warm air. You force one eye open and catch a blurry glimpse of a sunny day from inside your glass-encased condo atop a 2-mile high stratoscraper. The busy yet harmonious morning commute of autonomous flying buses, jet-packed professionals, and schoolchildren on boards that actually hover has already begun in your megacity. I've made you breakfast," your self-aware artificial housekeeper explains, pouring a glass filled with orange juice, fried eggs, toast, and bacon on your face.


How AI helps scientists find reliable coronavirus research

#artificialintelligence

As the world unites in the fight against COVID-19, scientists and researchers around the world are studying the novel coronavirus and publishing their findings in peer-reviewed journals and pre-print servers. Scattered across these research papers might be the pieces of the puzzle that will unlock the cure or vaccine for COVID-19 or new ways to treat patients and prevent the spread of the virus. Unfortunately, no single person can go through tens of thousands of documents, and the thousands more that are being added every week. This is where the artificial intelligence community enters the scene. Among other efforts to help fight the coronavirus pandemic, AI researchers are fast busy developing tools that will help medical scientists navigate the fast-growing corpus of literature surrounding coronavirus. The concerted effort to process COVID-19 papers, which has brought together government agencies, tech giants, universities, and research labs, will be a measure of how useful our state-of-the-art AI algorithms have become.