To present a method that automatically segments and quantifies abnormal CT patterns commonly present in coronavirus disease 2019 (COVID-19), namely ground glass opacities and consolidations. In this retrospective study, the proposed method takes as input a non-contrasted chest CT and segments the lesions, lungs, and lobes in three dimensions, based on a dataset of 9749 chest CT volumes. The method outputs two combined measures of the severity of lung and lobe involvement, quantifying both the extent of COVID-19 abnormalities and presence of high opacities, based on deep learning and deep reinforcement learning. The first measure of (PO, PHO) is global, while the second of (LSS, LHOS) is lobe-wise. Evaluation of the algorithm is reported on CTs of 200 participants (100 COVID-19 confirmed patients and 100 healthy controls) from institutions from Canada, Europe and the United States collected between 2002-Present (April 2020).
The creation of the Global Partnership on Artificial Intelligence (GPAI) reflects the growing interest of states in AI technologies. The initiative, which brings together 14 countries and the European Union, will help participants establish practical cooperation and formulate common approaches to the development and implementation of AI. At the same time, it is a symptom of the growing technological rivalry in the world, primarily between the United States and China. Russia's ability to interact with the GPAI may be limited for political reasons, but, from a practical point of view, cooperation would help the country implement its national AI strategy. The Global Partnership on Artificial Intelligence (GPAI) was officially launched on June 15, 2020, at the initiative of the G7 countries alongside Australia, India, Mexico, New Zealand, South Korea, Singapore, Slovenia and the European Union. According to the Joint Statement from the Founding Members, the GPAI is an "international and multistakeholder initiative to guide the responsible development and use of AI, grounded in human rights, inclusion, diversity, innovation, and economic growth."
The drug, baricitinib, is currently marketed by Eli Lilly to treat rheumatoid arthritis. Now, thanks to AI, it is being tested against COVID-19 in a major randomised-controlled trial in collaboration with the U.S. National Institute for Allergies and Infectious Diseases (NIAID) in combination with remdesivir, an antiviral drug from Gilead Sciences that recently won emergency-use approval for COVID-19. Eli Lilly has now commenced its own independent trial of baricitinib as a therapy for COVID-19 in South America, Europe and Asia.
This more than doubles the startup's total raised, and a spokesperson says it will be used to accelerate Sight's operations globally -- with a focus on the U.S. -- as Sight advances R&D for the detection of conditions like sepsis and cancer, as well as factors affecting COVID-19. Blood tests are generally unpleasant -- not to mention costly. On average, getting blood work done at a lab costs uninsured patients between $100 and $1,500. In the developing world, where the requisite equipment isn't always readily available, ancillary costs threaten to drive the price substantially higher. That's why Yossi Pollak, previously at Intel subsidiary Mobileye, and Daniel Levner, a former scientist at Harvard's Wyss Institute for Biologically Inspired Engineering, founded Sight Diagnostics in 2011.
Richard Harmon, Managing Director of Financial Services at Cloudera, discusses the importance of relevant machine learning models in today's age, and how the financial sector can prepare for future changes. The past six months have been turbulent. Business disruptions and closures are happening at an unprecedented scale and impacting the economy in a profound way. In the financial services sector, S&P Global estimates that this year could quadruple UK bank credit losses. The economic uncertainty in the UK is heightened by Brexit, which will see the UK leave the European Union in 2021.
Though society has outgrown most cliché tropes that surrounded online dating in its early years, believing that meeting online can grow into a genuine connection can still be hard. If any dating sites can rekindle your hope that there's someone out there who wants the same thing you do, Match and eharmony are it. Technically speaking, online dating amplifies your selection of potential love interests to people you would never have stumbled upon IRL. It's the obvious next step after you've exhausted the qualified singles in your local dating pool, and the pandemic has made online dating an even more ubiquitous way to meet people than it already was. Since social distancing has essentially made hookups with strangers a non-issue, weeding out people who aren't taking dating seriously is easier than ever.
We've seen Pepper, the cutesy robotic butler, provide customer service, offer info at train stations, sell smartphones and take your Pizza Hut order. Now, Pepper has a new public health mission. The humanoid is scanning faces to determine whether people are wearing masks. To help slow the spread of COVID-19, countries like France are requiring people over the age of 11 to wear masks in closed public places. Other European countries have similar rules, so SoftBank Robotics Europe is rolling out a new free update that allows Pepper to detect face masks.
A new commission has been formed by Oxford University to advise world leaders on effective ways to use Artificial Intelligence (AI) and machine learning in public administration and governance. The Oxford Commission on AI and Good Governance (OxCAIGG) will bring together academics, technology experts and policymakers to analyse the AI implementation and procurement challenges faced by governments around the world. Led by the Oxford Internet Institute, the Commission will make recommendations on how AI–related tools can be adapted and adopted by policymakers for good governance now and in the near future. The new Commission's inaugural thinkpiece, "Four Principles for Integrating AI & Good Governance" by Lisa-Maria Neudert and Philip Howard examines the procurement and use of AI by government and public agencies. The report outlines four significant challenges relating to AI development and application that need to be overcome for AI to be put to work for good governance and leverage it as a'force for good' in government responses to the COVID-19 pandemic.
Temporarily forgetting she is sitting beside me, I shout to my wife: "I'm in the children's bedroom." We can't go to the Republic of Ireland ourselves to do this. Travellers from Great Britain need to restrict their movements for a fortnight, so nipping over and back is off the cards. But I can take several paces through a virtual seaside flat in Dublin's Dún Laoghaire, while based in our south London home. Circles appear on the floor of the Dublin flat and, using hand controls, I can glide between them and explore.
Asia Pacific Assistive Robotics Association (APARA), a non-profit organization founded to facilitate adoption and augmentation of Artificial Intelligence (AI) and Robotics, today announced AIBotics Go-Digital Series 2020, an AI and Robotics event themed around'Augmenting the Human Potential', will be launched between August and November 2020, aiming to facilitate the increasing dependency on AI technology into improving human lives. An international event endorsed and supported by the International Alliance of Robotics Associations (IARA) and a number of global and regional partners including the University of Oxford, the ASEAN Smart Cities Network, Japan Science & Technology Agency, the Malaysian Artificial Intelligence and Robotics Association, among others, AIBotics Go-Digital Series 2020 reviews ethical and responsible AI and robotics innovations through webinars and a virtual exhibition 24 hours a day, seven days a week from August for four months, bringing together renowned industry experts as well as a number of projects and innovative solutions from all around the world. To enable a smart, seamless and sustainable digital conferencing experience, APARA is collaborating with Tencent Cloud, the official conferencing solution provider of AIBotics Go-Digital Series 2020, to bring visitors and delegates a series of power-packed webinars and a virtual exhibition through Tencent Cloud Conference (TCC) solutions which have been widely adopted by local and overseas organizations and enterprises at online and digital business conferences, annual meetings, road shows, lectures, industry forums, among others. "As we adjust to the'new normal' brought about by the COVID-19 pandemic, AI has also become much more mainstream while allowing gatherings and business meetings to be held amid current circumstances. We are excited to present AIBotics Go-Digital Series 2020, highlighting how AI and Robotics can truly augment human potential, which is a timely message in light of the virus-related disruptions globally," said Shanlynn Lee, President of APARA.