Mapping The Landscape Of Artificial Intelligence Applications Against COVID-19

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COVID-19, the illness brought on by the SARS-CoV-2 virus, has been declared a pandemic by the Globe Health Organization, which has reported over 18 million confirmed circumstances as of August 5, 2020. In this critique, we present an overview of recent research using Machine Finding out and, far more broadly, Artificial Intelligence, to tackle numerous aspects of the COVID19 crisis. We have identified applications that address challenges posed by COVID-19 at different scales, including: molecular, by identifying new or existing drugs for treatment clinical, by supporting diagnosis and evaluating prognosis based on medical imaging and non-invasive measures and societal, by tracking both the epidemic and the accompanying infodemic using numerous information sources. We also overview datasets, tools, and sources necessary to facilitate Artificial Intelligence study, and discuss strategic considerations connected to the operational implementation of multidisciplinary partnerships and open science. We highlight the want for international cooperation to maximize the possible of AI in this and future pandemics.

It is not just the effective IPO that really should grab investors’ focus here. Ives also offers the stock a $200 price target that indicates space for a 51% upside in the subsequent 12 months. The corporation has received ten ratings, breaking down to four Purchase, four Hold, and two Sell, producing the analyst consensus a Hold. Some Wall Street analysts see C3’s shares as fully valued, but other people are bullish on the stock. And lastly, C3 is an significant contractor with the Pentagon, and counts the US Air Force, Army Aviation, and US StratCom in its user base. C3’s customers include things like such high-profile names as Bank of America, AstraZeneca, and Koch Industries. Among the bulls is Daniel Ives, the 5-star tech sector specialist from Wedbush, who rates AI and Outperform (i.e., a Buy). The business also has a strategic partnership with Microsoft, employing the Azure cloud platform to supply AI tech to the energy business. The bear-bull mix on AI is clear from the testimonials on record for C3.

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Bonnie Docherty has created it her mission to avert such a future. The campaign has been focused on talks in Geneva beneath the umbrella of the UN Convention on Specific Standard Weapons, which seeks to control weapons deemed to bring about unjustifiable suffering. But it is not alone. The method has yielded a set of "guiding principles," like that autonomous weapons be subject to human rights law, and that humans have ultimate responsibility for their use. But these just form a basis for a lot more discussions. A Harvard Law School lecturer, she is an architect of the Campaign to Stop Killer Robots, an alliance of nongovernmental organizations demanding a global treaty to ban lethal autonomous weapons. Docherty fears that the consensus-bound Geneva approach could be thwarted by powers that have no interest in a treaty. It has been slow going. More than one hundred AI specialists have written to the UN asking them to ban lethal autonomous weapons - those that use AI to act independently.

The journal of Artificial Intelligence (AIJ) welcomes papers on broad aspects of AI that constitute advances in the all round field such as, but not restricted to, cognition and AI, automated reasoning and inference, case-primarily based reasoning, commonsense reasoning, laptop or computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine finding out, multi-agent systems, natural language processing, preparing and action, and reasoning below uncertainty. Papers describing applications of AI are also welcome, but the focus should really be on how new and novel AI techniques advance efficiency in application regions, rather than a presentation of but an additional application of conventional AI methods. The journal reports results achieved in addition to proposals for new ways of seeking at AI troubles, both of which will have to consist of demonstrations of value and effectiveness. Papers on applications should describe a principled solution, emphasize its novelty, and present an indepth evaluation of the AI tactics getting exploited. Apart from typical papers, the journal also accepts Investigation Notes, Investigation Field Reviews, Position Papers, and Book Evaluations (see information below).