Mapping The Landscape Of Artificial Intelligence Applications Against COVID-19
COVID-19, the disease brought on by the SARS-CoV-2 virus, has been declared a pandemic by the Globe Health Organization, which has reported more than 18 million confirmed instances as of August 5, 2020. In this review, we present an overview of recent research employing Machine Finding out and, more broadly, Artificial Intelligence, to tackle a lot of aspects of the COVID19 crisis. We have identified applications that address challenges posed by COVID-19 at diverse scales, such as: molecular, by identifying new or current 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 utilizing a number of information sources. We also critique datasets, tools, and sources necessary to facilitate Artificial Intelligence analysis, 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 potential of AI in this and future pandemics.
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Element AI says it supports app-constructing for predictive modeling, forecasting modeling, conversational AI and all-natural language processing, image recognition, and automatic tagging of attributes based on photos. Some of the best applications of AI "look into the future" to protect against future troubles. It has already created its initially fully autonomous driving demonstration. In essence, this company’s objective is the magic of AIOps, applying AI to increase admin and IT operations. A significant development area. These AI-fueled applications serve a wide array of sectors and industry verticals, from supply chains to healthcare to anti-fraud efforts. It now operates a self-driving ride-sharing fleet in Guangzhou, China, applying automobiles from a neighborhood automaker. Such is the target with BigPanda, which leverages AI to lessen or cease IT outages before they take down a complete organization, an eCommerce operation, or a mission-important application. The corporation raised $400 million from Toyota. The purpose is to speed and optimize the approach of digital transformation.
Bonnie Docherty has produced it her mission to protect against such a future. The campaign has been focused on talks in Geneva beneath the umbrella of the UN Convention on Certain Standard Weapons, which seeks to manage weapons deemed to result in unjustifiable suffering. But it really is not alone. The course of action has yielded a set of "guiding principles," including that autonomous weapons be subject to human rights law, and that humans have ultimate responsibility for their use. But these basically form a basis for extra discussions. A Harvard Law College lecturer, she is an architect of the Campaign to Stop Killer Robots, an alliance of nongovernmental organizations demanding a worldwide treaty to ban lethal autonomous weapons. Docherty fears that the consensus-bound Geneva method might be thwarted by powers that have no interest in a treaty. It has been slow going. Over one hundred AI authorities have written to the UN asking them to ban lethal autonomous weapons - these 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-based reasoning, commonsense reasoning, laptop or computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, expertise representation, machine learning, multi-agent systems, organic language processing, arranging and action, and reasoning under uncertainty. Papers describing applications of AI are also welcome, but the concentrate must be on how new and novel AI procedures advance overall performance in application areas, rather than a presentation of however an additional application of traditional AI methods. The journal reports outcomes accomplished in addition to proposals for new strategies of searching at AI difficulties, each of which must contain demonstrations of worth and effectiveness. Papers on applications must describe a principled remedy, emphasize its novelty, and present an indepth evaluation of the AI procedures getting exploited. Apart from common papers, the journal also accepts Investigation Notes, Study Field Reviews, Position Papers, and Book Evaluations (see particulars below).
