We waste 1.6 billion tons of food every year while 25 million starve and another billion are malnourished. If one startup in Berlin is successful, just maybe. The global food supply chain is mind-bogglingly complex. Tens of millions of farms feed millions of grocery stores and restaurants, which in turn supply almost eight billion people their daily food. Plus of course there are transport companies, wholesalers, distributors, processors, and delivery companies.

We are interested in the problem of efficiently determining the data complexity of answering queries mediated by non-Horn description logic ontologies and constructing their optimal rewritings to standard database queries. In general, this problem is known to be extremely complex. In this article, we strip it to the bare bones and focus on conjunctive queries mediated by a simple covering axiom stating that one class is covered by the union of two other classes. We develop a novel technique to prove that, quite surprisingly, deciding first-order rewritability of even such simple ontology-mediated queries is PSpace-hard. The main result of this article is a complete and transparent syntactic AC0/NL/P/coNP tetrachotomy of path queries under the assumption that the covering classes are disjoint. We also obtain a number of syntactic and semantic sufficient conditions (without the path query assumption) for membership in AC0, L, NL, and P.

In many areas of science, various sensing technologies are used to obtain information about a single system of interest. Often, none of the datasets alone contains a complete view of the system, but the data measured from different modalities can complement each other. For instance, brain activity patterns can be captured using both electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) signals, which have complementary temporal and spatial resolutions. Similarly, in metabolomics, multiple analytical techniques such as LCMS (Liquid Chromatography - Mass Spectrometry) and NMR (Nuclear Magnetic Resonance) spectroscopy are used to measure chemical compounds in biological samples, providing a more complete picture of underlying biological processes. Joint analysis of datasets from multiple sources, also referred to as data fusion (or multi-modal data mining), exploits these complementary measurements, and allows for better interpretability and, potentially, more accurate recovery of patterns characterizing the underlying phenomena. Nevertheless, data fusion poses many challenges, and there is an emerging need for data fusion methods that can take into account different characteristics of data from multiple sources in many disciplines [1-4]. Data from multiple sources can often be represented in the form of matrices and higher-order tensors. Coupled matrix and tensor factorizations (CMTF) are an effective approach for joint analysis of such datasets in many domains including social network analysis [5-8], neuroscience [9-13], and chemometrics [2, 14]. In such coupled factorizations, each dataset is modelled by a low-rank approximation.

Artificial Intelligence in Education Market Report aims to provide an overview of the industry through detailed market segmentation. The report offers thorough information about the overview and scope of the market along with its drivers, restraints and trends. This report is designed to include both qualitative and quantitative aspects of the industry in each region and country participating in the study. Key players in global Artificial Intelligence in Education market include: Blackboard,Fujitsu,Cisco Systems,Pearson,Samsung,Instructure,Discovery Communications,Dell,Echo360,Adobe systems,SAP,Microsoft,Jenzabar,Ellucian,Promethean World,Oracle,IBM and more. This study specially analyses the impact of Covid-19 outbreak on the Artificial Intelligence in Education, covering the supply chain analysis, impact assessment to the Artificial Intelligence in Education market size growth rate in several scenarios, and the measures to be undertaken by Artificial Intelligence in Education companies in response to the COVID-19 epidemic.

While artificial intelligence has found a lot of use cases in many industries, another area that is witnessing a lot of traction is for Social Good. Many companies and organisations are either collaborating with not-for-profit organisations or are developing solutions that may help communities and society in general by integrating AI. AI is solving some of the pressing social issues. From detecting Zika virus to the Covid-19 pandemic, the use cases for AI for Social good is on the rise. Many global companies such as Google, Microsoft, Facebook and government bodies are deploying AI for positive social initiatives.

This year, the world changed in the span of a few months, in unprecedented ways that surprised and overwhelmed every country on this planet. The greatest global crisis since World War II and the largest global pandemic since the 1918–19 Spanish Flu fell upon us. Everybody spent a better part of their day looking at the daily rise of the death toll and the rapid, exponential spread of this novel strain of the COVID-19 virus. Millions of people lost their jobs, unemployment rose through the roof, global travel and hospitality industries were all but decimated, international relationships were frayed, healthcare systems were stressed to the limits. Of course, the fight was not one-sided.

A personal assistant arrested Friday in the death and dismemberment of a 33-year-old tech entrepreneur was believed to have owed his boss a "significant amount of money," New York City police said. Tyrese Haspil faces a murder charge in the death of Fahim Saleh, whose beheaded, armless body was found Tuesday by a cousin who had gone to his luxury Manhattan condo to check on him. Haspil, 21, handled finances and personal matters for Saleh, whose ventures included a ride-hailing service in Africa. Haspil, who grew up on Long Island and lived in Brooklyn, was taken into police custody Friday morning in the lobby of another luxury apartment building several blocks from where Saleh was killed, NYPD Chief of Detectives Rodney Harrison said. Information on Haspil's arraignment or a lawyer who could speak on his behalf was not immediately available.

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A new research study has been presented by credible markets offering a comprehensive analysis on the Global Artificial Intelligence (AI) Chips Market where user can benefit from the complete Market research report with all the required useful information about this Market. This is a latest report, covering the current COVID-19 impact on the Market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in Market conditions. The rapidly changing Market scenario and initial and future assessment of the impact is covered in the report.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A former personal assistant to tech CEO Fahim Saleh, who was found beheaded and dismembered earlier this week in his New York City apartment, has been taken into police custody in connection with the murder. Police have taken Tyrese Devon Haspel, 21, into custody for the death of the 33-year-old executive, Fox News has confirmed. The person in custody had worked as Saleh's personal assistant, the officials told The Associated Press.