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Archaeologists teach computers to sort ancient pottery

Cogniac Announces Visual Operations Intelligence Platform

Cogniac Announces Visual Operations Intelligence Platform for Cloud-based Solutions from SAP By integrating with SAP Digital Manufacturing Cloud, Cogniac’s AI machine vision platform maximizes the value of visual data April 20, 2021 08:00 ET | Source: Cogniac Corporation Cogniac Corporation San Jose, California, UNITED STATES SAN JOSE, Calif., April 20, 2021 (GLOBE NEWSWIRE) Cogniac Corporation (“Cogniac”) today announced that its Visual Operations Intelligence platform is now available on SAP ® Store. Cogniac’s AI, machine vision platform complements the industry cloud portfolio from SAP for automotive and industrial machinery and components industries and integrates with SAP Digital Manufacturing Cloud, delivering an AI-based approach to customers looking to extract value from their visual data.

Artificial Intelligence Chipsets Market Expands Footprints 2021-2027 | Google, Samsung Electronics, Microsoft, Micron Technology – KSU

Belfast Area High School students present ideas, earn awards at 75th Maine State Science Fair

Wed, 05/12/2021 - 9:45am BELFAST  Belfast Area High School students joined 200 fellow students and competitors from around the state for the 75th Maine State Science Fair, with a special emphasis on the ocean’s ecology and its relation to rising temperatures.   Chelsea Gaiero, Jonah Lovejoy, and Grace Hall participated in the April 3 virtual fair, which was organized by The Jackson Laboratory  and the Maine Mathematics and Science Alliance.   The fair comprised 157 students representing 23 schools in eight Maine counties tuned in to present virtual research or engineering projects to a panel of judges and attend events. High school students from across the state competed for prestigious state titles and over $1 million in scholarships and awards.

Artificial Intelligence and drones will help pin down Sosnovsky s hogweed

 E-Mail IMAGE: The input image (left) and the output image (right), processed by the fully convolutional neural network view more  Credit: Skoltech Skoltech scientists have created a new monitoring system for agricultural applications that performs real-time image segmentation on board the drone to identify hogweed. The research was published in a high-profile journal, IEEE Transactions on Computers. Sosnovsky s hogweed is equally hazardous for farming, local ecosystems, and human health. Direct contact with human skin, especially if aggravated by exposure to the Sun, causes severe burns that require continuous medical care and take weeks to heal. The rampant spread of Sosnovsky s hogweed has become a real environmental disaster that extends across the whole of Russia, from its central part to Siberia and from Karelia to the Caucasus. Every year, the government allocates huge budgets (last year, 350 million rubles for Moscow alone) for hogweed elimination. Eradicating

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