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March 21, 2023
/PRNewswire/ -- Exxact Corporation, a leading provider of high-performance computing (HPC), artificial intelligence (AI), and data center solutions, announced...
March 21, 2023
Mumbai (Maharashtra) [India], March 21 (ANI/PRNewswire): Analytics & AI solutions company, Course5 Intelligence, today announced the integration of Microsoft-backed OpenAI's GPT (Generative Pre-trained Transformer) models with their AI-based Augmented Analytics platform, Course5 Discovery, and Competitive & Market Intelligence platform, Course5 Compete. Course5 Discovery is an AI-Powered Augmented Analytics platform that incorporates the best of traditional Machine Learning and Deep ...
March 21, 2023
The integration will help leverage enterprise data and power insights adoption via the company's solution platforms, Course5 Discovery and Course5 Compete LONDON, March 21, 2023 /PRNewswire/
March 21, 2023
Erecting unprecedent Competitive Edge and Barriers to Entry Waltham, Mass., March 21, 2023 (GLOBE NEWSWIRE) --  Nano Dimension Ltd. (Nasdaq: NNDM,...
March 21, 2023
In recent months, we have been saturated with media coverage involving artificial intelligence (“AI”).  Almost daily there are articles about AI platforms including DALL-E, Midjourney,...
March 21, 2023
Men are harnessing the power of ChatGPT to find love online. These singles are asking the chatbot to write dating profiles and messages to send to potential matches - but some say it is dishonest.
March 19, 2023
AI's use has skyrocketed thanks to its ability to automate basic tasks. Here are 5 skills you can skip learning and use AI instead.
March 18, 2023
Framework that captures the characteristics of programming systems, makes it possible to compare and better understand them and find interesting new points in their design space.
March 17, 2023
The current study is a real-life demonstration of how ChatGPT could help users interested in OBG topics by making available introductory information about any area in this discipline.
March 17, 2023
Various effective deep networks have been developed for analysis of 3D point clouds. One key step in these networks is to aggregate the features of orderless points into a compact representation for the cloud. As a typical order-invariant aggregation method, max-pooling has been widely applied. However, while enjoying simplicity and high efficiency, max-pooling does not fully exploit the feature information since it not only ignores the non-maximum elements in each feature dimension but also neg...