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The Application of AI Technology in GPU Scheduling Algorithm Optimization

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The Application of AI Technology in GPU Scheduling Algorithm Optimization | Zhancai Yan, Yaqiu Liu, Hongrun Shao | Artificial intelligence, Computer science, CUDA, GPU cluster, nVidia, Task scheduling


Research Papers based on Multi Agent Systems

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This brief aims to sensitize the reader to EGT based issues, results and prospects, which are accruing in importance for the modeling of minds with machines and the engineering of prosocial behaviours in dynamical MAS, with impact on our understanding of the emergence and stability of collective behaviours.


Pharma 4.0TM -- Key Drivers, Game-Changers, Technologies

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The Digital era has been a boon to the industry. But pharma manufacturers deal with increasingly complex challenges in this digital era. Pharma manufacturers need a holistic approach to increase quality, safety, transparency, agility, and productivity. Pharma 4.0TM, a term coined by ISPE (International Society for Pharmaceutical Engineering) is a concept adopted from Industry 4.0. The concept aims to bring in an interactive system, analytical data, advanced automation, and a simplified regulatory framework.


GrAI Matter Labs Launches Life-Ready AI 'GrAI VIP', A Full-Stack AI System-On-Chip Platform

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GrAI Matter Labs unveils life-ready AI with GrAI VIP at GLOBAL INDUSTRIE. GrAI Matter Labs is a company in brain-inspired ultra-low latency computing that specializes in Life-Ready AI. Artificial Intelligence is the closest thing to natural intelligence. Artificial intelligence that feels alive. They make brain-inspired chips that act like people.


Need Help -- An AI / ML Enthusiast Professional with 18+ years of experience in SAP (ERP)…

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Reaching out to you with a request for Career related advice / input. I am a professional with about 18 years of experience in advisory services and implementation of SAP solutions across industries and geographies, presently working with a consulting firm in the U.S. I am a Chartered Accountant from India by education. From 2018, I started focusing on ML/AI as my parallel interest / career in addition to SAP. For the last four years, I started putting efforts to learn fundamentals of the ML/AI domain. I read multiple blogs, books, completed courses as well as completed PoC for a few Embedded Machine Learning solutions of SAP.


Artificial intelligence predicts patients' race from their medical images

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The miseducation of algorithms is a critical problem; when artificial intelligence mirrors unconscious thoughts, racism, and biases of the humans who generated these algorithms, it can lead to serious harm. Computer programs, for example, have wrongly flagged Black defendants as twice as likely to reoffend as someone who's white. When an AI used cost as a proxy for health needs, it falsely named Black patients as healthier than equally sick white ones, as less money was spent on them. Even AI used to write a play relied on using harmful stereotypes for casting. Removing sensitive features from the data seems like a viable tweak.


CS229: Machine Learning - AI Summary

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CS229: Machine Learning Course Description This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs, practical advice); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. Course Description This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs, practical advice); reinforcement learning and adaptive control.


Artificial Intelligence: The Science Behind The Good Customer Experience - Elets BFSI

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Artificial Intelligence (AI), as one of the leading technological trends, continues to grow in popularity among marketers and sales professionals, and has evolved into an essential tool for brands seeking to provide a hyper-personalized, exceptional customer experience. AI-enhanced customer relationship management (CRM) and customer data platform (CDP) software is now available, bringing AI to the enterprise without the high costs previously associated with the technology. On the basis of exclusive interactions with leaders in the BFSI sector, Nidhi Shail Kujur of Elets News Network (ENN) explores how with constantly evolving technologies, the banking and financial services industry promises to exceed customer expectations. The banking industry is undergoing significant change, particularly with the spread of customer-centricity. We live in a world where the majority of people have access to the internet.


CS221: Artificial Intelligence: Principles And Techniques - AI Summary

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Students should contact the OAE as soon as possible and at any rate in advance of assignment deadlines, since timely notice is needed to coordinate accommodations. It is the student's responsibility to reach out to the teaching staff regarding the OAE letter.Please send your letters to [email protected] by Friday, April 15 (week 3). Specific topics include machine learning, search, game playing, Markov decision processes, constraint satisfaction, graphical models, and logic. Students should make sure that they are able to take the CS 221 final exam at the normal time if they are enrolled in a conflicting course. All projects require that students spend time gathering data, and setting up the infrastructure to reach an end result.


Python and Machine-Learning for Asset Management with Alternative Data Sets

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Founded in 1906, EDHEC is now one of Europe's top 15 business schools . Based in Lille, Nice, Paris, London and Singapore, and counting over 90 nationalities on its campuses, EDHEC is a fully international school directly connected to the business world. With over 40,000 graduates in 120 countries, it trains committed managers capable of dealing with the challenges of a fast-evolving world. Harnessing its core values of excellence, innovation and entrepreneurial spirit, EDHEC has developed a strategic model founded on research of true practical use to society, businesses and students, and which is particularly evident in the work of EDHEC-Risk Institute and Scientific Beta. The School functions as a genuine laboratory of ideas and plays a pioneering role in the field of digital education via EDHEC Online, the first fully online degree-level training platform.