Category: Books- GenAI, AI, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Data Mining, Data Management, Big Data,

Conversational AI Dialogue Systems, Conversational Agents, and Chatbots

Conversational AI Dialogue Systems, Conversational Agents, and Chatbots Michael McTear, Ulster University Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to...

AI for Computer ArchitecturePrinciples, Practice, and Prospects

AI for Computer Architecture. Principles, Practice, and Prospects Lizhong Chen, Oregon State UniversityDrew Penney, Oregon State UniversityDaniel Jiménez, Texas A&M University Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture...

Deep Learning , Compilers, and Processors for Large-Scale Production

The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are...

Data Orchestration in Deep Learning Accelerators

Morgan & Claypool  BUY THIS BOOK Check if you have access via Synthesis Digital Library Tushar Krishna, Georgia Institute of TechnologyHyoukjun Kwon, Georgia Institute of TechnologyAngshuman Parashar, NVIDIAMichael Pellauer, NVIDIAAnanda Samajdar, Georgia Institute of Technology Modern DNNs have...

I Heart Logs: Event Data, Stream Processing, and Data Integration

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An Artificial Revolution: On Power, Politics and AI

by Ivana Bartoletti  (Author)  AI has unparalleled transformative potential to reshape society but without legal scrutiny, international oversight and public debate, we are sleepwalking into a future written by algorithms which encode regressive biases into our...

Efficient Processing of Deep Neural Networks

Vivienne Sze, MITYu-Hsin Chen, MITTien-Ju Yang, MITJoel S. Emer, MIT and Nvidia Research This book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different...