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57 resources related to
Ai Accelerators
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Related topics
Neuromorphic engineering
Multiprocessing systems
Graphics Processing Units
Coprocessors
Field programmable gate arrays
Application specific integrated circuits
Neural Networks
Neural network hardware
System-on-chip
Learning (artificial Intelligence)
Xplore Articles related to Ai Accelerators
Deep as chips: Artificial intelligence is appearing everywhere, but normal CPUs are not efficient platforms for the technology. Efficiency will only come with a new breed of microprocessors that are engineered specifically for the AI workload of the 2020s
Hybrid Dynamic Fixed Point Quantization Methodology for **AI Accelerators**
Special Session: XTA: Open Source eXtensible, Scalable and Adaptable Tensor Architecture for AI Acceleration
A CMOS Image Sensor and an AI Accelerator for Realizing Edge-Computing-Based Surveillance Camera Systems
Memory Circuit & Technology Co-Design for AI Applications
Chip Design of Convolution Computation for AI Network
Edge Artificial Intelligence Chips for the Cyberphysical Systems Era
Chip-to-Chip/Wafer Three-Dimensional Integration of 2.5 mm-sized Neuron and Memory Chips by Via-Last Approach
mTREE: A customized multicast-enabled tree-based network on chip for AI chips
Special Session - Test for AI Chips: from DFT to On-line Testing
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E-books related to Ai Accelerators
Data Orchestration in Deep Learning Accelerators
Efficient Processing of Deep Neural Networks
Introduction
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Most published Xplore authors for Ai Accelerators
Kaniz Mishty
Mehdi Sadi
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