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06/15/2023
Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators
Achieving high accuracy, while maintaining good energy efficiency, in an...
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11/16/2022
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse
Real-time multi-model multi-task (MMMT) workloads, a new form of deep le...
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11/02/2022
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Edge Impulse is a cloud-based machine learning operations (MLOps) platfo...
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01/05/2022
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs
We present CFU Playground, a full-stack open-source framework that enabl...
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11/17/2021
The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage
The People's Speech is a free-to-download 30,000-hour and growing superv...
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02/23/2021
Data Engineering for Everyone
Data engineering is one of the fastest-growing fields within machine lea...
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12/03/2020
MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It
MLPerf Mobile is the first industry-standard open-source mobile benchmar...
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10/21/2020
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers
Executing machine learning workloads locally on resource constrained mic...
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07/21/2020
AI Tax: The Hidden Cost of AI Data Center Applications
Artificial intelligence and machine learning are experiencing widespread...
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03/10/2020
Benchmarking TinyML Systems: Challenges and Direction
Recent advancements in ultra-low-power machine learning (TinyML) hardwar...
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11/06/2019
MLPerf Inference Benchmark
Machine-learning (ML) hardware and software system demand is burgeoning....
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10/02/2019
Quantized Reinforcement Learning (QUARL)
Recent work has shown that quantization can help reduce the memory, comp...
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09/25/2019
