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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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06/15/2023
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
Machine learning is a prevalent approach to tame the complexity of desig...
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06/15/2023
Datasheets for Machine Learning Sensors
Machine learning (ML) sensors offer a new paradigm for sensing that enab...
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05/22/2023
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
The generative AI revolution in recent years has been spurred by an expa...
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01/27/2023
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers
The sustained growth of carbon emissions and global waste elicits signif...
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01/26/2023
GPU-based Private Information Retrieval for On-Device Machine Learning Inference
On-device machine learning (ML) inference can enable the use of private ...
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11/29/2022
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration
Microprocessor architects are increasingly resorting to domain-specific ...
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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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07/20/2022
DataPerf: Benchmarks for Data-Centric AI Development
Machine learning (ML) research has generally focused on models, while th...
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06/07/2022
Machine Learning Sensors
Machine learning sensors represent a paradigm shift for the future of em...
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05/11/2022
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
Machine learning (ML) has become a pervasive tool across computing syste...
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05/08/2022
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2
Hardware acceleration can revolutionize robotics, enabling new applicati...
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05/06/2022
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles
The processing requirement of autonomous vehicles (AVs) for high-accurac...
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05/06/2022
OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge
Autonomous machines (e.g., vehicles, mobile robots, drones) require soph...
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03/05/2022
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
Multiparty computation approaches to secure neural network inference tra...
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01/13/2022
FARSI: Facebook AR System Investigator for Agile Domain-Specific System-on-Chip Exploration
Domain-specific SoCs (DSSoCs) are attractive solutions for domains with ...
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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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11/06/2021
Roofline Model for UAVs:A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones
We present a bottleneck analysis tool for designing compute systems for ...
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09/14/2021
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients
We introduce GRiD: a GPU-accelerated library for computing rigid body dy...
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09/02/2021
An Electro-Photonic System for Accelerating Deep Neural Networks
The number of parameters in deep neural networks (DNNs) is scaling at ab...
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08/30/2021
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity
The limited onboard energy of autonomous mobile robots poses a tremendou...
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07/12/2021
Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments
Nano quadcopters are ideal for gas source localization (GSL) as they are...
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06/10/2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
We show that aggregated model updates in federated learning may be insec...
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06/07/2021
Widening Access to Applied Machine Learning with TinyML
Broadening access to both computational and educational resources is cri...
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04/03/2021
Few-Shot Keyword Spotting in Any Language
We introduce a few-shot transfer learning method for keyword spotting in...
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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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02/08/2021
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
Deep reinforcement learning (RL) has made groundbreaking advancements in...
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02/05/2021
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots
Building domain-specific architectures for autonomous aerial robots is c...
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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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10/17/2020
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
Deep learning inference on embedded devices is a burgeoning field with m...
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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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06/01/2020
Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins
Modern large-scale computing systems (data centers, supercomputers, clou...
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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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02/26/2020
Quantized Neural Network Inference with Precision Batching
We present PrecisionBatching, a quantized inference algorithm for speedi...
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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
MLPerf Training Benchmark
Machine learning is experiencing an explosion of software and hardware s...
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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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10/02/2019
GLADAS: Gesture Learning for Advanced Driver Assistance Systems
Human-computer interaction (HCI) is crucial for the safety of lives as a...
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09/29/2019
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference
Conventional hardware-friendly quantization methods, such as fixed-point...
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09/25/2019
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
Fully autonomous navigation using nano drones has numerous application i...
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07/02/2019
Accelerator-level Parallelism
Future applications demand more performance, but technology advances hav...
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06/26/2019
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers
Today's cloud service architectures follow a "one size fits all" deploym...
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06/24/2019
The Role of Compute in Autonomous Aerial Vehicles
Autonomous-mobile cyber-physical machines are part of our future. Specif...
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06/13/2019
Deep Reinforcement Learning for Cyber Security
The scale of Internet-connected systems has increased considerably, and ...
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06/02/2019
Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots
We introduce Air Learning, an AI research platform for benchmarking algo...
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05/15/2019
MAVBench: Micro Aerial Vehicle Benchmarking
Unmanned Aerial Vehicles (UAVs) are getting closer to becoming ubiquitou...
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10/04/2018