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Data Engineering for Everyone
Data engineering is one of the fastest-growing fields within machine lea...
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RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
Deep reinforcement learning (RL) has made groundbreaking advancements in...
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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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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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MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers
Executing machine learning workloads locally on resource constrained mic...
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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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AI Tax: The Hidden Cost of AI Data Center Applications
Artificial intelligence and machine learning are experiencing widespread...
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Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins
Modern large-scale computing systems (data centers, supercomputers, clou...
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Benchmarking TinyML Systems: Challenges and Direction
Recent advancements in ultra-low-power machine learning (TinyML) hardwar...
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Quantized Neural Network Inference with Precision Batching
We present PrecisionBatching, a quantized inference algorithm for speedi...
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MLPerf Inference Benchmark
Machine-learning (ML) hardware and software system demand is burgeoning....
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MLPerf Training Benchmark
Machine learning is experiencing an explosion of software and hardware s...
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Quantized Reinforcement Learning (QUARL)
Recent work has shown that quantization can help reduce the memory, comp...
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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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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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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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Accelerator-level Parallelism
Future applications demand more performance, but technology advances hav...
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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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The Role of Compute in Autonomous Aerial Vehicles
Autonomous-mobile cyber-physical machines are part of our future. Specif...
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Deep Reinforcement Learning for Cyber Security
The scale of Internet-connected systems has increased considerably, and ...
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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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MAVBench: Micro Aerial Vehicle Benchmarking
Unmanned Aerial Vehicles (UAVs) are getting closer to becoming ubiquitou...
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Domain Specific Approximation for Object Detection
There is growing interest in object detection in advanced driver assista...
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