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Early Exiting Predictive Coding Neural Networks for Edge AI  🤖TVM
arxiv.org·1d·
Embedded World 2026: Bringing Edge AI Into The Real World  🔌Embedded Systems
semiengineering.com·4h·
Edge AI for IoT: Use Cases, Benefits and Deployment Challenges  🏙️Smart Cities
iotbusinessnews.com
·21h·
TinyML at CERN: How FPGAs and hls4ml Solve Physics' Biggest Data Problem [2026]  ⚡Hardware Acceleration
dev.to·4d·DEV·
Edge AI Intrusion Sentinel (Offline Smart Security System)  🛡️AI Security
hackster.io·1d·
Edge AI with Direct Device Control — Jeremy Kelaher at AI Engineer Melbourne 2026  🌍Edge Computing
webdirections.org·6d·
WebNN Has a Free API You've Never Heard Of  🍱Nom
apify.com·4d·DEV·
Peterc3-dev/rag-race-router: R.A.G-Race-Router [Adaptive Tri-Processor Inference Runtime] — Self-optimizing CPU+iGPU+NPU inference for AMD Ryzen AI 300 series  ⚡Hardware Acceleration
github.com·3d·Hacker News·
CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing  🔬Deep Learning
arxiv.org·2d·
From Maintaining Open Source Libraries to Building an AI-Powered Tools OS with Rust and WebAssembly  🥖Bun
dev.to·1d·DEV·
Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing  💡Photon
arxiv.org·1d·
Building Sourcing Intel: An AI-Powered Supply Chain Intelligence Platform with On-Device Inference  🚛Supply Chain
dev.to·1d·DEV·
Efficient Few-Shot Learning for Edge AI via Knowledge Distillation on MobileViT  🤖TVM
arxiv.org·3d·
K-Means Based TinyML Anomaly Detection and Distributed Model Reuse via the Distributed Internet of Learning (DIoL)  🚀MLOps
arxiv.org·2d·
EdgeDiT: Hardware-Aware Diffusion Transformers for Efficient On-Device Image Generation  🎮WebGPU
arxiv.org·2d·
Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML  🗜️Columnar Compression
arxiv.org·6d·
Mitigating Temporal Blindness in Kubernetes Autoscaling: An Attention-Double-LSTM Framework  💧Kafka Streams
arxiv.org·1d·
CPUBone: Efficient Vision Backbone Design for Devices with Low Parallelization Capabilities  🎯Intel IPP
arxiv.org·3d·
TinyML for Acoustic Anomaly Detection in IoT Sensor Networks  🔭OpenTelemetry
arxiv.org·3d·
Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware  🚀Performance
arxiv.org·6d·

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