An MLIR pass can fold 0 * Inf into a quiet NaN attribute during constant folding, producing structurally valid but numerically meaningless IR that surfaces later as a distant accuracy regression in an…
A Qualcomm engineer measured five Short-Time Fourier Transform (STFT) implementations on a Snapdragon SM8650 test unit, finding that CPU and DSP backends achieve near-zero error against a NumPy refere…
Physical AI requires a systems architecture approach rather than simply scaling up models, according to a sponsored analysis in EE Times. The shift from cloud-based AI to edge computing demands closed…
A new architecture called CaSA (Charge-Sharing Architecture) performs LLM inference directly inside commodity DRAM using processing-in-memory, bypassing the memory bus to solve the memory wall bottlen…
A developer's guide explains why edge AI benchmarking on Android requires measuring thermal throttling, memory pressure, and accuracy loss—not just execution time—and recommends using Kotlin 2.x with …
Google's AICore transforms AI models from app-bundled assets into system services on Android, enabling heterogeneous parallelism across NPU, GPU, and DSP. The approach addresses the memory wall via ze…
An Android developer explains how to implement always-on audio AI using a Digital Signal Processor (DSP) to avoid battery drain and overheating. The post details the hardware paradox where CPUs are to…
A developer explains that the primary bottleneck in edge AI inference on Android devices is the memory wall caused by excessive data copying, not the neural network itself. They advocate for zero-copy…
Google's AICore enables on-device LLMs like Gemini Nano by leveraging weight pruning and sparsity to reduce model size and power consumption. The Lottery Ticket Hypothesis guides pruning to identify c…
Ceva announced on July 6, 2026, that a major U.S. software and AI platform company licensed its NeuPro-M NPU IP for a custom AI silicon program targeting next-generation intelligent computing devices.…
AI infrastructure is entering a new phase focused on rack-scale system composition for agentic AI workflows, where CPUs play critical orchestration roles alongside accelerators. The shift from single-…
Microsoft released Windows Subsystem for Linux (WSL) 3 as a beta preview at Build 2026, introducing paravirtualization to give Linux direct access to GPUs and NPUs without performance overhead. The up…
Researchers introduced llada.cpp, the first NPU-aware inference framework for accelerating diffusion large language models on smartphones, achieving 17x-42x latency reduction over CPU baselines while …
A developer built a real-time YOLOv8n UAV detection pipeline on the Rockchip RK3588S SoC that runs at 46 FPS using all three NPU cores, saturating the camera's frame rate. The pipeline uses only ~140 …
Qualcomm announced the Snapdragon C Platform for budget Windows-on-Arm laptops priced around $300, featuring a custom Kryo CPU and an integrated NPU for on-device AI, though the platform will not supp…
Microsoft released a preview update for Windows 11 that promises faster application launches and introduces new AI-powered features. The update adds Task Manager integration with the NPU (Neural Proce…
LiteRT, a cross-platform framework for on-device AI, enables developers to leverage Neural Processing Units (NPUs) for faster and more efficient AI features like real-time video effects and speech rec…