Understanding IEEE P802.3dj Ethernet Physical Layer

Analysis of IEEE 802.3dj and 212 Gb/s per-lane PHY: electrical validation, jitter measurement methodology, and implications for hyperscale data center interconnects.

TVS Diode Selection for Surge and ESD Protection in Robots

Technical overview of TVS diode protection for robotic systems: BMS short-circuit, motor drive and DC-DC surge schemes, plus signal interface ESD and EMC considerations.

MAX78002 Evaluation Kit Datasheet

MAX78002 evaluation kit overview: modular I/O for AI prototyping, supporting DVP/CSI cameras, I2S audio/mics, QWIIC expansion, power measurement and debug headers.

Medical Robots in Healthcare Applications

Overview of medical robots in digital health, covering surgical and microrobot applications, AI/ML-enabled perception, sensors, system architecture, and market trends.

Large-Scale Visual SLAM with 3D Gaussian Splatting

LSG-SLAM: a stereo visual SLAM using 3D Gaussian splatting for large-scale outdoor reconstruction, improving tracking stability and mapping quality.

3U VPX XCZU47DR 8-Channel RF Transceiver Module

VPX361 8-channel RF transceiver using Xilinx Zynq UltraScale+ XCZU47DR SoC: eight 14-bit ADCs/DACs up to 6 GHz, 25 Gbps GTY backplane, DDR4/eMMC memory for radar and EW.

10 Key Moments in AI History

A concise technical review of AI history covering 10 pivotal milestones—from Dartmouth and perceptron to deep learning breakthroughs and the rise of large models.

Smart Video Analytics with Edge Computing and Industrial PCs

Overview of intelligent video analytics (IVA), deployment scenarios and why edge computing and industrial computers enable low-latency, secure real-time video AI.

OpenVINO Document OCR with PP-OCRv5 on a Modular Mini-PC

Technical guide to deploying PP-OCRv5 with Intel OpenVINO on a modular mini-PC: export Paddle models to ONNX, run CPU inference, and enable hardware-accelerated OCR.

Embodied Intelligence: A Beginner's Guide

Concise overview of embodied intelligence: definitions, categories (humanoid, wheeled, legged) and core technologies such as motion control and decision-making.

Taisei Case Study: Image Privacy for AI Development

Deep Natural Anonymization (DNAT) replaces faces and plates with synthetic overlays, preserving age/gender for GDPR-compliant privacy and real-time 24 FPS edge processing.

AI Applications for Improving Industrial Automation Stability

Predictive maintenance and digital twin applications for AI-driven industrial process stability, enabling real-time parameter optimization and reduced downtime.

Running the KleidiAI Microkernel on Bare Metal

Run KleidiAI matmul microkernel on bare metal and compare Arm toolchains (AC6, GCC, ATfE) with cycle-count benchmarks and compiler optimization analysis.

FPGA Applications in Machine Learning

Overview of FPGA applications in machine learning: accelerating neural network inference, hardware quantization, algorithm optimization, and efficiency for edge AI deployments.

TI EVM-ARC-AFE Module: Features and Applications

TI EVM-ARC-AFE evaluation module: 4-channel analog front end for AI-based DC arc detection in solar systems, supports data labeling and C2000 controlCARDs.

Precision Comparison: FP64 FP32 FP16 TF32 BF16 INT8

Concise overview of numeric precision formats, FP64, FP32, FP16, TF32, BF16 and int8, comparing bit widths, accuracy trade-offs and use cases for AI training and inference.

Analog Devices MAX78002 AI Microcontroller Datasheet

Overview of the Analog Devices MAX78002 AI microcontroller - ultra-low-power dual-core MCU with power management and edge inference use cases for battery-powered devices.

Key Steps for Edge AI: Hardware Selection and Model Deployment

Edge AI technical overview covering distributed architecture, model lightweighting, data preprocessing, and model deployment to edge devices for real-time inference.

FlashAttention 1/2/3: Transformer attention optimizations

Technical overview of FlashAttention v1–v3: memory-aware tiling, recomputation, and FP8 GPU optimizations that reduce HBM I/O and accelerate Transformer attention.

MT8391 (Genio 720) Specifications for Edge AIoT

Overview of the MediaTek MT8391 (Genio 720) edge AI platform: 6 nm octa-core CPU, 10 TOPS NPU, dual ISPs, LPDDR5 support and multi-interface connectivity for AIoT devices.