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.

How to Get Large Models to Generate Desired Test Cases

Guide to prompt design for test case generation with large models, covering element classification, role/background templates, multi?turn refinement, and Data4Test integration.

AI Engineer Interview Questions: Recurrent Neural Networks

Analysis of fully connected layers' limitations on sequential data and one-hot encoding trade-offs, with embedding and RNN alternatives for efficient sequence modeling.

Smart Classroom IoT Solution

Analysis of an IoT smart classroom solution - hardware connectivity, data interoperability and scenario intelligence for unified, energy-efficient device management.

10 Core Concepts of Large Models

Summary of ten core concepts for efficient AI large models, covering model variants, parameters, context length, tokens, distillation and quantization.

AI Smart Safety Helmet: Passive to Active Protection

Overview of AI smart safety helmet integrating AI vision, vital-sign and environmental sensors for real-time monitoring, alerts, positioning and intelligent management.