VLM Lets RDK X5 Follow 'Walk' and Avoid Obstacles

Hierarchical reinforcement learning framework where a vision-language model outputs intermediate instructions and low-level RL maps them to morphology-specific robot actions.

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.

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.

Greg Wilson on Public Sector AI Responsibility

Microsoft’s government CTO details public sector AI adoption, cloud migration, ethical AI governance, and cybersecurity practices to enable secure, data-driven government services.

ADI MAX78002 MCU for Edge AI Applications

Overview of Analog Devices' MAX78002 MCU with integrated CNN accelerator for edge AI: architecture, low-power SIMO/DVS power management, interfaces, and EV kit.

RZ/A2M Microprocessor Datasheet for Embedded AI Imaging

RZ/A2M MPU for high-speed embedded AI image processing: hybrid DRP preprocessing tightly coupled with a Cortex-A9 CPU, up to 4MB SRAM and multiple PWM outputs.

Predicting Fall Risk with Computer Vision and ML

Study summary: Azure Kinect computer vision and machine learning for gait recognition—classifying normal, pelvic obliquity, and knee hyperextension; SVM/KNN top accuracy.

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.

Artificial Intelligence in Military Intelligence

Review of artificial intelligence applications in military intelligence: current uses, an AI-driven intelligence service model, US projects, trends and technical challenges.

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.

What Is an AI Agent

Technical overview of AI agents: how they use machine learning and multimodal data to perform tasks, make decisions, and enable applications in healthcare and autonomy.

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.

Voice Recognition Applications in Communications

Technical overview of voice recognition (ASR) in communications: development, mobile and smart home applications, assistive uses, and future trends with 5G.

12 Core Machine Learning Interview Questions

Overview of 12 deep learning interview questions highlighting core concepts and training considerations, including batch normalization and practical model evaluation.

Convolutional Neural Networks: Analysis and Practice

Overview of convolutional neural networks: how filters, sliding-window local matching, convolution, ReLU activations, and pooling produce feature maps for image classification.

AI Compute Server Technology and Industry Chain Report

Technical overview of compute scheduling in the compute network, covering orchestration, cross-domain scheduling, cost and latency tradeoffs, and platform architecture.