Guide to Machine Learning Basics
Learn the basics of machine learning, types, key concepts like overfitting, and practical examples like wine classification.
Learn the basics of machine learning, types, key concepts like overfitting, and practical examples like wine classification.
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.
Technical overview of differential scanning calorimeter capabilities and selection: measuring polymers, metals, chemical kinetics, pharma and food stability, and DZ-DSC models.
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.
MAX78002 evaluation kit overview: modular I/O for AI prototyping, supporting DVP/CSI cameras, I2S audio/mics, QWIIC expansion, power measurement and debug headers.
Guide to prompt design for test case generation with large models, covering element classification, role/background templates, multi?turn refinement, and Data4Test integration.
Review of artificial intelligence applications in military intelligence: current uses, an AI-driven intelligence service model, US projects, trends and technical challenges.
Analysis of fully connected layers' limitations on sequential data and one-hot encoding trade-offs, with embedding and RNN alternatives for efficient sequence modeling.
Hands-on review of the ELF 2 learning board with RK3588: hardware, documentation, embedded Linux and AI tutorials, multimedia interfaces, expandability and suggested improvements.
Overview of 12 deep learning interview questions highlighting core concepts and training considerations, including batch normalization and practical model evaluation.
Overview of convolutional neural networks: how filters, sliding-window local matching, convolution, ReLU activations, and pooling produce feature maps for image classification.
Technical overview of voice recognition (ASR) in communications: development, mobile and smart home applications, assistive uses, and future trends with 5G.
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.
Technical overview of compute scheduling in the compute network, covering orchestration, cross-domain scheduling, cost and latency tradeoffs, and platform architecture.
Overview of Analog Devices' MAX78002 MCU with integrated CNN accelerator for edge AI: architecture, low-power SIMO/DVS power management, interfaces, and EV kit.
RK3576-based AI gateway for power station buildings: hardware selection, interfaces (UART, Ethernet, video), Linux performance and multi-sensor fault monitoring.