OpenAI Sora: a new AI model for video generation

Technical overview of OpenAI's Sora and its video generation capabilities, core machine learning foundations, and potential impacts on production workflows and society.

Four Methods for Fine-Tuning Large Models

Technical overview of large-model fine-tuning and PEFT approaches, covering prompt/prefix tuning, P-tuning v2, AdaLoRA, adapter/LoRA methods and standard training workflow.

Popular LLM Inference Stacks and Setups

Survey of LLM inference stacks covering throughput, latency and cost; explains hardware constraints, KV cache, quantization, paged/grouped attention, and practical optimizations.

ByteDance MegaScale: Techniques for 10,000+ GPU Training

MegaScale system design and deployment for efficient, stable LLM training on 10,000+ GPUs: algorithm, communication, network tuning, fault tolerance, MFU gains.

Why GPUs Are Suited for AI: AI Server Supply Chain Analysis

Technical overview of AI servers, GPU/CPU architectures, training vs inference, compute demand and market estimates, including H100/A100 performance and China server market

How to Achieve a Trillion-Transistor GPU

Analysis of semiconductor advances enabling AI scale: 3D integration, CoWoS/HBM packaging, silicon photonics and energy-efficient trends toward trillion-transistor GPUs.

Five Core Network Requirements for Large AI Models

Network requirements for large-model GPU training: RDMA-based bandwidth, ultra-low latency, stability, and automated deployment for scalable multi-GPU clusters.

Memory Interface Chips for AI Servers

Technical overview of AI server interconnects and components: DGX H100 architecture, PCIe switches and Retimers, and DDR5 memory interface chip trends.

VCS Verification Flow with VSO.ai

Overview of Synopsys VSO.ai integration into VCS and its AI-driven verification methods to accelerate coverage convergence, infer coverage, and reduce redundant regressions.

Deploy DeepSeek LLM on ELF 2 (RK3588) Development Board

Guide to converting and deploying the DeepSeek LLM on Rockchip RK3588 using RKLLM-Toolkit: environment setup, cross-compilation, model conversion and board deployment.

AI-RAN Alliance Advances AI Integration in RAN

Overview of the AI-RAN Alliance formed at MWC 2024, its goals to integrate AI into radio access networks for 5G/6G, edge AI deployment, and contrast with OpenRAN.

AI and Machine Learning on Low-Power Microcontrollers

Technical overview of TinyML on MCUs: frameworks, model optimization (quantization, pruning), accelerators, toolchains, and deployment guidance for embedded systems.

AIGC basics and industry applications

Overview of AIGC and ChatGPT: technologies, industry chain, applications in text/image/video, e-commerce impact, and prompt engineering best practices.

Common Deep Learning Methods for Small Object Detection

Survey of techniques for small object detection and face detection: image pyramids, FPNs, data augmentation, anchor strategies, SNIP/SNIPER training and context modeling.

Fourier Transform Fundamentals and Machine Learning Uses

Explains Fourier transform fundamentals, FFT use in signal processing and machine learning, and Python time-series examples for frequency-domain feature extraction.

AI in Image Super-Resolution and Upscaling

AI super-resolution and upscaling: GPU and transfer-learning advances, training-data limits, and applications in satellite, medical, gaming, and video-conferencing.

Visualization Techniques for Machine Learning

Guide to machine learning visualization techniques covering model structure, performance plots (ROC, confusion matrix), feature importance, and practical analysis.

EASY EAI Nano-TB (RV1126B) AIoT Board Data Sheet

Technical overview of the EASY EAI Nano-TB AIoT mainboard (RV1126B): quad-core Cortex-A53, up to 3 Tops NPU, dual MIPI CSI, MIPI DSI, dual GbE, WiFi 6, USB, GPIO, Linux SDK.

Mixture-of-Experts (MoE) Models: Structure and Trade-offs

Overview of Mixture-of-Experts (MoE) transformers: sparse routing with gating networks and experts, training and inference trade-offs, and recent Mistral-8x7B-MoE.

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.