AI edge computing Articles - Page 13 of 31

Revealing the Three Major Directions of Embedded Development! High-Paying Paths Unknown to 90% of Programmers

2026-02-10 by boardor

The golden period for programmers to transition has arrived. Embedded development is experiencing an unprecedented boom, yet most people remain stuck in traditional perceptions.By 2025, three high-paying tracks have quietly formed, with opportunities to easily exceed a monthly salary of 20,000 RMB right in front of us. The overlooked technological gold mine To be honest, … Read more

Jetson Thor: NVIDIA’s Next-Generation Robotics Computing Platform Designed for Physical AI and Robotics Applications

2026-02-09 by boardor

NVIDIA has recently officially launched its next-generation robotics computing platform—Jetson Thor, which is positioned as the “new brain for robots,” specifically designed for physical AI and robotics applications. 1. The Context of Physical AI: Why Jetson Thor Represents a Paradigm Shift “Physical AI” emphasizes multimodal agents that operate in real physical environments in real-time, rather … Read more

Applications of FPGA in 5G, AI, and Smart Vehicles

2026-02-09 by boardor

Technology is advancing rapidly,5G, artificial intelligence, and smart vehicles are gradually changing our way of life. FPGA (Field Programmable Gate Array), as a highly customizable hardware, is providing indispensable support for these industries with itsparallel computing, low latency, and flexibility. Today, we will delve into how FPGAs play a crucial role in the practical applications … Read more

Seven Major Trends in the Future of the NPU Chip Market

2026-02-08 by boardor

This article is compiled by Semiconductor Industry Insight (ID: ICVIEWS) from verifiedmarketreports NPU is becoming an important component of high-performance intelligent network architectures. Network Processing Units (NPU) are specialized programmable chips designed for packet detection, forwarding, quality of service (QoS) and the growing demand for AI driven inference, and have now evolved into key accelerators … Read more

NVIDIA Officially Launches Jetson Thor, Accelerating the Local Application of Humanoid Robots and Sparking Growth in Edge Computing

2026-02-07 by boardor

Become a CyberRobo Pro member to unlock more Subscribe now 01. NVIDIA Officially Launches Jetson Thor, Accelerating the Local Implementation of Humanoid Robots, Leading to Potential Explosive Growth in Edge Devices and Computing Modules NVIDIA has finally launched its long-awaited Jetson Thor GPU chip designed for embedded AI applications. This chip allows for local operation, … Read more

Innovative Applications and Entrepreneurial Opportunities of FPGA in the Era of Large Language Models

2026-02-06 by boardor

In the rapidly developing era of large language models (LLMs), FPGAs are ushering in new innovative opportunities due to their unique technical characteristics.Although GPUs and ASICs dominate the training field, FPGAs demonstrate irreplaceable value in inference optimization, edge computing, security and privacy, and task-specific acceleration. This article will delve into the innovative application directions of … Read more

Liulian Intelligent xB20 Series Mini PC: A Reliable Computing Platform for Space-Sensitive Scenarios!

2026-02-05 by boardor

At the juncture of the explosive demand for hybrid work and edge intelligence, the evolution of Mini PCs has shifted from merely reducing size to deeply integrating into specific scenarios. The xB20 series Mini PC developed by Liulian Intelligent, based on the Intel ARL/MTL-U/H｜RPL/ADL-U/P/H｜ADL-N｜JSL platform, precisely aligns with the technical characteristics of Intel’s fourth-generation processors. … Read more

Arm Ethos-U85 NPU: Implementing Generative AI on the Edge with Small Language Models

2026-02-03 by boardor

With the evolution of artificial intelligence (AI), executing AI workloads on embedded devices using small language models (SLM) has become a focal point in the industry. Small language models such as Llama, Gemma, and Phi3 have gained widespread recognition for their excellent cost-effectiveness, high efficiency, and ease of deployment on resource-constrained devices. Arm expects the … Read more