Events & News

Geniatech Automate 2025 Invitation

We look forward to welcoming you and discussing how our solutions can meet your needs Industrial ARM Edge AI • Multiple ARM-embedded edge AI: SoM/SBC/NUC HMI/Gateway/Module• up to 157 TOPS of edge AI computing power• Cost-effective, scalability and flexibility• Ultra-low power, fanless cooling• Fulfill industrial applications (-40℃~85℃)• 10+ years of product longevity program   Industrial […]

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 Tradeshows & Events

2025 Tradeshows & Events CES 2025 📅 Jan 7-10, 2025 🏙️ Las Vegas, NV, US 📍 Booth #52352 Embedded World 2025 📅 March 11-13, 2025 🏙️ Nuremberg, Germany 📍 Booth #4-200 Automate 2025 📅 May 12-15, 2025 🏙️ Detroit, MI, US 📍 Booth #9324 Computex 2025 📅 May 20-23, 2025 🏙️ Taipei, China 📍 Booth #P0532 Past Tradeshows & Events Date Show

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Types of AI Models Explained: A Deep Dive into Architectures and Applications

Artificial Intelligence (AI) models are computational tools designed to simulate aspects of human intelligence. Once trained on large volumes of data, these algorithms evolve into models capable of recognizing patterns, making decisions, and generating insights. The more data they learn from, the more accurate they become. From machine learning and deep learning to generative AI

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NXP-Kinara AI Accelerator Manufacturer

Top AI Accelerator Manufacturers Powering the Future of Edge Intelligence

As artificial intelligence continues to move closer to the edge, choosing the right AI accelerator hardware has become a mission-critical decision for engineers, product designers, and system integrators. Whether you’re building smart cameras, autonomous machines, or retail analytics devices, your hardware must deliver high performance, low latency, and power efficiency—all within constrained embedded environments. This

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SoM vs SoC in Edge AI Applications: Balancing Flexibility, Scalability, and Integration

As edge AI continues to transform industries—from smart cities and autonomous vehicles to factory automation and remote monitoring—hardware architecture plays a crucial role in determining success. Developers are constantly faced with a key decision: should they build around a System on Module or a System on Chip? While both approaches deliver powerful compute capabilities, they

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AI Accelerator Modules: Hardware Design Challenges & Solutions

From ChatGPT and DeepSeek to autonomous vehicles and intelligent security systems, artificial intelligence has rapidly evolved into a cornerstone of digital innovation. But while breakthroughs in algorithms get the spotlight, the reality is that these models rely on equally powerful hardware to run efficiently. Traditional CPUs, even the most powerful ones, struggle to handle the

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Global AI Hardware Landscape 2025: Comparing Leading GPU, FPGA, and ASIC AI Accelerators

The AI hardware market in 2025 encompasses a diverse range of hardware solutions tailored for different performance needs and deployment environments. From massive cloud-based training to compact embedded inference, AI hardware plays a pivotal role in enabling intelligent applications across industries. This article explores the three main categories of AI hardware —GPUs, FPGAs, and ASICs—highlighting

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