At CES 2026, the world's leading consumer and enterprise technology event, MICROIP Inc. (Emerging Stock Board: 7796), a Taiwan-based provider of ASIC design services and AI software solutions, is showcasing its latest advancements at the AI Applications Pavilion. The company is presenting its CAPS (Cross-Platform AI Powered Solutions) architecture and highlighting AIVO (AI Vision Operation), a flagship Edge AI platform that has already entered commercial deployment.Through a software-defined approach, MICROIP demonstrates how AI applications can be deployed across global environments with lower barriers to entry and higher operational efficiency - bridging the gap between proof-of-concept and real-world deployment.From Technology Demonstration to Operational AIDr. James Yang, Chairman of MICROIP, stated: "CES is not just a venue for showcasing technology—it is where AI must prove its real-world value. AIVO was not designed to maximize model benchmarks or raw hardware performance, but to address real deployment constraints in transportation security, smart agriculture, and autonomous systems, including heterogeneous network conditions, limited edge compute resources, and long-term operational costs.By starting from these real-world constraints, MICROIP has built AIVO as an Edge AI platform that can be deployed, operated, and maintained over time - allowing AI to become part of daily operations rather than remaining at the proof-of-concept stage."CES 2026 Focus: Turning Edge AI into Operational CapabilityCAPS is MICROIP's  cross-platform AI software design framework, developed to help customers define AI systems that are deployable and maintainable in production environments. At CES 2026, MICROIP presents AIVO as a reference implementation of CAPS, demonstrating how Edge AI evolves from pilot projects into scalable, operational systems.Positioned as the deployment-focused pillar within the CAPS architecture, AIVO addresses two of the most persistent challenges in Edge AI: bandwidth constraints and multi-task processing at the edge.Distributed Master–Client Architecture for Large-Scale Edge DeploymentTo support geographically distributed and large-scale deployments, AIVO adopts a master–client distributed architecture. Real-time inference is performed locally on edge devices, while system management and decision logic are centralized at the host level.Instead of streaming raw video data, edge nodes transmit only structured inference results and metadata. This design significantly reduces bandwidth requirements and allows the system to maintain centralized oversight and real-time responsiveness - even in 4G/5G or unstable network environments.Real-Time Heterogeneous Multi-Tasking at the EdgeAIVO integrates a dynamic resource scheduling mechanism that enables multiple AI models to run concurrently on a single hardware platform. In security scenarios, object detection, behavior analysis, and environmental sensing models can operate in parallel, with compute resources allocated dynamically based on task priority.This ensures that mission-critical events are processed and responded to in real time, even under constrained edge compute conditions.Proven Edge AI Applications Across Transportation, Agriculture, and Autonomous SystemsLeveraging its system architecture, AIVO has completed multiple international field validations and is now focused on high-reliability application domains worldwide:Transportation Security: AIVO is being rolled out across metro systems, railways, buses, commercial aviation, and airport environments. Edge-based AI enables real-time detection of anomalous behavior, with alerts integrated into control centers or government security systems—enhancing response capability without increasing manpower requirements.Smart Agriculture: Addressing labor shortages and an aging workforce in U.S. agriculture, AIVO uses computer vision to monitor livestock health and environmental conditions. Expert knowledge from experienced farmers is encoded into AI models, while optimized system design ensures stable operation under low-power and limited-network farm environments.AI Drones and Robotics: For infrastructure inspection and disaster response, AIVO strengthens on-device autonomy. Even in GPS-denied or connectivity-limited conditions, drones and robots can perform real-time object tracking and dynamic obstacle avoidance, expanding the use of autonomous systems in high-risk scenarios.CAPS Ecosystem: Software-Driven Hardware Through Global PartnershipsDr. Yang emphasized that CAPS represents MICROIP's holistic vision for AI software design services:"Through vertical integration of AIVO as the deployment platform, XEdgAI as the system development platform, and CATS as our custom ASIC service, we establish a core advantage where software defines hardware specifications and real-world applications validate design direction."To accelerate global adoption of this model, MICROIP announced at CES 2026 strategic partnerships with Axelera AI (Europe), Axiomtek, Lex System, and U.S.-based Physical AI and robotics integration startup Universal AI Services, forming an international Edge AI alliance.Through CAPS' cross-platform compatibility, MICROIP has integrated mainstream AI chip platforms with industrial-grade hardware to deliver end-to-end, software-defined hardware Edge AI solutions. This strengthens MICROIP's technical leadership within the Edge AI ecosystem and enables customers worldwide to deploy high-performance, low-power AI systems across transportation, agriculture, and robotics applications.CES 2026 Exhibition Information – Next-Generation Edge AI Solutions,Dates: January 6–9, 2026;Location: Las Vegas, USA; Hall: North Hall;Booth: #9277.For more information on MICROIP, please visit MICROIP website.

DigiKey, has introduced an industry-power supply configuration tool, which simplifies the process of designing power supply solutions.Developed for engineers, designers, and system integrators, this intuitive online tool enables the quick selection of key attributes - such as outputs, voltage, current and more - to generate a tailored power supply solution that meets users’ desired requirements. Once configured, the custom power supply is assembled and shipped directly within days. Hosted on DigiKey's trusted, high-performance website, the configurator enables fast and accurate selection and sourcing - making it easier than ever to design, customize and order the right power solution for the project."DigiKey is thrilled to offer this industry-first tool that allows our customers to configure their own power supply independently," said Heather Fulara, senior director, interconnect and electromechanical for DigiKey. It dramatically reduces the time it takes to acquire a configured unit, which allows for more efficient workflows, saving time and accelerating design.The tool available from DigiKey currently features the NEVO+ and VCCM series from Vox Power, which is the first supplier involved in the program."Vox Power is proud to collaborate with DigiKey as the first supplier to participate in this innovative, time-saving tool," said Marco Prinsloo, co-owner of Vox Power. "We trust DigiKey's expertise in making our customers' designs come together seamlessly through its efficient online design and customization options."

EDOM Technology (TWSE: 3048), Asia’s best solutions provider, today announces the introduction of NVIDIA Jetson T4000 edge AI module, addressing the growing demand from system integrators, equipment manufacturers, and enterprise customers for balanced performance, power efficiency, and deployment flexibility. With powerful inference capability and a lightweight design, NVIDIA Jetson T4000 enables faster implementation of practical physical AI applications.Powered by NVIDIA Blackwell architecture, NVIDIA Jetson T4000 supports Transformer Engine and Multi-Instance GPU (MIG) technologies. The module integrates a 12-core Arm Neoverse-V3AE CPU, three 25GbE network interfaces, and a wide range of I/O options, making it well suited for low-latency, multi-sensor, and real-time computing requirements. In addition, Jetson T4000 features a third-generation programmable vision accelerator (PVA), dual encoders and decoders, and an optical flow accelerator. These dedicated hardware engines allow stable AI inference even under constrained compute and power budgets, making the platform particularly suitable for mid-range models and real-time edge applications.For system integrators (SIs), the modular architecture of Jetson T4000, combined with NVIDIA's mature software ecosystem, enables rapid integration of vision, sensing, and control systems. This significantly shortens development and validation cycles while improving project delivery efficiency especially for multi-site and scalable edge AI deployments.For equipment manufacturers, Jetson T4000's compact form factor and low-power design allow flexible integration into a wide range of end devices, including advanced robotics, industrial equipment, smart terminals, machine vision systems, and edge controllers. These capabilities help manufacturers bring stable AI inference into products with limited space and power budgets, accelerating intelligent product upgrades.Enterprise users can deploy Jetson T4000 across diverse scenarios such as smart factories, smart retail, security, and edge sensor data processing. By performing inference and data pre-processing at the edge, organizations can reduce system latency, lower cloud workloads, and improve overall operational efficiency - while maintaining system stability and deployment flexibility.In robotics and automation applications, Jetson T4000 features low power consumption, high speed I/O and compact footprint make it an ideal platform for small mobile robots, educational robots, and autonomous inspection systems, delivering efficient and reliable AI computing for a wide range of automation use cases.NVIDIA Jetson product lineup spans from lightweight to high-performance modules, including Jetson T4000 and T5000, addressing diverse requirements ranging from compact edge devices and industrial control systems to higher-performance inference applications. With NVIDIA's comprehensive AI development tools and SDKs, developers can rapidly port models, optimize inference performance, and seamlessly integrate AI capabilities into existing system architectures.Beyond supplying Jetson T4000 modules, EDOM Technology leverages its extensive ecosystem of partners across chips, modules, system integration, and application development. Based on the specific development stages and requirements of system integrators, equipment manufacturers, and enterprise customers, EDOM provides end-to-end support - from early-stage planning and technical consulting to ecosystem enablement. By sharing ecosystem expertise and practical experience, EDOM helps both existing customers and new entrants to the edge AI domain quickly build application capabilities and deploy edge AI solutions tailored to real-world scenarios.For more information on NVIDIA Jetson T4000, please visit website.