The company stated on the 7th that it will supply actuators for Atlas, Boston Dynamics’s next-generation humanoid robot. As part of its new $26 billion U.S. investment, Hyundai Motor Group (HMG) plans to build and deploy tens of thousands of robots over the next few years, and the collaboration with Hyundai Mobis will help accelerate Boston Dynamics and HMG’s mass production plans for Atlas.

Through this agreement, Hyundai Mobis secures its first official customer in the robotics sector, marking a significant milestone as it enters the global robot components market.

Over the past several years, Hyundai Mobis has steadily expanded beyond the automotive industry and reshaped its business portfolio to include high–value-added fields such as robotics. This transformation aligns with the company’s mid- to long-term strategy to proactively respond to the rapidly evolving mobility landscape and establish a sustainable business foundation.

Hyundai Mobis is leveraging its accumulated expertise in automotive component development and large-scale manufacturing to enter the robot actuator market, a field closely aligned with its core capabilities. Actuators, which convert control signals into physical movement, are a critical subsystem for humanoid robots and represent more than 60% of their material cost.

The strategic cooperation between Hyundai Mobis and Boston Dynamics, along with the agreement on actuator supply, is expected to benefit both companies. Boston Dynamics is said to have highly valued Hyundai Mobis’s engineering expertise, reliability-based evaluation systems, and global-standard mass production capabilities.

For Hyundai Mobis, securing Boston Dynamics, a global leader in robotics, as its first customer in the field provides a stable long-term demand partner. The company plans to use this momentum to establish a large-scale actuator manufacturing system and strengthen its design capabilities for high-performance robotics components.

The collaboration is expected to help both companies carve out leadership positions in the emerging robotics components industry. As the robot component market currently lacks a dominant global player, establishing a reliable, cost-competitive large-scale supply system could allow both companies to achieve economies of scale early.

In August of last year, Hyundai Motor Group announced plans to build a robot factory capable of producing 30,000 units annually and develop the site into a robotics production hub for the North American region. With growing demand expected for various components needed for robot manufacturing, Hyundai Mobis is projected to play an increasingly significant role in the robotics ecosystem.

For more information, visit mobis.com.

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Bentley Asset Analytics includes OpenTower iQ for telecommunication towers and Blyncsy for road networks. The acquisitions expand Bentley’s offerings in telecommunications and electric utilities, supporting integrated digital workflows for 5G deployments and grid modernization. As next-generation networks and electrification increase demand, the added capabilities help infrastructure owners digitize, analyze and optimize assets at scale.

Talon provides solutions for site surveys, inspections and asset digitization for wireless telecom, broadband and electric utilities. Its platform combines workflow automation, digital twins and AI to help organizations manage recurring tasks and inspections and assess asset conditions over time.

Bentley’s acquisition of Pointivo’s technologies, including its intellectual property and technical expertise, adds capabilities to Bentley Asset Analytics in drone data processing, AI-based damage detection and geolocation. Bentley said the additions will support its platform for AI-driven asset insights.

Dechert LLP acted as legal advisor to Bentley in the transactions, for which financial details were not disclosed.

For more information, visit bentley.com.

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Converting design sketches into production specifications typically involves multiple handoffs between design and development teams and substantial manual data entry. With FlexPLM’s AI-driven tech pack generation, teams can extract information from design drawings and use it to populate bills of materials (BOMs), measurements, construction details, attributes and colorways.

PTC said the update supports its Intelligent Product Lifecycle approach, which combines structured product data with AI to improve workflow efficiency and decision-making across the product lifecycle.

At NRF, PTC will demonstrate FlexPLM features related to product development, supply chain visibility, and sustainability and regulatory requirements. Attendees can visit Booth #3346 for demonstrations and to speak with PTC retail specialists.

For more information, please visit ptc.com.

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Key highlights:

• Revenue outlook: The aerospace and defense business is forecast to have grown more than 15% in 2025 and more than 20% in 2026. Revenue from production printing systems and custom metal parts is expected to exceed $35 million in 2026.
• Capacity expansion: 3D Systems plans to add up to 80,000 square feet to its Littleton, Colorado, facility to increase capacity for application development, process qualification, validation and production-scale manufacturing.
• Qualification and certification: The Littleton facility has been selected for certification under the America Makes JAQS-SQ framework to support qualified additive manufacturing production for defense applications.
• Metal printing R&D: The company is continuing an $18.5 million U.S. Air Force-sponsored program to develop next-generation laser powder-bed fusion technologies for large-format metal part production, with milestones scheduled through 2027.
• U.S. manufacturing footprint: 3D Systems said its U.S. operations span system design in San Diego, California, printer manufacturing in Rock Hill, South Carolina and metal parts production and application development in Littleton, Colorado, with plans extending to 2027.
• International operations: The company said it supports non-U.S. aerospace and defense customers through operations in Leuven, Belgium, and Riom, France, and through a joint venture in Saudi Arabia that is pursuing localized additive manufacturing for aerospace and defense applications.

The Littleton expansion supports 3D Systems’ application-focused strategy that combines hardware, materials, software and engineering support across four areas:

• Supply chain resilience: Regional manufacturing is intended to reduce lead times and supply risk for time-sensitive programs. The company cited work with Huntington Ingalls Industries on copper-nickel (CuNi30) alloy solutions for naval components to shorten production timelines.
• New application development: Through its Application Innovation Group, 3D Systems works with customers on lightweight and consolidated part designs. The expanded Littleton Center is expected to support qualification and scale-up through engineering collaboration, pilot production and technology transfer.
• Printing solutions: The company’s low-oxygen direct metal printing process is intended to support consistent output for aerospace and defense applications. In collaboration with NIAR and the America Makes Joint Metal Additive Database Definition effort, 3D Systems is working to develop material allowables on the DMP 350 platform for additional end uses, including flight applications.
• Propulsion and casting applications: QuickCast Air and additive casting workflows are used to produce complex geometries and iterate designs for aviation, space and energy applications. The company is also participating in the Penn State-led IMPACT 3.0 program focused on integrating additive manufacturing into casting and forging workflows.

For more information, visit 3dsystems.com.

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To support development, NVIDIA will provide AI infrastructure, simulation libraries, models, frameworks and blueprints, while Siemens will commit hundreds of industrial AI experts and leading hardware and software.

Accelerating the entire industrial lifecycle

Siemens and NVIDIA will work together to build AI-accelerated industrial solutions across the full lifecycle of products and production, enabling faster innovation, continuous optimization and more resilient, sustainable manufacturing. The companies aim to build the world’s first fully AI-driven, adaptive manufacturing sites globally, starting in 2026 with the Siemens Electronics Factory in Erlangen, Germany, as the first blueprint.

Using an “AI Brain,” — powered by software-defined automation and industrial operations software, combined with NVIDIA Omniverse libraries and NVIDIA AI infrastructure, factories can continuously analyze their digital twins, test improvements virtually and turn validated insights into operational changes on the shopfloor.

This results in faster, more reliable decision-making from design to deployment — raising productivity while reducing commissioning time and risk. The companies aim to scale these capabilities across key verticals and several customers are already evaluating some of the capabilities including Foxconn, HD Hyundai, KION Group and PepsiCo.

With the partnership expansion, Siemens will complete GPU acceleration across its entire simulation portfolio and expand support for NVIDIA CUDA-X libraries and AI physics models, enabling customers to run larger, more accurate simulations faster. Building on that foundation, the companies will advance toward generative simulation by using NVIDIA PhysicsNeMo and open models to provide autonomous digital twins that deliver real-time engineering design and autonomous optimization. 

Advancing electronic design automation for accelerated computing

By applying industrial AI operating logic to semiconductors and AI factories, Siemens and NVIDIA will accelerate the engines of the AI revolution. Starting with semiconductor design and building on NVIDIA’s extensive use of Siemens’ tools, Siemens will integrate NVIDIA CUDA-X libraries, PhysicsNeMo and GPU acceleration across its EDA portfolio with a focus on verification, layout and process optimization — to target 2-10x speedups in key workflows.

The partnership will also add AI-assisted capabilities such as layout guidance, debug support and circuit optimization to boost engineering productivity while meeting strict manufacturability requirements. Together, these capabilities will advance AI-native engines for design, verification, manufacturability and digital-twin approaches to shorten design cycles, improve yield and deliver more reliable outcomes.

Designing the next generation of AI factories

Siemens and NVIDIA will also jointly develop a repeatable blueprint for next-generation AI factories — accelerating the industrial AI revolution and providing the high-performance foundation for their AI-accelerated industrial portfolios.

This blueprint will balance the next-generation high-density computing demands for power, cooling and automation while ensuring technologies are well positioned for both speed and efficiency — optimizing the full lifecycle, from planning and design to deployment and operations.

The combined effort bridges NVIDIA’s AI platform roadmap, AI infrastructure expertise, partner ecosystem and the accelerated power of NVIDIA Omniverse library-based simulation with Siemens’ strengths in power infrastructure, electrification, grid integration, automation and digital twins. Together, the companies aim to accelerate deployment, increase energy efficiency and improve resilience for industrial-scale AI infrastructure worldwide.

Optimizing operations through shared innovation

Siemens and NVIDIA aim to accelerate each others’ operations and portfolio by implementing technologies on their own systems before scaling them across industries. NVIDIA will assess Siemens offerings to streamline and optimize its own operations and offerings, and Siemens will assess its own workloads and collaborate with NVIDIA to accelerate them and integrate AI into Siemens’ customer portfolio. By accelerating one another and improving their own systems, Siemens and NVIDIA are creating concrete proof points of value and scalability for customers.

For more information, visit nvidia.com.

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AVs must safely operate across an enormous range of driving conditions. Rare, complex scenarios, often called the “long tail,” remain some of the toughest challenges for autonomous systems to safely master. Traditional AV architectures separate perception and planning, which can limit scalability when new or unusual situations arise. Recent advances in end-to-end learning have made significant progress, but overcoming these long-tail edge cases requires models that can safely reason about cause and effect, especially when situations fall outside a model’s training experience.

The Alpamayo family introduces chain-of-thought, reasoning-based vision language action (VLA) models that bring humanlike thinking to AV decision-making. These systems can think through novel or rare scenarios step by step, improving driving capability and explainability — which is critical to scaling trust and safety in intelligent vehicles — and are underpinned by the NVIDIA Halos safety system.

A complete, open ecosystem for reasoning‑based autonomy

Alpamayo integrates three foundational pillars — open models, simulation frameworks and datasets — into a cohesive, open ecosystem that any automotive developer or research team can build upon.

Rather than running directly in-vehicle, Alpamayo models serve as large-scale teacher models that developers can fine-tune and distill into the backbones of their complete AV stacks.

At CES, NVIDIA is releasing:

• Alpamayo 1: The industry’s first chain-of-thought reasoning VLA model designed for the AV research community, now on Hugging Face. With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage.
• AlpaSim: A fully open‑source, end-to-end simulation framework for high‑fidelity AV development, available on GitHub. It provides realistic sensor modeling, configurable traffic dynamics and scalable closed‑loop testing environments, enabling rapid validation and policy refinement.
• Physical AI Open Datasets: NVIDIA offers the most diverse large-scale, open dataset for AV that contains 1,700+ hours of driving data collected across the widest range of geographies and conditions, covering rare and complex real-world edge cases essential for advancing reasoning architectures. These datasets are available on Hugging Face.

Together, these tools enable a self-reinforcing development loop for reasoning-based AV stacks.

Broad AV industry supports Alpamayo

Mobility leaders and industry experts, including Lucid, JLR, Uber and Berkeley DeepDrive, are showing interest in Alpamayo to develop reasoning-based AV stacks that will enable level 4 autonomy.

Beyond Alpamayo, developers can tap into NVIDIA’s rich library of tools and models, including from the NVIDIA Cosmos and NVIDIA Omniverse platforms. Developers can fine-tune model releases on proprietary fleet data, integrate them into the NVIDIA DRIVE Hyperion architecture built with NVIDIA DRIVE AGX Thor accelerated compute, and validate performance in simulation before commercial deployment.

For more information, visit nvidia.com.

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Currently, the global automotive industry is accelerating its transformation toward electrification, intelligence, and connectivity. Intelligent driving and in-vehicle entertainment have become key drivers of future mobility experiences. AI and high-performance computing technologies play increasingly critical roles in vehicle perception, decision-making, and interaction. The adoption of domain control architecture, heterogeneous computing platforms, and AI inference engines is reshaping the design logic of automotive electronic systems, enhancing overall vehicle performance and upgrading user experience.

Together with AMD, Autolink will work to create innovative technologies and system ecosystems, jointly driving innovation and advancement in key areas of intelligent connected vehicles to accelerate the implementation of technological achievements. Autolink will develop a Deep Fusion EEA (Electronic and Electrical Architecture) based on AMD Versal AI Edge Series Gen 2 adaptive SoCs. AMD Versal AI Edge Series Gen 2 devices provide highly integrated architecture, powerful computing performance, and design flexibility, enabling Autolink to achieve multi-domain deep integration in vehicles, low-latency data transmission, and safe and reliable intelligent driving functions, thereby improving overall vehicle safety and intelligence. In terms of in-vehicle entertainment Autolink will work with AMD to create high-performance entertainment systems covering next-generation gaming and AI-driven audio-visual platforms, delivering an immersive experience for users.

For more information, visit en.auto-link.com.cn.

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During his keynote,Lenovo Chairman and CEO Yuanqing Yang, joined by NVIDIA founder and CEO Jensen Huang, debuted this new gigawatt-scale AI factory program as a major advancement that enables AI cloud providers to bring next generation AI workloads and applications online faster, moving customers from creation to production at unprecedented scale.

As enterprise AI workloads increase in size and complexity, AI cloud providers must build gigawatt-scale AI factories capable of supporting trillion-parameter agentic AI, physical AI, and high-performance compute (HPC) applications. Time to first token (TTFT) has emerged as a critical benchmark for measuring how quickly AI compute investments translate into production-ready AI, reflecting how effectively these AI factories deliver the massive compute, high-performance storage, ultra-low-latency networking, and AI software to meet the token demands of next generation workloads.

The new program equips AI cloud providers to achieve TTFT in weeks by accelerating the deployment of gigawatt-scale AI factories through ready-to-use components, expert guidance, and industrialized build processes. This allows providers to deliver customized, revenue-generating AI solutions to enterprises at record speed and scale.

Through an integrated framework of solutions, services and manufacturing, next-generation AI cloud providers can move rapidly from concept to build, deployment and monetization with purpose-built Lenovo Neptune liquid-cooled hybrid AI infrastructure, NVIDIA accelerated computing platforms, Lenovo’s global manufacturing, and full lifecycle Lenovo Hybrid AI Factory Services.

With Lenovo AI Cloud Gigafactory with NVIDIA, AI cloud providers can be among the first to tap the power of NVIDIA Blackwell Ultra high-performance architecture to address the soaring demand to deploy sovereign, secure and specialized AI use cases with customized cluster designs across accelerated computing, storage and networking options. Built on decades of development collaboration, the program also ensures time to market access to the most advanced NVIDIA accelerated computing infrastructure. This includes the NVIDIA GB300 NVL72 system from Lenovo with a fully liquid-cooled, rack-scale architecture that integrates 72 NVIDIA Blackwell Ultra GPUs and 36 NVIDIA Grace CPUs into a single platform.

The program will also support the newly announced NVIDIA Vera Rubin NVL72 flagship system for AI training and inference – which unifies 72 Rubin GPUs, 36 Vera CPUs, ConnectX-9 SuperNICs, BlueField-4 DPUs, and Spectrum-X Ethernet in a rack-scale AI supercomputer to power next-generation gigawatt AI factories. This features new, advanced networking options with NVIDIA Spectrum-6 Ethernet switches and NVIDIA Photonics Ethernet switches.

Beyond optimized design, co-engineering, and deployment expertise, Lenovo Hybrid AI Factory Services deliver full-lifecycle capabilities that reduce factory stand-up time and support long-term differentiation with greater speed, efficiency and confidence. AI-native platforms and repeatable Lenovo AI Library use cases integrated with NVIDIA AI Enterprise, including the open Nemotron models, further simplify delivery of specialized horizontal and vertical AI workloads at scale.

Lenovo powers eight of the world’s top ten public cloud providers and is the only company offering fully in-house design, manufacturing, integration, and global services for custom AI cloud solutions. By unifying NVIDIA accelerated computing with Lenovo’s liquid-cooling expertise, global manufacturing and local reach, AI cloud providers can deploy AI factories faster, reliably at scale with trusted performance.

The result is a shorter path from AI investment to outcomes, helping organizations realize value faster and move AI into the core of their business operations.

Lenovo now offers a complete portfolio of full-stack hybrid AI factory solutions with NVIDIA accelerated computing, networking, and software — for both enterprises as well as AI cloud providers.

For more information, visit lenovo.com.

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High-speed optical connectivity powers Deep Fusion EEA

Deep Fusion EEA (Electronic/Electrical Architecture) is Autolink’s next-generation unified computing and communication platform designed for future intelligent vehicles. The architecture integrates centralized computing, zonal control, and a high-bandwidth optical backbone into a single system, enabling millisecond-level coordination across perception, decision-making, and vehicle control.

Within the Deep Fusion EEA framework, the in-vehicle optical communication solution is provided by ReinOCS, demonstrating advanced system-level capabilities:

1. Full-scenario adaptability
   Supports lossless 8K@60Hz ultra-high-definition video transmission, meeting the data exchange requirements of multi-display intelligent cockpits and high-resolution autonomous driving sensors such as LiDAR and cameras. Transmission distances of up to 100 meters enable connectivity across multiple vehicle zones.
2. Extreme environmental robustness
   Designed with lightweight construction and strong electromagnetic interference (EMI) immunity, the system operates reliably across automotive-grade temperature ranges from –40°C to 85°C, addressing signal attenuation challenges common in traditional copper-based transmission under complex vehicle environments.
3. Specialized optical and mechanical designs
   Both the modules and cabling are engineered to withstand high-acceleration shocks and continuous full-spectrum vibration in automotive environments, fully meeting the reliability standards for in-vehicle harnesses and interconnects. Even under demanding operating conditions—such as frequent vehicle start-stop cycles and rough road surfaces—the solution ensures stable, continuous data transmission.
4.  Architecture-level scalability
   Featuring a modular interface design, the optical communication system seamlessly supports future multi-sensor fusion requirements for higher levels of automated driving (L4 and above). This enables OEMs to achieve “hardware-upgradable, software-evolvable” architectures while significantly reducing long-term E/E system upgrade costs.

Strategic partnership to advance optical-electrical convergence

Under the agreement, Autolink and ReinOCS will collaborate across three key areas: joint development of next-generation in-vehicle optical transmission protocols to further improve bandwidth and energy efficiency; delivery of integrated solutions combining optical connectivity, intelligent cockpit systems, and automated driving platforms; and joint efforts to advance industry standards for automotive optical communication, accelerating large-scale adoption across the sector.

Industry impact

As intelligent vehicles continue to move toward centralized architectures with exponential data growth, traditional copper-based networks are increasingly constrained. The optical-electrical integrated E/E approach jointly advanced by Autolink and ReinOCS addresses this challenge at the system level, supporting the industry’s transition from distributed electronics to centralized, software-defined vehicle platforms. Multiple OEM representatives at CES noted that such architectures could significantly shorten development cycles and lower deployment costs for advanced intelligent vehicles, positioning optical connectivity as a key enabler over the next three to five years.

For more information, visit en.auto-link.com.cn.

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Responding to the urgent global demand in industrial and engineering sectors for safer, more efficient, and more sustainable energy solutions — and as the safety and performance challenges of conventional lithium batteries become increasingly evident.

Leveraging vertical integration to set a new benchmark for industrial solid-state battery applications

At the core of this strategic alliance is the integration of the three parties’ expertise and technologies. ProLogium provides its world-leading next-generation solid-state lithium ceramic cells; Kyushu Electric Power, leverages its extensive experience in energy technology and lithium-ion battery monitoring/control to design the 24V solid-state battery module; and Nakayama Iron Works will integrate the high-performance module into its advanced construction machinery. This collaborative model — supported by module manufacturer Seiko Electric and worldwide sales agent Sojitz Kyushu Corporation — forms a complete vertically integrated chain from battery cell to end product. It ensures quality, performance, and cost optimization from technology R&D through market deployment, enabling a highly efficient value chain.

First appearance at CES 2026: leading construction machinery into the zero-emission era

To showcase the initial outcomes of this collaboration, ProLogium, Kyushu Electric Power, and Nakayama Iron Works will jointly — for the first time — present at CES 2026 a 24V solid-state battery module powered by ProLogium’s next-generation solid-state cells, alongside groundbreaking zero-emission construction machinery end products. The DC 24V battery module incorporates seven ProLogium SN-10 cells, delivering a capacity of up to 111.3Ah in a compact form factor with high vibration resistance. It supports an operating voltage range of 29.4–17.5V, with an energy capacity of up to 2,671Wh. Through flexible series/parallel configurations, the module can deliver outstanding performance — including high voltage, high current, and large capacity — and, compared with existing lithium-ion solutions, is expected to extend MSD700 all-functions operating time from 2 hours to 3.7 hours, while reducing charging time to approximately 0.45 hours (~27 minutes). For NE100HBJ, operating time is expected to increase from 8 hours to 10 hours in travel duty and from 4 hours to 10 hours in crushing duty, with charging time shortened to approximately 0.24 hours (~14 minutes). By combining longer runtime with fast energy replenishment, the solution significantly improves equipment uptime and jobsite productivity, making it suitable for a wide range of industrial applications.

These innovative construction machines planned for the solid-state battery module are expected to deliver significant benefits to the industry:

• MSD700 is a compact, battery-driven construction machine designed for narrow environments where large equipment or personnel are difficult to operate so compact vehicle design is crucial. With zero emissions, it can operate safely indoors, low temperature or underground severe circumstances without concerns about exhaust gases.
• NE100HBJ, part of the DENDOMAN series, is a battery-driven crusher capable of crushing 15–50 tons per hour of rock/concrete — also achieving zero emissions.

Compared with conventional lithium batteries, ProLogium solid-state batteries enable the MSD700 and NE100HBJ to achieve longer operating time and efficient charging capabilities, significantly enhancing their market competitiveness and setting a new benchmark for smarter and more sustainable industrial development worldwide.

Expanding the solid-state battery application landscape with safe, high-efficiency sustainable energy solutions

ProLogium has long been dedicated to the R&D and manufacturing of safe, high-efficiency next-generation solid-state lithium ceramic batteries, delivering innovative energy solutions. Conventional lithium batteries may face thermal runaway and combustion risks due to liquid electrolytes and separator-related issues. Meanwhile, even some mainstream sulfide-based solid-state batteries may still carry potential combustion concerns. ProLogium remains at the forefront of safety technology. ProLogium’s latest achievement — the fourth-generation Super-fluidized All Inorganic Solid State Electrolyte with its built-in Active Safety Mechanism (ASM) — effectively suppresses the spread and chain reaction of thermal runaway, fundamentally eliminating safety hazards. In addition, ProLogium’s gigawatt-hour-scale superfactory mass production capability optimizes manufacturing costs, enabling the company to meet diverse global partner needs at a reasonable price point and deliver sustainable, stable energy to society. This collaboration with Kyushu Electric Power and Nakayama Iron Works marks the beginning of ProLogium solid-state batteries’ expansion into the construction machinery industry — another major step forward in the pursuit of safe and reliable energy solutions.

For more information, visit prologium.com.

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