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Anritsu Corporation will participate in the upcoming India Mobile Congress (IMC) 2025, taking place in New Delhi, India, from October 8 to October 11, to showcase its latest innovations in communications test and measurement solutions.

As the mobile and connectivity industry continues to expand with the rapid adoption of 5G, IoT, and emerging technologies such as AI-driven services, cloud computing, and immersive XR applications, the demand for robust, reliable, and efficient test solutions has never been greater. At IMC 2025, Anritsu will highlight its comprehensive portfolio designed to meet these evolving needs, supporting operators, device manufacturers, and ecosystem partners in accelerating their technology development and deployments.

Virtual Signalling Tester

5G Network Simulator, a software-based solution for 5G IoT chipset and device testing. It enables virtual 5G network simulation on a PC, supporting RedCap tests and efficient device verification.

Radio Communication Test Station MT8000A

All-in-One Support for RF Measurements, Protocol Tests and Applications Tests in FR1 (to 7.125 GHz) and FR2 (Millimeter-Wave) Bands. MT8000A is used by Mobile Chipset, Mobile Handset, IoT Device, 5G base Station R&D and manufacturing companies.

Field Master Pro MS2090A

Handheld Spectrum Analyzer delivers the highest continuous frequency coverage up to 54 GHz and real-time spectrum analysis bandwidth up to 150 MHz to address current and emerging applications such as 5G &LTE Base Station Measurement, Satellite System Monitoring, Interference Hunting, EMF measurement and much more.

Anritsu Collaborates with Altair to Demonstrate Integration of Anritsu Monitoring Systems with Spectrum Management Software WRAP.

Altair WRAP integrates georeferenced data from Anritsu spectrum analyzers to validate coverage, interference, and spectrum compliance with field reality.

VectorStar Broadband VNA ME7838

The VectorStar ME7838 Series broadband VNA offers the widest available 2-port single frequency sweep from 70 kHz to 110, 125, 145, and 220 GHz with mmWave bands up to 1.1 THz. Vector Star is a cost-effective solution for OnWafer Measurements, RIS, Novel Channel Sounding applications along with active and passive devices measurement supporting 5G and 6G technology.

Optical Spectrum Analyzer MS9740B

MS9740B offers Single mode and Multimode Fiber application and high-speed optical devices such as optical transceivers, VCSEL, and DFB light sources testing R&D and production.

The post Anritsu Showcases 6G and NTN Test Solutions at IMC 2025 appeared first on ELE Times.

Infineon Technologies AG of Munich, Germany has expanded its CoolSiC MOSFETs 400V G2 portfolio with the top-side-cooled (TSC) TOLT package as well as the TO-247-3 and TO-247-4 packages. In addition, three new products in the TOLL package have been introduced, with rated voltages of 440V (continuous) and 455V (transient)...

Infineon Technologies AG of Munich, Germany has expanded its CoolSiC MOSFETs 400V G2 portfolio with the top-side-cooled (TSC) TOLT package as well as the TO-247-3 and TO-247-4 packages. In addition, three new products in the TOLL package have been introduced, with rated voltages of 440V (continuous) and 455V (transient)...

The industrial scenery is getting reshaped by digital twins and physical AI. These virtual replicas of factories, facilities, or even processes were once mainly conceived for planning purposes and now have become more operationally oriented, mainly concerned with training autonomous robots, AI-powered machinery, and operational systems to perform their tasks safely and efficiently in the real world. High-tech OpenUSD, immersive simulation tools, and AI-driven modeling are helping developers create high-fidelity digital twins at scale, removing most of their manual labor and fast-tracking industrial AI deployment.

Scaling Industrial AI and Physical AI with Digital Twins

Digital twins provide a virtual environment within which physical AI agents such as autonomous robots or smart factory systems can learn and adapt before deployment. Simulations of a finer quality came at the cost of much manual effort. Today, with advanced OpenUSD, neural reconstruction, and world foundation models (WFMs), developers can now set about constructing these complex digital replicas far more rapidly.

Key developments include:

SDKs bridging between simulators: They allow people to simulate robots and systems in diverse simulators, thus virtually providing access for robotics developers anywhere in the world.

• Neural rendering and 3D reconstruction libraries: These allow the capture and reconstruction of sensor data from the real world, simulation, and photorealistic rendering.
• Open-source robotics frameworks: Offer readymade environments and schemas for robots and sensors to help reduce the simulator-to-reality gap.
• World foundation models (WFMs): Used to create synthetic datasets and to carry out higher-order reasoning on these datasets for the benefit of physical AI applications.
• Advanced rendering and AI-assisted material modeling: Provide scalable ways to create industrial-grade digital twins.

OpenUSD: Powering the Future of Industrial 3D Innovation

OpenUSD constitutes the backbone of industrial 3D workflows, having become a standard for digital twin creation with interoperability between industrial and 3D data. By now, the Alliance for OpenUSD (AOUSD) has been extended to include Accenture, Esri, HCLTech, PTC, Renault, and Tech Soft 3D, thus showing great endorsement of OpenUSD and present objectives of uniting industrial 3D workflow.

To support this growing ecosystem, NVIDIA has introduced an industry-recognized OpenUSD development certification and a digital-twins learning path, helping developers gain the skills needed to build the factories and industrial systems of tomorrow.

Industry Applications Driving the Future:

Some of the global leaders use digital twins and OpenUSD for transforming industrial operations:

• Siemens: Teamcenter Digital Reality Viewer allows working with large-scale digital twins for visualization and collaboration, thereby reducing physical prototyping and faster time-to-market.
• Sight Machine: Operator Agent platform amalgamates live production data with AI-driven recommendations and digital twins for better plant visibility and faster decision-making.
• Rockwell Automation: Emulate3D Factory Test creates physics-based digital twins from simulation to optimize automation and autonomous systems.
• EDAG: Uses digital twin for project management, production layout optimization, worker training, and data-driven quality assurance.
• Amazon Devices & Services: Uses digital twin environments to train robot arms for assembly, testing, packaging, and auditing, all with no physical intervention.
• Vention: Offers plug-and-play digital twin and automation solutions so intelligent manufacturing systems can be deployed more speedily.

Conclusion:

The combination of OpenUSD, digital twins, and AI-driven simulation is transforming industrial operations on the ground. By proving the exact, scalable virtual environment, they allow manufacturers, robot developers, and physical AI engineers to innovate faster, cut down expenses, and systematize safer and smarter solutions faster than ever before.

(This article has been adapted and modified from content on NVIDIA.)

The post OpenUSD and Digital Twins: Transforming Industrial AI Workflows appeared first on ELE Times.

Wolfspeed Inc of Durham, NC, USA — which makes silicon carbide (SiC) materials and power semiconductor devices — has completed its financial restructuring process and emergence from Chapter 11 protection...

Epirus Inc of Torrance, CA, USA says that, in an invitation-only demonstration on 26 August at Camp Atterbury, Indiana (attended by representatives from throughout the US Department of Defense, other US Government agencies and nine allied countries), its Leonidas solid-state high-power microwave (HPM) system — which uses gallium nitride (GaN) transistors to minimize size, weight and deployment time — delivered weaponized electromagnetic interference to counter swarms of robotic, asymmetric threats...