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ASPEED Showcases High-Definition AV-over-IP Transmission Solutions and Panoramic Video Conferencing Applications at InfoComm 2024

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LAS VEGAS, June 11, 2024 /PRNewswire/ — ASPEED Technology, the world’s leading supplier of Baseboard Management Controller (BMC) SoC, will participate in InfoComm in Las Vegas, exhibiting a variety of AV-over-IP (AVoIP) series products. These include the AST1530+1535 and AST1630 high-definition video transmission control system SoCs, as well as the AST1532 USB2.0 over IP SoC. The exhibition will also feature the Cupola360 series of video conferencing products, including multi-camera stitching hardware for 360-degree and 180-degree panoramic views, as well as sound bar conferencing equipment. ASPEED Technology is actively integrating the technical advantages of its Cupola360 and AVoIP product lines to create comprehensive image processing and transmission solutions.

ASPEED Technology’s AVoIP SoCs use proprietary image compression algorithms to transmit via network cables or fiber optics, ensuring near-lossless image quality even over long distances with zero latency. The AST1530+1535 HDMI 2.0 AVoIP SoC is designed for high-end professional video and audio transmission applications, offering 4K2K60 high-definition resolution. It supports 1-to-1 AV image transmission control and can utilize existing IP network infrastructure to achieve multi-input to multi-output high-definition video matrix switching and multicast functionality. Additionally, the AST1532 USB 2.0 over IP SoC within the same ecosystem provides USBoIP functionality, supporting bulk and isochronous type USB devices like webcams, as well as Keyboard and Mouse over IP (KMoIP) with hotkey control.

Furthermore, ASPEED Technology will showcase its next-generation AST1630 AV-over-IP extender/splitter SoC, specifically designed for simple professional applications. The AST1630 provides up to 4K60 YUV444 resolution, supporting HDR10/10+, Dolby Vision, and HDCP2.2/2.3, and supports both copper and fiber transmission. It also supports USB 2.0 over IP, including bulk, interrupt, and isochronous types of USB devices such as webcams, audio devices, keyboards, mice, and storage devices, and complies with AES-256 encryption standards.

Since 2023, ASPEED Technology has been in a strategic alliance with Audinate, a leading provider of digital network audio technology, incorporating the Dante® AV-A software solution with the AST1530+1535 AVoIP SoC. This solution has been adopted by several international AV audio-visual giants. Besides its collaboration with Audinate, ASPEED Technology continues to actively expand its AVoIP ecosystem, helping customers reduce integration time and costs while enhancing product value.

In addition, ASPEED Technology has achieved significant success in 360-degree image processing technology and will also showcase the Cupola360 series panoramic video conferencing solutions at InfoComm. With the post-pandemic era encouraging employees to return to offices, the demand for real-time, high-quality video conferencing equipment in meeting rooms with multiple participants and remote clients is increasing. The market increasingly demands wide-angle, easy-to-operate, and high-quality multi-person video conferencing equipment, with higher performance and convenience requirements for sound and image quality.

ASPEED Technology’s Cupola360 multi-camera stitching image processing SoC panoramic video conferencing solution features several key technologies and characteristics. The SoC uses a proprietary multi-camera stitching algorithm to achieve seamless 360-degree panoramic images, providing a distortion-free wide-angle view. The built-in high-performance image processor can simultaneously and instantly process multiple high-resolution image sensors, ensuring image clarity and smoothness, providing the clearest images for participants. To meet video conferencing needs, the Cupola360 SoC optimizes low-latency real-time transmission technology, ensuring no lag during meetings and improving communication efficiency. Additionally, the SoC offers high adaptability and compatibility, functioning either as the main SoC for video conferencing equipment or in combination with other chip platforms, facilitating ODM and brand customization.

In addition to providing critical technologies for video conferencing, the Cupola360 turnkey solution boasts several important features. It offers complete HDK/SDK reference designs, pre-integrated with third parties, saving ODM customers development resources. ASPEED Technology has long collaborated with various lens module manufacturers, introducing relevant calibration and testing environments, offering both standard and customized services. Moreover, Cupola360 has experience assisting customers in passing Microsoft Teams video conferencing software certification, covering image, sound, and system performance testing and certification, ensuring high compatibility and excellent performance.

ASPEED Technology, with years of rich experience in the high-end professional video and audio transmission application market and video conferencing market, is actively integrating the technological advantages of these two major fields, creating interconnected innovative solutions. It provides comprehensive image processing and transmission technology solutions to meet diverse market demands, bringing more value to customers and contributing to the industry’s development.

About ASPEED Technology Inc.

Founded in 2004, ASPEED Technology Inc. is a leading fabless IC design company headquartered in Hsinchu, Taiwan. As a pioneer and leader of cutting-edge SoC solutions with a focus on the niche markets, ASPEED specializes in Cloud & Enterprise Solutions, including Baseboard Management Controller (BMC) SoC, Bridge IC, and PFR SoC, and Smart AV Solutions, including AVoIP SoC, Cupola360 spherical image stitching processor and Cupola360⁺ Software Kit.

ASPEED is devoted to developing innovative technologies to quickly respond to customer needs. In 2016, ASPEED acquired Broadcom’s Emulex Pilot™ remote server management chip business and it’s currently the world’s No. 1 BMC SoC provider. To enter the market of image processing, ASPEED expanded its product portfolio by launching Cupola360 spherical image stitching processor and Cupola360⁺ software solutions in 2018.

Recognized as a trusted and reliable partner for customers, ASPEED has been awarded “Forbes Asia’s 200 Best Under a Billion” for ten consecutive years since 2014. The company was also recognized as “Taiwan Best-in-Class 100” by Taiwan Institute of Directors and CDRC Consulting Group in 2022-2023 and “Best Management Team in Asia” by Institutional Investor in 2023. For more information, please visit www.aspeedtech.com.

About Cupola360 Inc.

Cupola360 Inc., established in 2018, is a subsidiary of ASPEED Technology, a leading IC design company headquartered in Hsinchu, Taiwan. Cupola360 provides comprehensive real-time and AI-friendly 360-degree imaging turnkey solutions, creating a seamless and immersive first-person experience.

By leveraging ASPEED’s Cupola360 Spherical Image Processors, Cupola360 has introduced a range of panoramic cameras and deployment software. The collaboration extends to ecosystem partners, including AI service providers, system integrators, and distributors to introduce solutions for various applications such as smart patrol, smart cities, video conferencing, and more.  For more information, please visit https://cupola360.com/en/.

View original content:https://www.prnewswire.com/news-releases/aspeed-showcases-high-definition-av-over-ip-transmission-solutions-and-panoramic-video-conferencing-applications-at-infocomm-2024-302169482.html

SOURCE ASPEED Technology Inc.

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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