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Vicinity: Pushing the Boundaries of 5G

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TAIPEI, Dec. 16, 2024 /PRNewswire/ — Based in Bristol, UK, Vicinity Technologies Ltd is a leading provider of innovative wireless communications products, with a focus on 5G networks and infrastructure. With over 30 patents, the company has full R&D capabilities for designing, developing, verifying, and deploying complete base-stations, O-RAN architecture products, and 5G core network solutions for private networks and rural deployments.

Its flagship product, the First Industrial 5G UE, exemplifies the company’s commitment to pushing the boundaries of what is possible in 5G technology.

“We are recognized for our ability to deliver ultra-low latency, precision timing, and high synchronization performance, which are critical for industrial applications such as automation, robotics, and real-time monitoring,” says Vicinity CEO Eric during an interview with EE Times Asia.

Eric says the company builds 5G fiber networks that they can customize to customers’ specific use cases or requirements. For example, in the industrial sector, Vicinity can provide a very low latency, high throughput, and very fast response network that is critical for synchronizing mobile robots.

“Our competence is more on the development of the software side of the 5G infrastructure, so we can build, develop, and customize the features of fiber 5G networks and fully integrate them with the application requirements of customers,” says Eric.

The company has partnered with a lot of Taiwanese ODMs who manufacture basestations in different ways and modes.

“For example, in the sub-6GHz region, the millimeter wave region [mmWave], and even for the NTN region, we have worked with all these Taiwanese manufacturers to develop the basestation products,” says Eric. “And we are pretty successful because some of these vendors have already started engaging with mobile operators and are now having a lot of testing and deployment in different operator regions.”

At the EE Awards Asia 2024, Vicinity received the Most Leading-Edge Startups award. Now in its fourth year, EE Awards Asia celebrates the contributions of Asia’s engineering community over the past year.

“Thank you for the recognition,” says Eric. “It is an honor to receive the Most Leading-Edge Startups Award from EE Times Taiwan. Our award-winning product, the First Industrial 5G UE, was developed with the goal of addressing several key challenges in the industrial communication landscape. As industries shift towards automation, digital transformation, and smart manufacturing, reliable, high-performance wireless communication is becoming a critical enabler. Traditional networks simply cannot meet the stringent demands of modern industrial applications, and this is where our solution comes in.”

Eric says the award represents a significant milestone in the company’s journey and is a testament to the innovation and dedication of their entire team. “This recognition not only validates the hard work we’ve put into developing the First Industrial 5G UE, but it also underscores the relevance and impact of our solutions in the rapidly evolving 5G ecosystem. The award highlights the importance of industrial 5G technology, particularly in sectors where real-time communication, ultra-low latency, and reliability are critical for driving efficiency and innovation. Being recognized at this level affirms that our vision of enabling next-generation industrial applications—such as factory automation, robotics, and advanced manufacturing—is resonating with both industry experts and customers alike.”

Addressing Key Industry Challenges

According to Eric, one of the key challenges that Vicinity is trying to address is the need for ultra-low latency and high synchronization in industrial environments.

“Applications like robotics, machine-to-machine communication, and real-time control systems require almost instantaneous data transmission with minimal jitter. Our 5G UE is designed to deliver latency as low as 1ms and clock synchronization accuracy under 2µs, ensuring precise and reliable performance in time-sensitive operations. This level of precision is crucial for industries that rely on real-time monitoring and control, where even the slightest delay could lead to inefficiencies or safety risks.”

Another key challenge is the inflexibility of traditional, fixed hardware solutions. Based on software-defined radio (SDR) architecture, Vicinity’s wireless products allow for greater flexibility and customization.

“This means our solution can easily adapt to the unique requirements of different industries, whether it’s manufacturing, logistics, healthcare, or energy. As a result, customers can deploy our UE across a wide range of use cases without being locked into a rigid, one-size-fits-all approach,” explains Eric. “Furthermore, our solution directly tackles the issue of seamless integration with Industrial IoT [IIoT] devices. Many companies struggle with integrating legacy systems with newer, more advanced technologies. Our UE is designed to work seamlessly with existing IIoT infrastructures, making the transition to a 5G-enabled system as smooth and efficient as possible. This is especially important as industries look to leverage data-driven decision-making and automation.

Looking Ahead

The future of 5G in Asia is incredibly promising, with vast potential across multiple sectors, from manufacturing and logistics to healthcare and smart cities. As the region continues to be a global leader in technology adoption, we see 5G as a driving force behind the next wave of industrial transformation.

“In particular, 5G will play a critical role in enabling real-time communication, automation, and the seamless integration of advanced technologies like AI and IoT across industries,” says Eric. “However, despite the excitement around 5G, there are still significant challenges that need to be addressed. One of the main hurdles is the high cost of infrastructure deployment, especially in rural and remote areas. The complexity of integrating 5G with existing networks also poses a challenge for many operators and industries. Additionally, ensuring secure and reliable connectivity in mission-critical applications remains a key concern as more businesses and governments rely on 5G for their operations.”

Nevertheless, the opportunities are abundant, especially as industries digitize and automation becomes more widespread—driving the demand for low-latency, high-reliability communications.

“In Asia, sectors such as manufacturing, energy, and healthcare stand to benefit immensely from 5G’s capabilities. Moreover, the rise of smart cities across the region presents a huge opportunity for 5G to enhance urban life through applications like intelligent transportation, real-time surveillance, and connected infrastructure,” says Eric. “At Vicinity, we are focused on addressing these challenges and unlocking the potential of 5G in Asia by developing solutions that meet the unique needs of industrial customers. We believe that as the ecosystem matures, the benefits of 5G will become more accessible, and we will see widespread adoption that transforms industries and economies across the region.”

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SOURCE EE Times Asia

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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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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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