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AI Moves from Optional to Essential: Canton Fair Service Robots to Showcase Real-World Problem Solving

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GUANGZHOU, China, Sept. 24, 2026 /PRNewswire/ — The 140th Canton Fair will open on October 15, bringing together a new generation of AI-powered robotics solutions. As AI becomes a standard feature across industries, competition is shifting from whether products use AI to how effectively they use it to solve real-world challenges.

AI Brings Intelligent Companionship to Home and Eldercare

In home and elderly care settings, AI transforms robots from single-function executors into intelligent companions, capable of emotional interaction and health monitoring for users of all ages.

Through AI-powered emotion recognition and conversation capabilities, the companion robot helps reduce loneliness and emotional stress while maintaining a simple, intuitive user experience.

An Eldercare Robot integrates health monitoring, medication reminders, video consultations, fall detection, emergency alerts, remote caregiving and daily companionship functions into a single platform designed specifically for older users.

AI Improves Efficiency in Food Service and Cleaning Operations

In catering and cleaning, AI drives autonomous decision-making and multi-robot coordination to lower operating costs and enhance service consistency.

For instance, embodied robot platforms designed for food-service environments can combine compliant service functions with lightweight collaborative arms, enabling robots to perform a wider range of tasks safely and efficiently.

For public-space maintenance, the smart cleaning robot combines autonomous driving and AI-powered waste recognition with fully unmanned cleaning, docking, charging and replenishment capabilities for round-the-clock operation.

AI Enhances Emergency Response in High-Risk Environments

In emergency response, AI enables robots to operate in conditions that challenge human safety and endurance.

For example, explosion-proof fire reconnaissance robots can operate in hazardous environments involving fire, smoke, toxic gases and explosive materials. Combining AI-powered reconnaissance with a high-flow firefighting cannon, it supports precise fire detection and suppression while minimizing danger to rescue personnel.

From consumer-focused emotional companionship to industrial-grade operations, AI is transforming robots from conventional automated machines into intelligent systems with greater autonomy and interactive capabilities. As technology continues to reshape human-machine collaboration, visitors to the 140th Canton Fair are invited to discover how AI is delivering tangible value by solving real-world challenges across industries and everyday life.

For pre-registration, please click:
https://buyer.cantonfair.org.cn/register/buyer/email?source_type=16

 

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SOURCE Canton Fair

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Xinhua Silk Road: Scholarship for MAZU meteorological early-warning solutions receives donations from BOC, Putian merchants

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BEIJING, Sept. 24, 2026 /PRNewswire/ — The MAZU Scholarship, an award named after the traditional Chinese sea goddess Mazu to aid global meteorological disaster prevention, recently received donations from the Bank of China (BOC) and Putian merchants at home and abroad.

BOC and merchants from Putian City in southeast China, the homeland of Mazu, as well as their overseas fellows, offered respectively one million yuan and two million yuan to fund the scholarship and a customized “MAZU” cloud platform in Nepal.

“MAZU”, China’s homegrown AI-enabled meteorological solution suite released by the China Meteorological Administration (CMA) in 2025, is the first set of solutions to echo the UN Early Warnings for All initiative.

Supporting cloud trials in more than 40 countries, “MAZU” has been applied in countries including Pakistan, Ethiopia, the Solomon Islands, Jordan, Sri Lanka, Mongolia and Djibouti.

To promote cross-border meteorological technology exchanges and improve global early-warning capacity, the CMA announced the establishment of the MAZU Scholarship during the 80th session of the Executive Council of the World Meteorological Organization this June.

Aiming to honor outstanding personnel in meteorology and related fields, the MAZU Scholarship is primarily open to meteorological visiting scholars from Belt and Road partner countries and meteorological frontline workers from developing nations.

Currently, “MAZU”-related technological training has benefited over 1,000 meteorological frontline workers in nearly 100 developing countries, and has gained recognition in global meteorological early-warning applications.

In the future, a global promotion practice base for “MAZU” will be jointly built by the CMA and Putian City in Fujian Province to share with the world vivid examples and replicable practices in meteorological early warning.

Original link: https://en.imsilkroad.com/p/352353.html

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Segway Brings Global Shared Micromobility Partners Together to Shape the Industry’s Next Chapter

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CHANGZHOU, China, Sept. 24, 2026 /PRNewswire/ — Earlier this month, Segway brought together more than 160 guests in Changzhou, including representatives from over 60 shared mobility operators, industry partners and international and domestic media. The event combined factory visits, product launches, test rides and discussions around the operational challenges facing the sector.

Segway has worked with shared micromobility operators since the industry’s early growth years. As operators have shifted their focus from fleet size towards profitability, uptime and long-term asset performance, Segway has expanded its role beyond hardware to technology, service and lifecycle support.

“We don’t just provide products. We also provide services and solutions. We want to work with our partners to solve real-world challenges and help them operate more efficiently,” said Cid Wang, CEO and Co-Founder of Segway.

A central theme of the event was TCO, Segway’s framework for assessing fleet economics through revenue generation, operating expenditure and capital investment. Rather than focusing on purchase price alone, it considers vehicle availability, maintenance, energy use and asset life — all of which affect long-term fleet returns.

“TCO is never just about building a cheaper vehicle. It’s about designing fleets that deliver stronger returns year over year,” said Alan Zhao, General Manager of Segway-Ninebot Commercial Mobility Business Division.

Segway also unveiled its third-generation shared e-scooter, the R1, alongside the new C Series shared e-bikes, including the C100 and C200.

The platforms were developed around what Segway calls OCG — Operators, Consumers and Government. For operators, the focus is on uptime, serviceability and operating efficiency; for riders, safety, comfort and ease of use; and for cities, more accurate positioning, safer riding and more responsible fleet management.

The R1 features a modular architecture, integrated IoT, improved positioning and rider-assistance technologies. The C Series applies a similar platform approach to shared e-bikes, with greater component commonality and maintenance-focused design.

Segway also presented the F100, an e-bike developed for delivery applications, as it explores broader first- and last-mile use cases together with customers and partners.

For Segway, the next stage of shared micromobility is about keeping vehicles in service longer, reducing operating resources and helping fleets integrate more effectively into urban transport systems.

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SOURCE Segway

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Research Finds Grid Resilience and Energy Affordability are the New Defining Priorities for Utilities

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IFS research shows utilities prioritising grid hardening, storage and Industrial AI to boost reliability, manage demand and control costs while advancing the energy transition.

LONDON, Sept. 24, 2026 /PRNewswire/ — New research from IFS, the leading provider of Industrial AI software, reveals a dramatic pendulum shift across global energy and utilities investment priorities, previously dominated by sustainability and decarbonization goals. Aging infrastructure, affordability pressures, and reliability challenges are forcing utility leaders to adopt a more balanced investment strategy to strengthen core operations and advance the energy transition. The research finds utilities are turning to grid hardening, new energy sources and storage, and better asset lifecycle management, all underpinned by Industrial AI to optimize performance, improve resilience, and deliver better outcomes for customers and regulators.

The new global study, conducted by Censuswide and spanning 850 C-level and senior utility executives, highlights a sector operating under immense multi-front pressures driven by unprecedented load growth from data centers and electrification and extreme weather events.

Carol Johnston, VP of Energy and Utilities at IFS, puts the findings into perspective: “The pendulum in the energy sector has swung fast. Sustainability continues to be a critical objective for utilities, but evolving operational and geopolitical realities are driving a more balanced investment agenda. Decades of under-investment, coupled with rigid regulatory rate cases and an aging grid, have created an operational environment where reliability, resilience, and affordability must be addressed simultaneously.”

Here are the key findings:

Hardening grid reliability top of mind

Hardening existing grid reliability to build grid resilience against extreme weather events and cyber threats tops operational priorities, identified as the most critical operational challenges facing utility leaders today. This has led to energy and utilities organizations re-evaluating existing infrastructure – with 26% actively re-evaluating asset portfolios to prioritize investment in existing grid infrastructure.

AI is now considered essential for the energy transition

Industrial AI is emerging as the critical layer required to unite fragmented systems, predict equipment failures before they trigger grid downtime, and automate complex operational workflows. No surprise that 57% of utility leaders believe AI is critical for reducing operational costs, while nearly half (47%) say AI is critical for optimizing asset performance and managing electrification-driven demand growth.

Asset lifecycle management is becoming the battleground for utility modernization and bridging operational silos

The research evidences that new technology adoption is hindered by foundational data challenges –49% are constrained by operational data silos that hinder real-time decision-making. Despite heavy investment, most utilities remain in the “developing” stage of asset lifecycle management, with siloed systems and limited predictive capabilities – only 33% describe their asset lifecycle management capabilities as advanced, with 51% of claiming they have asset management systems in place, but operate in silos, with limited predictive capabilities. This clearly highlights utilities’ appetite for a modernized asset management approach being central to resilience, reliability, and investment planning.

Carol Johnston, VP, Energy, Utilities and Resources, IFS, is clear: “Utilities cannot invest their way out of today’s challenges through new infrastructure alone. Addressing growing demand and affordability pressures requires a balanced strategy that gets more from existing assets while making smart investments in new capacity, grid modernization, and resiliency. Industrial AI provides the decision intelligence needed to optimize asset performance, maximize returns on capital, and maintain reliable service in an increasingly complex operating environment.”

Preparing the grid of tomorrow – new storage, sources, and security

As utilities struggle to balance capital investment between maintaining legacy infrastructure and expanding capacity, traditional grid management methods are reaching their limit. The research highlights a growing shift toward grid flexibility, including Battery Energy Storage Systems (BESS) and Distributed Energy Resource Management Systems (DERMS), to manage demand volatility and protect against prolonged outages. Looking ahead, utility leaders predict advanced geothermal (22%) and Small Modular Reactors (SMRs) (18%) will have the greatest long-term impact on securing continuous clean baseload power. while 46% say AI is critical for accelerating renewable and distributed energy integration.

The findings reinforce that digital transformation strategies in energy and utilities must prioritize measurable operational outcomes – specifically grid uptime, customer experience, and regulatory compliance – over generic software adoption. By combining unified asset lifecycle management with purpose-built Industrial AI, utilities can secure supply, protect critical infrastructure, and build a flexible foundation for future clean generation technologies.

The full Censuswide report, commissioned by IFS, will be available at the end of September. To find out more information, visit ifs.com or contact us via press@ifs.com(Opens in a new tab).

Join IFS at Unleashed 2026, October 12–16 in Orlando, Florida to learn how energy and utilities organizations are leveraging Industrial AI to meet the grid challenges of today and tomorrow. Register at unleashed.ifs.com(Opens in a new tab)

IFS Press Contacts:

EUROPE / MEA / APJ: Adam Gillbe
IFS, Director of Corporate and Executive Communications
Email: adam.gillbe@ifs.com(Opens in a new tab)

NORTH AMERICA / LATAM: Mairi Morgan
IFS, Director of Corporate and Executive Communications
Email: mairi.morgan@ifs.com(Opens in a new tab)

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