Daily CSR

WAIC 2026 SAIL Award Opens Global AI Applications Worldwide

2026-04-02T15:29:00+02:00

The World Artificial Intelligence Conference (WAIC) has announced the opening of global applications for the 2026 SAIL Award (Super AI Leader), its most prestigious honor. Transphere Consulting has been designated as the official international recruitment partner, responsible for managing overseas nominations and supporting AI teams worldwide throughout the application process.

As artificial intelligence moves beyond experimental phases into large-scale industrial use, the SAIL Award highlights initiatives that combine advanced technological capability with proven real-world scalability across industries such as manufacturing, energy, healthcare, and urban infrastructure.

For 2026, the award offers a total prize pool exceeding USD $280,000. In addition to monetary recognition, winners benefit from:

Prominent exposure at WAIC 2025
Opportunities to connect with global investors and industry decision-makers
Strategic entry points into China’s rapidly growing AI ecosystem

Since its launch in 2018, the SAIL Award has received more than 4,500 submissions from over 20 countries and regions. Previous recipients include Siemens, MindRank, Insilico Medicine, and Ant Group.

WAIC 2025 attracted over 1,500 participants from more than 70 countries and regions, featuring 12 Turing Award and Nobel Prize laureates, over 80 academicians, and upwards of 200 industry leaders—underscoring its position as a leading global forum for AI innovation and governance.

Evaluation Criteria
Submissions are evaluated based on four key pillars:

Superior: Demonstrated, measurable technological breakthroughs
Applicative: Proven implementation with tangible operational outcomes
Innovative: Novel approaches that go beyond incremental improvements
Leading: Solutions addressing critical industry challenges with lasting impact

Unlike many awards that prioritize theoretical performance or model benchmarks, the SAIL Award focuses on practical deployment and ecosystem integration, setting a standard for AI solutions operating in complex, real-world environments.

Application Process
Applications are now open to AI startups, research organizations, and enterprises globally. To maintain high standards, Transphere Consulting will conduct an initial screening process. Shortlisted applicants will receive an exclusive invitation code to access the official SAIL submission portal.

Pre-screening Form: https://forms.cloud.microsoft/r/MwyMSqCCpt
Inquiries: shanghai@transphereconsulting.com

AWE2026 Showcases the Future of AI-Powered Smart Living

2026-03-19T06:44:00+01:00

The Appliance & Electronics World Expo 2026 (AWE2026) wrapped up on March 15 after four energetic days, uniting more than 1,200 companies and innovators from around the globe to present the latest in AI-driven smart living. Early data from the organizers indicates that attendance rose by over 30% compared to last year, cementing its status as the world’s largest consumer technology exhibition.

Held at the Shanghai New International Expo Centre, the main venue covered more than 140,000 square meters and attracted hundreds of thousands of visitors eager to explore interactive experiences. A second venue at the Shanghai Eastern Hub International Business Cooperation Zone offered a more convenient entry process for international guests, including pre-registration and visa-free access, allowing them to participate immediately upon arrival.

Under the theme “Smart AI, Smarter Future,” the event highlighted how artificial intelligence is reshaping modern lifestyles. Major exhibitors such as Haier and Dreame dominated with expansive displays exceeding 10,000 square meters each. Haier introduced its enhanced AI Eye 2.0 and debuted the Seeker series of L4 intelligent appliances, including three types of household service robots designed for cleaning, companionship, and assistance. Dreame showcased a broad ecosystem spanning smart home devices, mobile technology, transportation, aerospace, energy systems, and computing, featuring innovations like a clothes-folding robot, its in-house “Chixiao 01” processor, and the Nebula NEXT 01X.

In the smart home category, leading brands including Haier, Huawei, Hisense, Siemens, and Panasonic demonstrated tightly integrated AI solutions, reflecting a shift from reactive appliances to proactive, service-oriented systems.

Home service robotics emerged as a key focus area, with companies such as Haier, Hisense, TCL, Fotile, Roborock, MOVA, Ecovacs, and Dreame unveiling a wide range of innovations—from companion robots and automated kitchens to mobile and even airborne cleaning devices—pushing the boundaries of hands-free living.

Embodied AI also drew significant attention. Firms like Unitree, Agibot, MagicLab, Tesla, DEEP Robotics, ULS Robotics, Tars, Zeroth, and Genisom AI presented robots capable of performing intricate tasks such as boxing, embroidery, and even opening bottles, highlighting rapid progress in sensing and motion technologies.

In the smart devices segment, brands including Huawei, Dreame, BOE, Aridge, BYD, Tesla, Vertaxi, NAVEE, Segway-Ninebot, and Sky Motor revealed next-generation solutions such as electric vehicles, water-based aircraft, flying cars, and intelligent two-wheelers. At the same time, companies like Qwen, XREAL, Lenovo, ZTE, Insta360, TCL RayNeo, Robam, Shokz, Rokid, and Orka Tech introduced cutting-edge AI-powered gadgets ranging from smart glasses and smartphones to PCs, earbuds, and action cameras.

Beyond consumer products, the expo also highlighted advancements in semiconductors and computing from Intel, Lisuan Tech, MiniMax, Dreame, Ugreen, and Moore Threads. Display technology breakthroughs were presented by Sony, Hisense, TCL, LG, Changhong, and Skyworth, while innovations in brain-computer interfaces from BrainCo, Stonehill, and others demonstrated progress in human-machine integration.

Dubbed the “year of robotics,” 2026 began with the impressive showcase at AWE2026, underscoring how close the future has become. With nearly 10,000 intelligent products transitioning from exhibition halls into everyday use and human-machine interaction becoming increasingly seamless, the event signals not just innovation, but the beginning of a transformative era defined by closer collaboration between humans and technology.

CISCE 2026 Nears as Global Supply Chain Expo Introduces AI Zone

2026-03-15T06:26:00+01:00

The fourth China International Supply Chain Expo (CISCE) has officially begun its 100-day countdown. With the theme “Connecting the World for a Shared Future,” the event has grown over its first three editions into a major platform that promotes global collaboration across industrial and supply chains. Its concept and influence now extend beyond China, contributing to broader international standards. Notably, the ISO 25639-1: Exhibitions and Events—Vocabulary international guideline—developed by the global business community—now incorporates elements inspired by the expo’s innovative model, including language that highlights the importance of linking businesses with partners across supply chains.

This year’s edition will reach an important milestone with the debut of its first Artificial Intelligence zone, presenting a full overview of the AI ecosystem—from data and computing capacity to real-world applications. The exhibition will cover six key supply-chain sectors: Advanced Manufacturing, Clean Energy, Smart Vehicles, Digital Technology, Healthy Living, and Green Agriculture, alongside a dedicated Supply Chain Services Exhibition Area. Attendees will see participation from both Chinese and international companies, including newcomers in emerging industries such as AI-driven robotics, drones and low-altitude aviation, and biomanufacturing, as well as established firms showcasing the latest innovations in industrial and supply-chain modernization.

Another new feature of the fourth CISCE is a stronger emphasis on targeted collaboration. Expanding on the previous “Guest Country of Honor” concept, organizers will introduce “Guest Provinces” for the first time. This initiative invites overseas provinces, states, and regions with distinctive industrial strengths to join the expo, creating more focused opportunities for business partnerships with Chinese provinces, cities, and companies.

Interest from the global business community remains strong. During the third CISCE, international exhibitors made up about 35% of all participants, while more than 40 executives from Fortune Global 500 companies and 172 overseas delegations traveled to China specifically for the event. This participation underscores the growing global interest in supply-chain cooperation and opportunities within the Chinese market. Preparations for the upcoming expo are progressing steadily.

Organizers have already hosted 19 international roadshows worldwide to promote the event and are aiming to further increase both the share of overseas exhibitors and the number of visiting delegations. So far, over 500 companies from China and abroad have confirmed their participation, with exhibitor recruitment now nearing completion.

HONOR Unveils Open AI Ecosystem Strategy at Mobile World Congress 2026

2026-03-09T13:33:00+01:00

On March 2, global AI device ecosystem company HONOR presented its vision for an expanded AI ecosystem during the opening ConnectAI panel at Mobile World Congress 2026. The company introduced plans to build an open device network through its HONOR AI Connect Platform, which it expects will support more than 20,000 AI-powered services by the end of 2026.

This initiative signals HONOR’s rapid evolution from a traditional smartphone maker into a global AI-driven device ecosystem leader. Central to this shift is the upgraded HONOR AI Connect Platform, designed to share the company’s core AI capabilities with ecosystem partners. Rather than focusing solely on device connectivity, the strategy emphasizes shared intelligence across brands, with the goal of creating a cross-device Personal Avatar that accompanies users throughout a connected environment.

At the panel, Fang Fei, President of Products at HONOR, joined Philippe Lucas, Executive Vice President of Partnerships, Content and Devices at Orange, to discuss how AI, hardware and connectivity are converging. Under the theme of “breaking walls,” HONOR highlighted its intention to collaborate with partners such as Orange to expand into emerging hardware categories including education, smart home solutions, audio products, pet technology and toys.

Fang Fei compared the current moment in AI development to the historic Cambrian Explosion, suggesting the industry is nearing a comparable surge in intelligent device innovation. Just as that ancient era produced a rapid diversification of life, she predicted an explosion of AI-powered products—from embodied AI devices like the HONOR Robot Phone to specialized AI companions developed in partnership with other brands.

Fang Fei emphasized that the era of closed ecosystems should come to an end, reaffirming HONOR’s commitment to a human-centered approach. The company aims to harness AI to enhance creativity and connectivity, developing AI companions that empower users in their daily lives.

Behind this transformation lies the evolution of distributed technologies. Where human-computer interaction was once limited to a single display, distributed systems now extend intelligence beyond hardware boundaries. This change is reflected in two major trends: the decoupling of smart hardware into purpose-built devices tailored for specific scenarios, and the widespread emergence of AI interaction points designed for real-world use cases.

To ensure a seamless user experience across this diversified landscape, HONOR is advancing its open ecosystem strategy through the HONOR AI Connect Platform. In this framework, the primary interface becomes an AI Agent—a personal digital twin operating across multiple devices. Enabled by the open platform, this digital twin can understand user intent on a smartphone and extend that intelligence to connected cars, smart homes or service robots, delivering uninterrupted, context-aware functionality.

These next-generation products move beyond conventional device formats, embodying HONOR’s concept of Augmented Human Intelligence (AHI). Devices transition from passive tools into active collaborators. A standout example is the HONOR Robot Phone, which blends smartphone technology with robotics to function as an automated personal videographer, tracking and capturing moments while allowing users to remain fully engaged.

At its March 1 launch event, HONOR also introduced its newest AI-native foldable smartphone, the ultra-slim HONOR Magic V6, along with updated PCs, tablets and other devices. Visitors and media attending MWC are invited to explore these innovations at the HONOR booth in Hall 3 and experience the next wave of intelligent technology firsthand.

Building a Sustainable AI Ecosystem with Smarter Materials

2025-11-20T11:32:00+01:00

Artificial intelligence (AI) and machine learning (ML) are rapidly reshaping industries and daily life, yet this progress comes with a rising environmental cost. Large-scale data centers require immense amounts of electricity and water, and the production of advanced hardware demands significant natural resources.

To counter these impacts, materials scientists are developing new solutions that enhance durability, improve energy efficiency and increase the resilience of the infrastructure that supports AI. Dow, for instance, uses advanced materials science to create technologies that improve thermal management in data centers. These solutions allow cooling systems to run more efficiently than conventional air-cooled systems, reducing energy use and helping cut greenhouse gas (GHG) emissions.

These advancements demonstrate how focused innovation can mitigate AI’s environmental footprint and encourage a more responsible, sustainable digital landscape.

What Is the AI Ecosystem?
The AI ecosystem refers to the expanding, interconnected system of technologies, data centers, hardware, organizations, and operational processes that enable the development, deployment and use of artificial intelligence.

Key Points

AI and ML are revolutionizing countless sectors, but their growth is contributing to a rising environmental footprint.
Cooling systems account for as much as 40% of a data center’s total energy usage, making thermal efficiency vital for reducing emissions and operational costs.
Companies are implementing sustainable AI practices, including energy-efficient system design, the use of renewable power, and hardware developed with recycled materials.
Advanced nuclear technologies—clean, stable, and nearly net-zero in emissions—are being considered to meet the increasing energy needs of AI operations.
Dow provides essential materials for sustainable AI growth, such as thermal management systems for electronics, cooling solutions for data centers, and silicone-based components that support robust telecom infrastructure.

Environmental Impacts of AI
AI’s environmental effects span the entire lifecycle of its systems—from production to operation to disposal. Data centers, which supply the computing power for AI, consume enormous amounts of electricity. By 2026, these facilities may use around 1,050 terawatt-hours of power—enough to rank them as the world’s fifth-largest energy consumer if they were a country. When this energy comes from fossil fuels, it significantly increases GHG emissions.

Water consumption is another major concern. Cooling technologies used in data centers and power plants require vast amounts of water, with global usage projected to reach up to 6.6 billion cubic meters annually by 2027. The rapid development cycle of AI hardware also accelerates the generation of electronic waste; by 2030, as much as 5 million tons of e-waste could result from upgrading devices and components to support more advanced AI models.
Addressing these impacts is crucial to ensuring AI’s growth aligns with global sustainability goals.

Key Areas of Environmental Impact
Energy Use
Training and operating modern AI systems demands extensive electricity. Cooling alone can represent up to 40% of a data center’s consumption in dense computing environments. Solutions include developing more efficient algorithms, improving hardware, and relying on renewable or lower-carbon energy sources.

Water Use
Water is heavily used in cooling processes and in power generation that supports AI infrastructure. As AI adoption accelerates, reducing water usage and finding water-efficient cooling technologies will be increasingly important.

Land Use
Expanding data center infrastructure often requires large areas of land, potentially disrupting ecosystems and increasing resource extraction in previously undeveloped zones.

Climate Impact
AI can support climate resilience by helping optimize resource use and forecast environmental conditions. However, without sustainable development strategies, the energy demands of AI systems may contribute to global emissions.

Advancing Sustainable AI
As the demand for AI grows, so does the need to make its development more environmentally responsible. High-performance computing strains power grids and increases emissions unless efficient cooling, responsible sourcing, and circular design principles are used.

Manufacturing components like processors and semiconductors often involves intensive mining and large volumes of water and energy. Taking a full lifecycle approach—from material sourcing to end-of-life disposal—is essential to minimizing environmental harm.

According to Brendy Lange, President of Performance Materials & Coatings, customers increasingly recognize that long-term sustainability requires innovation at the materials level, motivating deeper collaboration to design solutions that can withstand the demands of advanced technologies, including AI.

Material Innovations Driving a Sustainable AI Future
Advanced materials are essential to supporting next-generation AI systems and communication networks.

Consumer Devices
AI-enabled devices—from smartphones to wearables—depend on materials designed to manage heat, enhance durability and reduce waste. Dow’s innovations help improve thermal performance and extend device lifespan. Reusable or recyclable materials, such as DOWSIL™ TC-3015 Re-workable Thermal Gel, support circularity in consumer electronics.

Cloud and Data Centers
Overheating reduces data center efficiency and accelerates equipment failure. Dow provides heat transfer fluids, thermal interface materials and silicone encapsulants that help manage heat effectively. These solutions support liquid cooling, immersion cooling and long-lasting thermal performance, enabling operators to reduce energy consumption and extend hardware life.

Telecom Infrastructure
Telecom systems must withstand extreme environmental conditions. Silicone-based adhesives, sealants, and protective coatings protect components from moisture, dust, and thermal stress. Dow also offers cable innovations—such as AXELERON™ and ENDURANCE™ compounds—that improve power delivery and data transmission while supporting circularity through materials like REVOLOOP™ recycled resins.

Additional Sustainable AI Strategies
Organizations committed to sustainability are implementing:

Energy-efficient algorithmic design and hardware architecture
Data centers powered by wind, solar, or other renewable sources
Hardware containing recycled or responsibly sourced materials
Lifecycle assessments and transparent supply chain monitoring

These practices create a foundation for an ethical and resilient AI-driven future.

Meeting AI’s Energy Demand With Advanced Nuclear Power
Major technology companies are beginning to invest in small modular nuclear reactors to supply clean, reliable energy for large data operations. These reactors offer near-zero emissions and fill energy gaps where renewables may not be sufficient. Dow is similarly exploring advanced nuclear technology with X-energy to reduce emissions at its Seadrift Operations site on the U.S. Gulf Coast.

Building a Sustainable AI Future
Sustainable development must be embedded throughout the AI ecosystem. By adopting clean energy sources, using efficient materials and designing systems with circular principles in mind, organizations can reduce AI’s environmental footprint while maintaining high performance.

As AI becomes integral to everything from personal electronics to communications networks and cloud computing, sustainable design will be essential to balancing technological advancement with planetary well-being.

These collective efforts highlight the critical role sustainability plays in shaping AI’s future—creating solutions that support both the environment and the accelerating digital world.