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Vizrt, a media technology company, has introduced a new AI-powered tool to simplify the creation of virtual scenes in live production. Its latest release, the AI Keyer, is built around a simple idea: remove the need for green screens and make virtual production possible in almost any environment.

Traditionally, creating virtual backgrounds or augmented reality (AR) scenes requires controlled studio setups, green screens, precise lighting and skilled operators. That makes high-end visual production expensive and difficult to scale, especially for smaller teams or live, on-the-ground reporting.

The AI Keyer is designed to address that gap. It uses AI trained on real-world footage to identify people in a frame and separate them from the background in real time. This allows production teams to replace backgrounds, insert AR graphics or place presenters into virtual environments—whether they are indoors, outdoors or on location.

"Creating XR environments typically demands large infrastructure investments and requires specialized skills for daily operations. The Vizrt AI Keyer removes all these constraints, so high-quality virtual scenes and AR graphics become a reality for live productions of every size", says Edouard Griveaud, Senior Product Manager at Vizrt.

In practical terms, this means a presenter can appear in a different location without moving, a remote speaker can be placed inside a virtual event space or branded graphics can be added to live interviews without a complex setup. The system works without chroma keying, reducing both preparation time and production overhead.

This shift also reflects how the company is approaching AI more broadly. Instead of treating it as a background feature, Vizrt is positioning AI as a core part of the content creation and delivery process.

"AI is transforming the world, and the creative industries are no exception. At Vizrt, we have been on this journey for years, embedding intelligence into our solutions, empowering storytellers and delivering real, measurable impact for our customers", says Rohit Nagarajan, CEO of Vizrt. "That is not a vision for tomorrow. That is happening today. The Vizrt AI Keyer is the latest proof point of our relentless commitment to innovation. Putting breakthrough technology in the hands of every creative, at every level, everywhere in the world".

Beyond the product itself, the direction is clear. By removing the need for green screens and complex setups, tools like the AI Keyer make it easier to produce high-quality visual content in more flexible settings. The result is a production model that is less tied to physical studios and more adaptable to real-world environments, where content can be created and adjusted in real time.

DeepCyte, a startup in the drug development space, is focusing on a long-standing problem: why drugs that appear safe in early testing still fail in clinical trials or are withdrawn later due to toxicity. DeepCyte has launched with US$1.5 million in seed funding to build tools that detect and explain the harmful effects of drugs at much earlier stages.

The startup’s approach focuses on how individual cells respond to a drug. Instead of analysing cells in bulk, it studies them one by one. This helps capture differences in how cells react, which are often missed in traditional testing methods.

Drug toxicity remains one of the main reasons for failure in drug development. Methods such as animal testing and bulk cell analysis do not always reflect how human cells behave. This gap has pushed the industry to look for more reliable and human-relevant ways to test drug safety.

DeepCyte combines cell-level data with artificial intelligence. Its platform, MetaCore, studies what is happening inside individual cells by capturing detailed molecular information. This data is used to build large datasets that can train AI models.

Additionally, the company has developed an AI system called DeeImmuno. It is designed to predict whether a drug could be toxic and identify the biological reasons behind it. In internal testing on 100 drugs, the system identified different types of toxicity and their underlying mechanisms with a reported accuracy of 94 percent.

The focus on explaining why a drug is toxic, not just whether it is, reflects a broader shift in the industry. Regulators such as the U.S. Food and Drug Administration and the European Medicines Agency have been encouraging methods that rely more on human cell data and clearer biological evidence. The seed funding will be used to develop and scale these tools. The company aims to help drug developers make earlier decisions, which could reduce costly failures in later stages. Whether tools like this become widely used will depend on how they perform in real-world settings. For now, DeepCyte’s approach highlights a growing effort to make drug testing more precise by focusing on how drugs affect cells at the most detailed level.

Smartphones today feel more familiar than new. Each year brings better performance and better cameras, but fewer real surprises. So when a company unveils something called a “Robot Phone”, it’s bound to get attention.  

HONOR did exactly that at the Mobile World Congress (MWC) in Barcelona this year. While most smartphone brands are focused on software upgrades, HONOR is trying something different with hardware. Its Robot Phone is built to move and adjust on its own. The camera sits on a motorized system that can tilt, track motion and shift angles automatically. It almost looks like a small robotic head, following whatever is happening in front of it. It can pick up sound, recognize motion and stay visually aware of its surroundings. This result feels less like using a regular phone and more like interacting with something responsive.  

So what makes HONOR’s Robot Phone different from the smartphones we already use? Here’s a closer look at its camera system, AI features and design, and whether it is truly something new or simply smart marketing.

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What does the HONOR Robot Phone do?

At its core, the Robot Phone still works like a regular smartphone. What makes it different is the camera system. It has a 200MP camera that sits on a motorized arm with a three-axis gimbal, which extends when in use and folds back into the phone when not needed. The compact motor gives the camera physical movement, while motion control allows it to sense, track and follow a person or object in real time. That means it can keep a subject in frame without constant manual adjustment.  

The camera also adds a more playful side to the experience. It can respond with simple gestures, such as nodding or shaking its head, and it can even move in sync with music.

This setup could be particularly useful for content creators. As CNET tech journalist and YouTuber Andrew Lanxon pointed out, it removes the need to carry a separate gimbal. Since the robotic camera module can easily fold into the body of the phone, it is easier to carry around and more convenient for filming or taking photos on the go.  

The Robot Phone also has the practical advantage of a smartphone display. It gives users a bigger screen than a standalone camera for framing, monitoring and reviewing footage. Since it runs on Android, the process of recording, editing and sharing content is also more direct.  

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The Robot Phone’s Design: How the moving camera fits inside

The most impressive part of the HONOR Robot Phone design is how it fits a moving camera system into the body of a smartphone without needing external attachments.  

To make this possible, HONOR uses a custom micro motor that is 70% smaller than mainstream competitors. The company also says it is the industry’s smallest four-degrees-of-freedom (4DoF) gimbal system. To support the stable movement of the camera module, the internal structure uses high-strength materials such as steel and titanium alloy. These materials help the mechanism stay durable as it shifts and repositions over time.

Battery life is another obvious question. HONOR has not revealed the battery capacity of the Robot Phone itself, but it did showcase its Silicon-Carbon Blade Battery technology at MWC 2026. The company says this battery is designed to increase energy density while keeping devices slim, and that it could support capacities of 7,000 mAh and beyond in future foldable devices.  

That is not specific to the Robot Phone, but it does hint at the kind of battery improvements that may be needed for smartphones with moving parts and more advanced camera systems.

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The AI features of the Robot Phone

The AI features in Honor’s Robot Phone are focused on how the device sees and responds to its surroundings in real time. At the most basic level, the phone can track what is happening in a scene and adjust itself without constant user input.

On the functional side, the system keeps subjects framed and in focus automatically. Its AI Object Tracking ensures subjects stay centred, while AI SpinShot enables controlled 90° and 180° rotations for smoother transitions, even when the phone is used one-handed. It can also detect motion and recognize sound, which lets it respond to activity as it happens instead of reacting frame by frame.

The AI becomes more noticeable in the way the device behaves. When activated, the camera module unfolds and the screen displays a pair of animated eyes that track the user’s face and gaze. Honor calls this “embodied AI”, meaning the assistant expresses itself through movement rather than only voice or text. The camera module can adjust its angle during video calls, which makes it feel a little more physically present.

According to Thomas Bai, AI product expert at Honor, the goal is to move beyond passive assistance. By combining sensing, movement and real-time processing, the device is designed to interact with its environment in a more continuous way. In practice, that could mean interpreting its surroundings and responding as situations change, such as when someone is moving through an unfamiliar space.

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The gaps beneath the hype

The Robot Phone has sparked curiosity, but there is still a lot we do not know. For one thing, it is still a prototype, with a release expected later this year. Early signs also suggest it may be expensive, partly because of rising memory chip costs. Some of its more playful features also feel uncertain. In demos, the phone can move along to music, but with only a handful of pre-set tracks, it is hard to tell whether that feature will be genuinely useful or remain more of a showcase moment.

Then there are the practical questions. A motorized camera system could make the phone heavier and more top-heavy, which may affect comfort during daily use. Running a motor alongside continuous AI tracking will also likely put pressure on battery life. These are not dealbreakers, but they are trade-offs that will matter outside of a demo.

Privacy is another concern that is hard to overlook. Some of the AI features rely on cloud processing, which means certain data is sent to external servers instead of being processed fully on the device. That is common in many AI systems today, but it feels more significant here because the phone is built to actively track movement and reposition its camera in real time. For some people, that level of autonomy may feel intrusive rather than helpful. It also raises bigger questions about what sensors are built into the device and how much data they collect during everyday use.  

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Final verdict: Is the HONOR Robot Phone worth paying attention to?

So, is the HONOR Robot Phone a real step forward, or just a clever idea packaged well?

The answer depends on who it is for.  

For content creators, the appeal is obvious. Early indications suggest it could make video capture easier by reducing the need for extra gear. Honor’s collaboration with cinema camera company ARRI also suggests a serious push toward more cinematic smartphone footage.

For everyone else, the value is less clear. Outside of content creation, it is still hard to see how these features would translate into everyday use in a meaningful way.

For now, the Robot Phone sits somewhere between promise and experiment. Whether it turns into a genuinely useful new kind of smartphone or fades away as a novelty will only become clear once it moves beyond controlled demos and into real life.

A newly built district in northern China is being used to test how cities function when infrastructure, data and automation are integrated from the ground up. In Xiong'an New Area, traffic systems, public monitoring and urban services are designed to respond in real time rather than operate on fixed rules.

At the centre of this is a traffic management system powered by more than 20,000 roadside sensors. These track traffic flow, vehicle types and congestion levels, feeding data into an AI system that adjusts signals in milliseconds. Official figures show this has reduced the average number of stops per vehicle by half. The system also detects equipment faults, sends alerts and generates maintenance requests without manual input.

Automation extends beyond roads. Drones are deployed across the city for routine monitoring. In the Rongdong district, roadside units release drones that follow fixed patrol routes of around 1.27 kilometres, completing each run in about five minutes. They are used to monitor traffic, detect illegal parking and inspect public spaces. Similar systems operate in parks to track water levels and issue flood alerts, while in some work zones, drones transport packages of up to five kilograms between buildings.

These applications reflect a broader approach: integrating multiple systems into a single, connected urban framework. Unlike older cities where infrastructure evolves in layers, Xiong’an has been built with coordinated digital systems from the outset. This allows transport, maintenance and public services to operate through shared data systems rather than in isolation.

Alongside this, the area is being developed as a technology and innovation hub. Since its establishment in 2017, it has attracted more than 400 branches of state-owned enterprises and over 200 companies working in sectors such as artificial intelligence, aerospace information and digital technology.

This ecosystem supports projects like the “Xiong’an-1” satellite, which completed research, design, production and testing within eight months of regulatory approval in 2025. The satellite is currently undergoing testing, with a planned launch expected in the second quarter of 2026. It forms part of a broader push to build an aerospace information industry in the region.

The area is also structured to bring companies, research and production closer together. At the Zhongguancun Science Park in Xiong’an, which spans 207,000 square metres, 269 technology companies operate across sectors including AI, robotics and biotechnology. The park hosts more than 2,700 researchers and industry professionals, with companies organised into sector-specific clusters.

Policy support continues to shape this development. In early 2026, the State Council approved the upgrade of Xiong’an’s high-tech industrial development zone to national level status, with a focus on attracting high-end research and strengthening links between scientific development and industrial output.  

Xiong’an is positioned as a testing ground for how smart city systems can be deployed at scale. The model depends on coordinated planning, integrated infrastructure and sustained policy support. Whether these systems can be adapted to existing cities, where infrastructure and governance are more fragmented, remains an open question.

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A newly built district in northern China is being used to test how cities function when infrastructure, data and automation are integrated from the ground up. In Xiong'an New Area, traffic systems, public monitoring and urban services are designed to respond in real time rather than operate on fixed rules.

At the centre of this is a traffic management system powered by more than 20,000 roadside sensors. These track traffic flow, vehicle types and congestion levels, feeding data into an AI system that adjusts signals in milliseconds. Official figures show this has reduced the average number of stops per vehicle by half. The system also detects equipment faults, sends alerts and generates maintenance requests without manual input.

Automation extends beyond roads. Drones are deployed across the city for routine monitoring. In the Rongdong district, roadside units release drones that follow fixed patrol routes of around 1.27 kilometres, completing each run in about five minutes. They are used to monitor traffic, detect illegal parking and inspect public spaces. Similar systems operate in parks to track water levels and issue flood alerts, while in some work zones, drones transport packages of up to five kilograms between buildings.

These applications reflect a broader approach: integrating multiple systems into a single, connected urban framework. Unlike older cities where infrastructure evolves in layers, Xiong’an has been built with coordinated digital systems from the outset. This allows transport, maintenance and public services to operate through shared data systems rather than in isolation.

Alongside this, the area is being developed as a technology and innovation hub. Since its establishment in 2017, it has attracted more than 400 branches of state-owned enterprises and over 200 companies working in sectors such as artificial intelligence, aerospace information and digital technology.

This ecosystem supports projects like the “Xiong’an-1” satellite, which completed research, design, production and testing within eight months of regulatory approval in 2025. The satellite is currently undergoing testing, with a planned launch expected in the second quarter of 2026. It forms part of a broader push to build an aerospace information industry in the region.

The area is also structured to bring companies, research and production closer together. At the Zhongguancun Science Park in Xiong’an, which spans 207,000 square metres, 269 technology companies operate across sectors including AI, robotics and biotechnology. The park hosts more than 2,700 researchers and industry professionals, with companies organised into sector-specific clusters.

Policy support continues to shape this development. In early 2026, the State Council approved the upgrade of Xiong’an’s high-tech industrial development zone to national level status, with a focus on attracting high-end research and strengthening links between scientific development and industrial output.  

Xiong’an is positioned as a testing ground for how smart city systems can be deployed at scale. The model depends on coordinated planning, integrated infrastructure and sustained policy support. Whether these systems can be adapted to existing cities, where infrastructure and governance are more fragmented, remains an open question.

On January 22, 2026, World of Dance Hong Kong became the first global event to pilot Mitico’s community-based livestreaming model. The idea is simple: rethink how live competitions are shared in a digital-first world.

Instead of relying on a single official broadcast, the event was produced as one centralised live feed. It was then distributed across multiple creators and influencers, each hosting the stream for their own audience.

This gave creators room to add their own commentary, adapt the language and bring in cultural context that suited their communities, while the production remained consistent behind the scenes.  

“Dance is a universal language”, said David Gonzalez, President of World of Dance. “Our collaboration with Mitico to produce an international, creator-led livestream in Hong Kong allowed a regional competition to reach a global audience. With personalised commentary from hosts in different languages, we can begin to see how regional events may connect through global communities”. This approach points to a shift away from traditional broadcaster-led distribution and toward creator-led amplification.

Mitico’s approach begins with a familiar industry challenge: the high cost of production and licensing, which often makes it difficult to livestream cultural and sports events at scale.  

“Many cultural and sports competitions are never livestreamed because traditional broadcasting is too costly and complex”, said Chengcheng Li, Founder of Mitico. “By distributing a centralised production feed through creators and community hosts, regional events can reach global audiences while maintaining a unified production workflow”.

World of Dance (WOD) offered a natural test environment. It started as a global dance competition platform before entering a television partnership with NBC, which later produced four seasons of the World of Dance reality series. While the television programme concluded in 2021, the competition business has continued to expand through an international network of partners. Today, World of Dance competitions are represented in more than 72 countries, producing nearly 100 events each year, with a digital audience of more than 34 million followers across platforms

Despite that scale, many competitions are not livestreamed due to the high production costs and technical demands associated with traditional broadcasting. The Hong Kong event was selected to assess whether a community-led distribution model could offer a more scalable alternative for live coverage.

While no changes to World of Dance’s broader distribution strategy have been announced, the Hong Kong pilot offers an early indication of how global competitions may rethink livestreaming in an increasingly creator-driven media environment.

The China International Medical Equipment Fair 2026 will open in Shanghai from April 9 to 12 at the National Exhibition and Convention Center. It is one of the largest gatherings in the medical device industry. This year’s edition will cover more than 320,000 square metres. Nearly 5,000 companies and brands are expected to participate, representing over 20 countries and regions. Organisers also expect more than 200,000 professional visitors and buyers from around 150 markets.

A key focus this year is the growing use of artificial intelligence in healthcare. One of the headline technologies is an AI agent designed to carry out multiple diagnoses from a single scan. The exhibition will also feature diagnostic software that is already in clinical use. In addition, an integrated platform for AI training and inference will be showcased to improve computing capacity within healthcare institutions.

Robotics will also play a central role at the event. New systems across surgical procedures, rehabilitation and elderly care are expected to be presented. Together, these developments point to a steady move toward more precise and assisted forms of care. Many of these technologies are designed to support clinicians and patients, especially in tasks that require consistent accuracy or long-term physical assistance.

For the first time, the event will introduce a dedicated Future Tech Arena. It will focus on brain-computer interfaces, embodied intelligence and university-led innovation. The space will include AI-assisted MRI systems for Alzheimer’s diagnosis. It will also feature brain-computer interface technologies used for cognitive assessment and training, along with wearable robotic exoskeletons.

Alongside product showcases, the event will continue to act as a platform for international trade and collaboration. An International Zone will host exhibitors from countries such as the United States, Germany, Japan, South Korea, the United Kingdom, France, Singapore, Malaysia and Thailand. This provides a view of how different markets are approaching medical technology. It also reflects the global nature of innovation and deployment in this sector.

The programme will include a set of networking and exchange formats under its “We” initiative. These include discussion stages with representatives from consulates and industry organisations, as well as matchmaking sessions based on verified buyer demand. Guided tours will also be organised to help international visitors connect with relevant exhibitors. In parallel, organisers are working with hospital partners to provide medical support services for attendees during the event.

Across the four days, hundreds of forums are scheduled. These will bring together policymakers, researchers and industry leaders to discuss regulatory frameworks, market access and the future of healthcare innovation. Some of these sessions will be led by the Global Harmonization Working Party in collaboration with the Ministry of Health of Malaysia, with a focus on regulatory alignment and cross-border cooperation in medical devices.

As healthcare systems continue to adopt digital tools and advanced equipment, events like CMEF provide a clear view of how these technologies are being developed and applied. The scale of participation this year reflects continued activity across both innovation and international collaboration in the medical device sector.

As the FIFA World Cup 2026 approaches, attention is beginning to shift beyond the matches themselves to how an event of this scale is organised and run. Managing teams, coordinating venues and handling large crowds requires a system that works with precision. This time, robotics is set to become part of that system.

Hyundai Motor Company, a long-time FIFA partner, is expanding its role for the 2026 tournament. Alongside its traditional responsibility of providing vehicles for teams, officials and media, the company will introduce robotics in collaboration with Boston Dynamics. Robots including Atlas and Spot are expected to be deployed at selected venues.

According to the announcement, these systems will be used to support tournament operations while contributing to safety and efficiency. They will also play a role in shaping how fans experience the event, indicating a broader use of technology within the tournament environment. While specific use cases have not been detailed, the inclusion of robotics reflects a growing effort to integrate advanced systems into large-scale public events.

The direction was introduced through the company’s global campaign, “Next Starts Now,” unveiled at the 2026 New York International Auto Show. The campaign is positioned around its wider focus on innovation across mobility and robotics, aligning with its long-standing partnership with FIFA, which now spans more than two decades. As part of the 2026 tournament, the company will also deploy its largest mobility fleet to date, working alongside these newer systems across venues.

Beyond operations, the initiative extends into community engagement. Youth football camps are set to take place across four host cities in the United States—Atlanta, Miami, New Jersey and Los Angeles—targeting children between the ages of six and twelve. A global drawing programme will also invite young fans to submit artwork supporting their national teams, with selected designs to be featured on official team buses during the tournament.

Taken together, the introduction of robotics alongside existing infrastructure points to a gradual shift in how major events are supported. Rather than operating only behind the scenes, technology is becoming more visible within the event itself. How these systems perform in a live, large-scale setting will become clearer once the tournament begins.

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As artificial intelligence makes it easier to write code, a different problem is starting to surface. Building software is no longer limited by technical skill alone. Increasingly, the challenge lies in deciding what to build, how to structure it, and how to turn an idea into something that actually works.

That shift sits at the centre of BrainGrid, a startup that has raised $1 million in pre-seed funding led by Menlo Ventures, with participation from Next Tier Ventures and Brainstorm Ventures. The company is building what it describes as an AI-powered planning layer for people who want to create software but may not have a technical background.

The timing reflects a broader change in how products are being built. Tools like Claude Code and Cursor have made it possible to generate working code through simple prompts. For many first-time founders, this has lowered the barrier to entry. But writing code is only one part of the process. Turning that code into a reliable product requires structure, sequencing and clarity—areas where many projects begin to fall apart.

In traditional teams, this responsibility sits with product managers who define what needs to be built and in what order. Without that layer, even well-written code can lead to products that feel disjointed or incomplete. Features may not work together, integrations can break and the final product often does not match the original idea.

BrainGrid is designed to address that gap. Instead of focusing on generating code, it helps users map out the structure of a product before development begins. The aim is to give builders a clearer starting point so that the tools they use—whether human or AI—can produce more consistent results.

The company says more than 500 builders have already used it to create software products across areas like fitness, healthcare and productivity. These range from first-time founders experimenting with new ideas to experienced developers working independently. In many cases, the products are already live and generating revenue, suggesting that the demand is not just for experimentation but for building something that can scale.

For investors, the appeal lies in the evolving role of software development. As AI takes on more of the technical work, the value shifts toward defining the problem and structuring the solution. In that sense, planning becomes less of a background task and more of a core capability.

The US$1 million raise is relatively modest, but it points to a larger trend. As more people gain access to AI tools, the number of potential builders expands. What remains limited is the ability to organise ideas into products that work in the real world. If that shift continues, the next wave of software may not be defined by who can code, but by who can plan.

As global tech ecosystems become more interconnected, the ability to move innovation across borders is becoming just as important as building it. A new partnership between MTR Lab, the investment arm of MTR Corporation and ZGC Science City Ltd, a government-backed technology ecosystem based in Beijing’s Haidian district, reflects this shift.

At its core, the collaboration is designed to connect high-potential Chinese startups with global capital, real-world deployment opportunities and international markets. It focuses on sectors like AI, robotics, smart mobility and sustainable urban development—areas where China already has strong technical depth but where scaling beyond domestic markets can be more complex.

This is where the partnership begins to matter. ZGC Science City sits at the center of one of China’s most concentrated innovation clusters, with thousands of AI companies and a growing base of specialised and high-growth firms. MTR Lab, on the other hand, brings access to international markets, industry networks and practical deployment environments tied to infrastructure, transport and urban systems. Together, they are attempting to bridge a familiar gap: turning local innovation into globally relevant products.

In practice, the model is straightforward. ZGC Science City will introduce MTR Lab to startups working in priority sectors, creating a pipeline for potential investment and collaboration. From there, MTR Lab can support these companies through funding, pilot projects and access to overseas markets. The idea is not just to invest, but to help startups test and apply their technologies in real-world settings, particularly in complex urban environments.

The timing is notable. China’s AI and deep tech ecosystem has expanded rapidly, with thousands of companies contributing to advancements in automation, smart infrastructure and sustainability. At the same time, global demand for these technologies is rising, especially as cities look for more efficient and scalable solutions. Yet, moving from innovation to adoption often requires cross-border coordination—something individual startups may struggle to navigate alone.

This partnership also builds on a broader pattern. Corporate venture arms like MTR Lab are increasingly positioning themselves not just as investors, but as connectors between markets. By combining capital with access to infrastructure and deployment scenarios, they offer startups a way to move faster from development to real-world use. For ZGC Science City, the collaboration adds an international layer to its ecosystem, helping local companies extend beyond domestic growth.

What emerges is a model that goes beyond a typical investment announcement. It reflects a growing recognition that innovation today is rarely confined to one geography. Technologies may be developed in one ecosystem, refined in another and scaled globally through partnerships like this.

As cross-border collaboration becomes more central to how startups grow, partnerships like the one between MTR Lab and ZGC Science City point to a more connected innovation landscape—one where access, not just invention, defines success.