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ShengShu Technology Unveils Vidu S1, Bringing Real-Time Interactive Generation to AI Video

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SINGAPORE, July 3, 2026 /PRNewswire/ — At the 2026 Global Digital Economy Conference, ShengShu Technology today unveiled Vidu S1, its next-generation video foundation model, delivering real-time interactive video generation that transforms AI video from creating single clips to enabling continuous, live interaction.

Vidu S1 supports real-time video conversations with voice-guided character control, allowing users to control AI avatars naturally through voice input while engaging in unlimited, continuous interactions. The model delivers 540P (960×540) resolution at 25 FPS (up to 42 FPS) and enables users to instantly create personalized interactive characters from a single image—whether a real person, an anime character, or even a pet—paired with a customizable voice. Together, these capabilities create a more natural, fluid, and immersive real-time interactive experience. Notably, the entire system runs on consumer-grade GPUs, significantly reducing the hardware requirements for real-time interactive video generation.

From Offline Video Generation to Real-Time Interaction

Most existing video generation models operate in an offline workflow: users submit a prompt, wait for the video to be generated, and then view the completed result. Once generated, the content remains fixed. Making changes to an AI avatar’s actions or the storyline typically requires generating a new video, limiting interaction to a one-way creation-and-viewing experience.

Vidu S1 introduces a real-time interactive video generation framework that enables users to provide voice input continuously throughout a real-time video conversation. The model processes voice input alongside conversational context and the current visual context, allowing subsequent video content to be generated and updated in real time.

Beyond real-time generation, Vidu S1 also advances voice interaction from simple lip synchronization to full AI avatar control. Rather than relying on audio-driven lip movements and predefined animation libraries, the model interprets the semantic meaning, intent, and emotional context of spoken input to generate synchronized lip movements, facial expressions, eye movements, gestures, body posture, and full-body actions in real time.

Together, these capabilities enable AI avatars to understand user instructions, respond naturally during conversations, and support continuous, real-time interaction.

Unlimited Real-Time Video Generation

Most video generation models today produce clips with a fixed duration, typically ranging from a few seconds to several tens of seconds. Once generation begins, users have limited ability to influence how the video evolves.

Vidu S1 adopts an autoregressive diffusion (AR + Diffusion) architecture. Rather than generating an entire video upfront, it continuously predicts and generates subsequent video content based on previously generated frames, current voice instructions, and conversational context. As users provide new instructions, the model updates the character’s expressions, movements, and subsequent actions in real time, enabling the interaction to evolve continuously throughout the conversation.

In addition to real-time interaction, Vidu S1 is a leading model for unlimited-duration real-time video generation. This requires more than continuous generation alone. The model must simultaneously preserve character identity, maintain natural and coherent motion, continuously process user input, and respond in real time throughout extended conversations.

By combining these capabilities, Vidu S1 enables persistent generative video interaction, allowing characters to remain responsive, visually consistent, and continuously interactive over extended periods.

540P at 25 FPS for Video-Call-Quality Interaction

Delivering real-time interactive video requires not only streaming generation, but also the resolution and frame rate needed to support natural, responsive conversations.

To meet these requirements, ShengShu Technology optimized Vidu S1 across model acceleration, inference, and system deployment, enabling real-time interactive video generation at 540P (960×540) resolution and 25 FPS, with support for up to 42 FPS.

At the model level, Vidu S1 is powered by ShengShu Technology’s inference acceleration techniques, including TurboDiffusion [1], low-bit SageAttention [2], and sparse attention methods such as SLA [3] and SpargeAttention [4]. Through few-step generation, model quantization, and optimized inference kernels, Vidu S1 significantly reduces the computational cost of generating each frame while supporting high-frame-rate output. This efficiency allows Vidu S1 to run real-time interactive generation on consumer-grade GPUs, rather than the large server clusters such workloads typically require.

At the system level, TurboServe [5], ShengShu Technology’s inference serving engine, efficiently schedules inference workloads while maintaining user inputs, character states, and visual context throughout an interaction. Compute resources are dynamically allocated based on the interaction state to support stable, low-latency real-time interactive video generation.

Together, these model- and system-level optimizations enable Vidu S1 to deliver continuous, stable, and responsive real-time interactive video generation throughout extended interactions.

These capabilities provide the technical foundation for applications such as real-time video conversations, interactive livestreaming, AI companionship, interactive gaming, and XR experiences.

Create Interactive Characters from a Single Image

Creating traditional AI avatars typically requires multiple images or video assets, followed by character modeling, rigging, lip-sync configuration, and dedicated training before the character can be used for interaction.

Vidu S1 introduces a fully generative workflow that eliminates the need for character-specific modeling and training. Users simply upload a single image, and the model captures the character’s identity, appearance, and visual style to generate synchronized lip movements, facial expressions, gestures, and full-body motion in real time.

Whether based on a real person, an anime character, or a pet, a single image can be turned into a real-time interactive character. Vidu S1 also supports customizable voices, enabling a consistent visual and vocal identity for each character.

By reducing character creation from a multi-step production pipeline to a single-image workflow, Vidu S1 makes personalized real-time interactive characters significantly easier to create.

A New Chapter for Interactive AI Video

As video foundation models continue to evolve, industry competition is expanding beyond image quality, generation speed, and video duration toward broader capabilities in real-time responsiveness, continuity, controllability, and interaction.

With Vidu S1, real-time interactive video generation enables AI video to move beyond pre-generated content toward dynamic, responsive experiences in which AI can understand user input, respond in real time, and evolve continuously throughout an interaction.

Looking ahead, Vidu S1 has the potential to support a wide range of applications, including AI companions, AI virtual influencers, interactive livestreaming, game NPCs, branded AI avatars, intelligent customer service, online education, and XR experiences. These capabilities enable AI avatars to evolve from one-time content assets into persistent, always-on interactive agents.

From generating individual video clips to enabling continuous interaction, and from one-way content creation to real-time two-way engagement, Vidu S1 expands the capabilities of video foundation models and lays the foundation for the next generation of interactive AI experiences.

Availability

Vidu S1 is now publicly available, enabling users to create and interact with AI avatars from their own custom images in real time. An API platform is also available for developers and enterprise partners to build real-time interactive applications.

Global Experience: https://www.vidu.com/vidu-stream

API: https://platform.vidu.com/live/landing

References
[1] TurboDiffusion: Accelerating Video Diffusion Models by 100–200 Times.
[2] SageAttention: Accurate 8-bit Attention for Plug-and-Play Inference Acceleration.
[3] SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention.
[4] SpargeAttention: Accurate and Training-Free Sparse Attention Accelerating Any Model Inference.
[5] TurboServe: Serving Streaming Video Generation Efficiently and Economically.

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Axon Announces Body 5: Next-Generation Camera Built for the AI Era

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Axon Body 5 delivers 25x the AI processing power of earlier-generation cameras, with upgraded connectivity, audio and battery life to support real-time situational awareness in the field

SCOTTSDALE, Ariz., Oct. 24, 2026 /PRNewswire/ — Axon (Nasdaq: AXON), the global leader in public safety technology, today announced Axon Body 5, its newest body-worn camera designed to bring more powerful intelligence, connectivity and real-time support directly to officers in the field.

For years, Axon body cameras have helped agencies capture critical evidence and create greater transparency. Body 5 is built to help officers during the call, with information, assistance and backup on the spot.

“Officers shouldn’t have to choose between getting information and watching the scene. With Axon Body 5, they don’t,” said Rick Smith, Axon Founder and CEO. “They capture a license or document with the camera, keep their hands free and eyes up, and get information faster than writing it down and calling it in by radio. An officer fully engaged with the person in front of them, not down at a notepad, is a safer officer and a better-served community.”

Axon Body 5: Built for the AI Era

Built from the ground up for the AI era, Axon Body 5 delivers 25x the AI processing power than earlier generation Axon body cameras, alongside advancements in connectivity, audio, video and battery life. Together, these upgrades give the camera the physical power to run smarter AI features — both today and as new AI tools are developed in the future — while also making it more dependable for officers to use every day. 

For the first time, Axon is also introducing two versions of its latest flagship camera: Axon Body 5 and Axon Body 5 Pro.

Both models feature several key advancements, including:

25x more processing power for AI: A powerful new computing architecture creates the capacity to support current and future AI features directly on the body camera.Enhanced video: Improved video captures clearer evidence across challenging environments, including better low-light performance.Improved connectivity: Seamless connectivity in urban and remote environments – and more precise location capability – helps officers, cameras and remote support teams stay connected when timely information matters most.Longer battery life: 20% more battery life than the previous generation helps keep the camera ready and connected throughout an officer’s shift.

The Axon Body 5 Pro will continue to gain new AI capabilities as they become available, growing along with the AI Era Plan. Additionally, new hardware features include:

A near-focus camera: An additional dedicated camera lens lets officers scan driver’s licenses to check status and search for wants or warrants in seconds, without returning to the patrol vehicle, with relevant information sent to Axon Fusus to support real-time operations.Front-facing speakers: Four additional speakers project even more powerful audio toward the person an officer is speaking with, helping real-time translations from Axon Assistant carry more clearly over heavy traffic or crowd noise. Additional memory: Extra space lets the camera run several AI tools at once, helping officers stay better informed and work faster.

Bringing More of Axon’s AI Era Into the Field

Axon Body 5 helps officers get more out of the Axon AI Era Plan by bringing smart tools right to the scene. Axon’s portfolio already supports public safety professionals across a growing range of tasks. For example, Draft One helps officers turn body-camera audio into high-quality report drafts and Axon Assistant provides voice-based information access and real-time translation.

Increasingly, Axon is also bringing AI into real-time operations.

Axon Guardian is a new category of AI features within the AI Era Plan that was specifically created to work with an officer’s field-based devices – starting with body cameras and in-car cameras – to improve safety. Guardian is designed to flag potential risks as situations unfold and create alerts when additional attention may be needed. Two of the first features include:

Escalation Detection: When an Axon Body 4 or Axon Body 5 camera is activated and recording, Guardian has the ability to detect potential conflicts in real time and create an alert in Axon Fusus. A human reviews the livestream and decides if additional support or action is needed.Approach Alert: When active on Axon Fleet 3, Guardian can detect if the door of a stopped vehicle opens and alert the officer through the in-car display and their body-worn camera.

Combined, Axon Body 5 and the expanding AI Era portfolio demonstrate the importance of AI as a critical resource to assist public safety professionals before, during and after an incident — reducing administrative burden, improving situational awareness and helping protect more lives.

Innovating Responsibly

Axon’s Responsible Innovation framework guides the development of all of its products. Designed with this in mind, Axon Body 5 and Guardian prioritize human oversight and maintain agency control over data. As a key part of the responsible innovation process, Axon’s independent Ethics and Equity Advisory Council was created to help responsibly develop and deploy new technologies with transparency, while aligning with community expectations.

General availability dates for Axon Body 5 and Axon Guardian will be announced soon. Product features and capabilities vary by configuration. For more information on Axon’s current products and services: Axon Product Catalog – Axon.com.

About Axon
Axon (Nasdaq: AXON) is the global leader in public safety technology supporting state, local, federal and international public safety agencies with technology designed to Protect Life. Complementing its mission, Axon’s growing Enterprise market focuses on protecting critical infrastructure and frontline workers across multiple industries including corporate security, hospitality, retail and healthcare. Founder-led since 1993, Axon builds products with transparency and responsibility. From TASER energy devices to today’s connected network of hardware – including cameras, drones, and robotics – cloud software, sensors, and AI-tools, the Axon ecosystem helps seamlessly protect people and places when it matters most. To ensure these technologies align with community expectations, Axon’s independent Ethics & Equity Advisory Council guides the ethical, inclusive, and accountable design of its products and services. Learn more about the EEAC and Axon’s Responsible Innovation framework at Axon Responsibility. 

Non-Axon trademarks are the property of their respective owners. Axon, TASER and the Delta Logo are trademarks of Axon Enterprise, Inc., some of which are registered in the US and other countries. For more information, visit www.axon.com/legal. All rights reserved.

Please visit https://investor.axon.com and https://www.axon.com/newsroom for more information.

Media Contact:
Kate MacKinnon
Vice President, Communications
press@axon.com

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In HelloNation, Custom Fabrication Expert Mark Coyle Explains a Common Mistake in Custom Aluminum Design

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The article explains why smart geometry, not thicker walls, creates stronger, more efficient aluminum components.

ROCHESTER, N.Y., Oct. 24, 2026 /PRNewswire/ — What early design choice causes many custom aluminum projects to become heavier, costlier, or harder to manufacture? That question is addressed in a HelloNation article featuring insights from Custom Fabrication Expert Mark Coyle of American Custom Metals, Inc. in Rochester, New York, that outlines how misunderstanding aluminum behavior leads designers to rely on thick walls instead of stronger geometry.

The article begins by explaining that many people assume thicker walls automatically make aluminum parts stronger. It notes that aluminum does not respond to wall thickness the way steel does. Instead, its performance is shaped by how the metal flows through the extrusion die. The article states that custom aluminum design is more effective when profiles use ribs, chambers, and flanges to create stiffness without adding unnecessary weight. This guidance helps readers understand why adding material often increases cost without improving strength.

The article also highlights that thicker walls change how aluminum moves during extrusion. When heavy areas fill more slowly, the metal cools unevenly and can develop stress that only appears later. The HelloNation piece explains that well-balanced geometry keeps extrusion smooth and predictable. This consistency makes it easier to maintain dimensional accuracy across long production runs. By focusing on geometry, custom aluminum design avoids the problems that come with slow extrusion speeds and uneven cooling.

Another insight in the article centers on how ribs and internal supports influence stability. It describes how a thin wall supported by a properly placed rib often performs better than a thick wall with no reinforcement. This happens because the rib helps distribute load, improve stiffness, and guide the aluminum as it cools. The article explains that this structural approach makes custom aluminum design more efficient and gives designers more control over how the final part behaves under pressure.

The article also shows why early collaboration between designer and fabricator prevents costly changes. It states that a fabricator familiar with extrusion can catch potential issues before a die is built. Small adjustments to corners or transitions can remove weak points or improve metal flow. The article notes that this teamwork keeps the design aligned with real-world production. By working together early, both sides reduce the risk of redesigning the die after the first test run.

Machining is another area where the article explains how wall thickness affects performance. Features such as deep pockets or sharp internal angles may require slow feed rates or special tooling. When walls are thicker than needed, those areas can become difficult to machine cleanly. The article states that thoughtful custom aluminum design makes machining more predictable. Small changes, such as adding radiused edges or sizing features to match standard tools, help shorten cycle times and prevent tool wear.

Thermal behavior receives detailed attention as well. The article explains that aluminum retains heat differently depending on the mass of each section. Thicker walls hold heat longer, which increases the chance of distortion during extrusion, machining, or finishing. When a design uses geometry to create strength, the material cools more evenly. This reduces warping and helps long profiles stay aligned. The article notes that stable cooling is important for components that require a precise fit and consistent shape throughout an entire production run.

Cost is also a key topic in the article. It states that heavier profiles increase material use, extrusion time, and tooling needs. A custom aluminum design that relies on geometry instead of mass lowers material consumption and keeps the fabrication process efficient. The article explains that lighter parts are easier to handle, ship, and assemble. This saves money across multiple stages of production and supports long-term manufacturing efficiency.

The article also notes that smart custom aluminum design creates profiles that behave predictably during extrusion and machining. Smooth transitions, balanced wall dimensions, and structural features help reduce the chance of distortion or dimensional drift. These elements also lower scrap rates and support reliable performance. By using geometry instead of excess material, designers build parts that maintain strength without compromising manufacturability.

As the article concludes, it emphasizes that avoiding thick walls is one of the best ways to improve performance and lower cost. It states that the most dependable custom aluminum components come from designs that use structural features to strengthen the profile. When designers understand how aluminum behaves at each stage of extrusion and machining, they create parts that are strong, efficient, and consistent from batch to batch. This approach turns custom aluminum design into a predictable process rather than a series of uncertain adjustments.

A Common Mistake in Custom Aluminum Design features insights from Mark Coyle, Custom Fabrication Expert of Rochester, NY, in HelloNation.

About HelloNation
HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused publications and innovative “edvertising” approach, HelloNation delivers content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities.

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World Young Scientist Summit 2026 Opens in Wenzhou, Zhejiang

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WENZHOU, China, Oct. 24, 2026 /PRNewswire/ — This is a report by China Daily:

On October 24, the World Young Scientist Summit 2026 opened in Wenzhou, Zhejiang. The event is hosted by the China Association for Science and Technology (CAST), the Zhejiang Provincial People’s Government, and the World Association of Young Scientists. Nearly 800 representatives, including scientists, educators, and entrepreneurs from more than 60 countries and regions, are attending the summit.

He Junke, Vice President of CAST in charge of daily work and First Secretary of its Secretariat; Lian Yimin, Chairman and Party Group Secretary of the Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference; Marcelo Knobel, Executive Director of The World Academy of Sciences; and Zhang Zhenfeng, Member of the Standing Committee of the CPC Zhejiang Provincial Committee and Secretary of the CPC Wenzhou Municipal Committee, attended the summit and delivered remarks. Yao Gaoyuan, Vice Governor of the Zhejiang Provincial People’s Government, presided over the first segment of the plenary session.

With the theme “Gathering Talents Worldwide to Create a Better Future,” the summit’s annual agenda is “Global Youth Action in the AI Era: Building a Sustainable Future.” It aims to draw on the insights of young people around the world, deepen international sci-tech cooperation, and jointly address questions about young people, science, the world and the future.

Efim Zelmanov, Fields Medalist and Foreign Member of the Chinese Academy of Sciences; Chen Yunji, Deputy Director of the Institute of Computing Technology, CAS, and Director of the National Key Laboratory of Processor Chips; Mary Garson, President of the International Union of Pure and Applied Chemistry; and Lu Chaoyang, Member of the Standing Committee of CAST, Executive Dean of the Shanghai Institute of Advanced Study, University of Science and Technology of China, and Chairman of the Council of the World Association of Young Scientists, delivered keynote speeches respectively on education reform in the AI era, AI and processor chips, young women scientists’ participation in science, and quantum computing. They explored new opportunities for scientific research, talent cultivation, and international cooperation in the AI era.

This year’s summit placed greater emphasis on the growth needs of young scientists, with young talents under the age of 45 accounting for 88 percent of participants. It aimed to build a cluster of international journals, bring together young scientific talent, facilitate a batch of international collaborative projects and advance the application and commercialization of scientific and technological achievements. The summit released the Report on the Distribution and Mobility of Young Scientists in the Field of Embodied Intelligence, launched the World Young Scientist Summit Partner Journal Program and the 2026 World Young Scientist Innovation and Entrepreneurship Growth Support Program. It also published the “Young Scientist Pioneers 2035” list and announced the 2026 Sustainable Development Young Scientist Award. The awards were presented to four Chinese and foreign scientists.

Chen Tianrun, Founder of Hangzhou Moxin Technology Co., Ltd.; Yuan Yang, Assistant to the Dean of the Institute for Interdisciplinary Information Sciences at Tsinghua University; and two of the 2026 Sustainable Development Young Scientist Award winners, César de la Fuente and Nicola Segata, among other Chinese and foreign young scientist representatives, spoke at the flash-talk session to share their research practices and reflections.

In addition, the conference focused on fields such as future manufacturing, quantum information, embodied intelligence, brain-computer intelligence, environmental science, deep-sea resources, and life and health, and held 12 parallel forums. It also included the “Gravitation π” Future Technology and Concept Products Exhibition and Exchange, local thematic side events, and sci-tech and humanities study visits, further building an interdisciplinary, cross-regional and cross-sector platform for youth sci-tech exchange and cooperation.

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