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By Arun Srivastava It would be politically naive to look at the decision of Trinamool Congress chief Mamata Banerjee to stay out of the Nandigram by-poll purely as a calculated move to avoid a trap set by her opponents. Yet another significant move Mamata has made is of a tactical outreach by offering the Nandigram […]

The article Nandigram by-poll, Mamata Banerjee and West Bengal politics appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

The Peerium Computing Architecture achieves strong scaling to the million-processor level through nested parallelism, unified memory addressing, and peer interconnect. It breaks through the Turing paradigm with the introduction of Nested BSP (Nested Bulk Synchronous Parallel), extends the von Neumann single-machine architecture, and overturns the master–slave architecture that has prevailed for decades, so that a million processors truly become one larger computer.

UnifiedBus (UB) is the key interconnect technology that makes the Peerium Computing Architecture possible. Built on a single open protocol, UB is a high-speed bus that scales without limit to connect CPUs, NPUs, memory, SSDs, network interface cards (NICs), and switches. With UB, peer interconnect is achieved across compute, storage, and networking.

The Atlas 950 SuperPoD and SuperPoD-based SuperClusters are the first-generation product built on the Peerium Computing Architecture. An Atlas 950 SuperCluster with 256,000 cards is already being deployed, and the Atlas 960 system based on near-packaged optics (NPO) is currently under testing.

Eric Xu, Huawei’s Rotating Chairman, said, “In the AI era, Huawei is drawing on the Peerium Computing Architecture we pioneered to continuously build the SuperPoDs and SuperPod-based SuperClusters that meet customer needs for training and inference, making computing power available everywhere and intelligence accessible to all.”

Hashtag: #Huawei

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Dr. Julie Xing, Global Board Chairman and CEO Discusses New Pathways to High-Quality Growth with Global Business Leaders

GUANGZHOU, CHINA – Media OutReach Newswire – 17 September 2026 – Lee Kum Kee Sauce (“Lee Kum Kee”), the century-old sauce brand and the only sauce and condiments brand among this year’s Forum partners, actively participated in the 2026 Fortune Global 500 Forum, held on September 16 in Guangzhou, China. Julie Xing, Ph.D., Global Board Chairman and Chief Executive Officer of Lee Kum Kee Sauce, was invited to speak at a panel discussion and to attend the Most Powerful Women (MPW) Breakfast, joining other leading global business leaders to explore the key pathways for enterprises to achieve sustainable growth.

Under the theme “The New Growth Equation”, this year’s forum brought Dr. Xing and three other industry leaders, including Pingyi Huang, Senior Vice President of Shandong Weiqiao Pioneering Group Co., Ltd.; Weiming Xiang, Vice President, GE Aerospace and President, GE Aerospace Greater China; and John Qu, Senior Partner, McKinsey & Company, for a panel discussion titled “The Invisible Moat: Revaluing Soft Power and Sustainability”. Moderated by Wei Yue, Senior Editor at Fortune China, the discussion explored what truly constitutes long-term advantages that can withstand cycles amid rapid technological iteration and intensifying competition. Topics spanned brand trust and consumer mindshare in consumer goods, data insights and organizational transformation in the AI era, and the pathways and stages of globalization for Chinese enterprises.

During the Forum, Dr. Xing was invited to share her insights at the MPW Breakfast themed “Decision-Making Power in the Age of Efficiency”, where she joined leaders from across industries to discuss opportunities and challenges for businesses in the new era. She highlighted that while AI enhances operational efficiency, human judgment, leadership and long-termism remain more critical competitive advantages.

As a recipient of the 2026 Fortune China’s MPW list, Dr. Xing has earned this recognition for three consecutive years. Launched in 2010, the MPW list is regarded as one of the most representative rankings of women business leaders in China.

The Fortune Global 500 Forum this year brought together representatives from over 350 leading global companies, academic institutions, and business leaders worldwide. Discussions focused on topics including artificial intelligence, global supply chain transformation, sustainable development, and opportunities in emerging markets.

Looking ahead, Lee Kum Kee will continue to uphold its commitment to quality and innovation. Alongside driving business growth, the company will further deepen its sustainability practices, nurture talent, and enhance corporate governance, working with all stakeholders to forge new pathways to high-quality growth.
Hashtag: #LeeKumKee #LKK

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About Lee Kum Kee Sauce

Lee Kum Kee Sauce is the global gateway to Asian culinary culture, dedicated to promoting Chinese culinary culture worldwide. Since 1888, it has brought people together over joyful reunions, shared traditions and memorable meals. Beloved by consumers and chefs alike, Lee Kum Kee Sauce’s range of more than 300 sauces and condiments sparks creativity in kitchens everywhere, inspiring professional and home chefs to experiment, create and delight. Headquartered in Hong Kong, China and serving over 100 countries and regions, Lee Kum Kee Sauce’s rich heritage, unwavering commitment to quality, sustainable practices and “Constant Entrepreneurship” combine to enable superior experiences through Asian cuisine for people worldwide. For more information, please visit www.LKK.com.

About Fortune

Fortune is the premier global media company for global business leaders, built on a 96-year-old legacy of trusted, award-winning journalism. Independently owned, Fortune tells the story of business, spanning legacy companies to the world’s new generation of innovators. Fortune measures corporate performance through rigorous benchmarks, and holds companies accountable, in regions around the world. Its iconic rankings include Fortune 500, Fortune Global 500, Most Powerful Women, and World’s Most Admired Companies. Fortune builds world-class communities by convening industry thought leaders for exclusive summits and conferences, including the Fortune Global Forum, Fortune Brainstorm Tech, and Fortune Most Powerful Women. For more information, visit fortune.com.

The model supports multimodal inputs including text, images and video, and generates high-fidelity 1080p videos of 5 to 20 seconds with natively synchronized audio

BEIJING, CHINA – Media OutReach Newswire – 17 September 2026 – HiDream.ai, an AI company specializing in foundation models and generative AI, announced the launch of HiDream-O1-Video-1.0, or HiDream V1, its native omnimodal video generation model.

Designed around a deeper understanding of creative intent and real-world physics, HiDream V1 supports multimodal inputs including text, images and video. It can generate high-fidelity 1080p videos ranging from 5 to 20 seconds, with enhanced narrative planning, character consistency, physical plausibility and audiovisual synchronization.

In its debut on two independent international benchmarks, HiDream V1 ranked No. 4 globally on the Artificial Analysis Image to Video Leaderboard (With Audio) and No. 8 on the Arena.ai Image-to-Video leaderboard, placing it among the world’s leading video generation models.

Artificial Analysis independently evaluates leading AI models through standardized and reproducible benchmark testing. Arena.ai uses anonymous head-to-head comparisons and user voting to assess model outputs. Together, the two platforms provide third-party perspectives on model performance based on both standardized testing and real-world user preferences.

HiDream V1’s results demonstrate its competitiveness across key dimensions including visual quality, prompt adherence, motion quality, narrative coherence and audiovisual coordination.

The global AI video generation market has become increasingly competitive, with models developed by Chinese teams—including Seedance and MiniMax H3—maintaining strong positions on international leaderboards. HiDream V1’s top-tier debut further expands China’s presence among the world’s leading video generation models.

“The next generation of video models will not be defined solely by higher resolution or longer duration,” said Yao Ting, Chief Technology Officer of HiDream.ai. “What matters is whether a model can genuinely understand a creator’s intent and how objects, actions and sounds interact in the real world. HiDream V1 was designed from the outset to represent text, video and audio within a unified framework. Our goal is to move video generation beyond simply looking sharp and moving smoothly toward understanding instructions, sustaining coherent performances and keeping sound aligned with visuals. Its performance on two independent international benchmarks provides encouraging validation of our native omnimodal approach.”

Upgrades in Visual Fidelity, Narrative Coherence and Character Consistency
HiDream V1 introduces broad improvements in high-fidelity rendering, narrative continuity and character consistency. Rather than optimizing only for the quality of individual frames, the model is designed to maintain coherence across an entire video sequence.

Once characters, emotions, motivations and physical rules are placed within a continuous sequence, each element can affect the others. HiDream therefore uses a technical framework built around three stages: planning first, followed by joint generation, and then alignment through multimodal reward signals.

Under this approach, the model first plans the narrative and character states at a global level. It then jointly constrains visuals, movement and semantics during generation, before using multimodal reward signals to align visual quality, continuity and physical plausibility.

Native Omnimodal Architecture for Better Intent and Physics Understanding
The central challenge in AI video generation is shifting from the quality of individual frames to a broader understanding of complex instructions, continuous motion and the rules governing the physical world.

User prompts often contain multiple layers of information, including characters, actions, settings, camera directions, dialogue and sound. To handle these requirements more effectively, HiDream V1 incorporates multimodal intent understanding and planning. Before generation begins, the model structures the user’s request across elements such as shot duration, setting, character state, movement, facial expression, composition, camera motion, dialogue and ambient sound.

Through this “understand, plan and generate” workflow, HiDream V1 plans narrative development and character states at a global level, while coordinating visuals, motion, semantics and audio during generation. This is designed to improve content completeness, character consistency and continuity between shots.

Physical reasoning is another core capability of HiDream V1. The model incorporates factors such as gravity, inertia, collisions, deformation, materials, lighting and spatial continuity into the generation process. As a result, object movement, character actions and environmental responses can more closely reflect the behavior of the real world.

This approach moves video generation beyond reproducing visual appearances and toward modeling how a dynamic world operates over time.

Content-Adaptive Video Duration
Most current video generation models require users to specify a fixed duration in advance, forcing the content to fit within a predetermined time window. This can lead to unnecessary pauses after an action has ended or the use of slow motion to fill the remaining time.

HiDream V1 instead incorporates duration into its narrative planning process. Within a range of 5 to 20 seconds, the model can determine an appropriate video length based on how an event unfolds, how long an action takes to complete and the pacing required by the content.

The capability is not simply a matter of adding or removing frames. It is designed to make duration serve the narrative, producing more natural pacing and more complete sequences. Users can focus on describing the event and intended outcome, while the model plans the corresponding temporal structure.

Conventional AI video generation systems often follow a staged workflow in which visuals are generated first and sound is added afterward. This can lead to mismatches between lip movements, physical actions, ambient sound and sound effects.

HiDream V1 uses a native omnimodal architecture to jointly model text, video and audio signals. The three modalities constrain and inform one another within a single generation process. Visual motion influences sound timing, dialogue and sound effects contribute to the emotional tone of a scene, and text conditions guide the generation process throughout.

This unified approach is designed to improve synchronization across character performance, environmental changes and physical actions.

During post-training, HiDream uses Diffusion Reinforcement Learning and a multimodal reward model aligned with human perception and aesthetic preferences. Generated content is evaluated across multiple dimensions, including visual quality, semantics, motion, physical plausibility and sound, helping improve overall consistency and realism.

Completing HiDream’s Native Omnimodal World Model Portfolio
HiDream V1 is not a standalone model. It is a core component of HiDream’s native omnimodal world model strategy.

Built on a unified UiT, or Unified Transformer, foundation, the company’s portfolio now comprises four major model families:

• HiDream-O1-Image, for image understanding and generation;
• HiDream-O1-Video, for dynamic content generation and temporal storytelling;
• HiDream-O1-World, for 3D environment simulation and real-time interaction; and
• HiDream-O1-Embodied, for spatial reasoning, action planning and feedback in embodied AI.

Rather than operating as four separate technology stacks, the models are designed to evolve from the same unified architecture. Together, they cover spatial understanding, temporal modeling, 3D interaction and embodied action, creating an integrated system for perceiving, understanding, generating, interacting with and acting upon the physical world.

HiDream’s models have previously achieved leading results on several independent benchmarks. HiDream-O1-Image 1.5, the commercial version of the company’s image model, ranked No. 2 globally and No. 1 among Chinese models on the Artificial Analysis text-to-image leaderboard, while its open-source edition also reached No. 2. HiDream-O1-World ranked No. 1 overall on WBench, a benchmark for interactive world models. HiDream-O1-Embodied achieved first-place results in the disturbance adaptation and spatial reasoning categories of RoboColiseum.

“We are not building four isolated model product lines,” said Dr. Mei Tao, founder and CEO of HiDream.ai. “We are building a native omnimodal system that shares a unified technical foundation and continues to evolve toward a deeper understanding of the real world. Competition among the next generation of foundation models will depend not only on improvements in individual capabilities, but also on whether different modalities can understand, generate and interact within a unified architecture.”

From understanding and generating the world to simulating and acting within it, the launch of HiDream V1 completes a key part of HiDream’s native omnimodal world model portfolio.

Alongside the launch of HiDream V1, HiDream announced the completion of a Series C+ financing round backed by New Micro Capital, Jiaozi Capital and ICBC Capital. The proceeds will support native omnimodal model research and development, product iteration, AI computing infrastructure and the expansion of industry applications.

New Micro Capital was jointly established by Shanghai New Micro Technology Group, Shanghai Science and Technology Venture Capital Group and its management team. The firm manages nearly RMB 10 billion in assets.

As the corporate venture capital arm of New Micro Technology Group, New Micro Capital is expanding its investments in artificial intelligence. Drawing on the group’s industrial capabilities in specialty integrated-circuit manufacturing, it seeks to advance collaboration across AI infrastructure, model technologies and end-user applications.

Jiaozi Capital is a wholly owned state-backed equity investment platform under Chengdu Jiaozi Financial Holding Group. The firm focuses on artificial intelligence and other strategic technology sectors, using long-term capital and industrial resources to accelerate technology commercialization and ecosystem development.

With the launch of HiDream V1, HiDream’s native omnimodal world model strategy is moving from a technical roadmap toward an integrated system supported by a unified foundation, a coordinated model portfolio and deployable product capabilities.

HiDream V1 is currently in internal testing and is expected to become available in the near future. Users can learn more at: https://hiharness.ai/

Hashtag: #HiDreamAI

The issuer is solely responsible for the content of this announcement.

About HiDream.ai

HiDream.ai is an artificial intelligence company focused on generative AI and native omnimodal world models. Built on its unified UiT architecture, the company’s model portfolio spans image generation, video generation, interactive world simulation and embodied intelligence. HiDream aims to develop AI systems capable of understanding, generating, simulating and acting upon the real world.

Leaderboard disclaimer: Rankings cited in this release reflect publicly available results at the time of publication and may change as participating models, evaluation data or platform methodologies are updated.

Rotating chairman David Wang said at Huawei Connect 2026 in Shanghai on Thursday that the company plans to release the 960DT in the first quarter of 2027 and the Ascend 960PR in the third quarter. The roadmap places Huawei’s next generation of accelerators at the centre of its effort to build domestic alternatives for training and running increasingly demanding AI models.

Huawei also unveiled the Ascend 960 SuperPoD and an upgraded version of its UnifiedBus interconnect technology, designed to link large numbers of processors so they can function as one computing system. The company said a combination of UnifiedBus and its Hi-ONE optical system could connect as many as 4,000 processors within a SuperPoD, extending high-speed optical links deeper into the machine.

The strategy reflects a broader shift towards system-level performance rather than relying solely on the capability of individual chips. Advanced AI workloads require thousands of processors to exchange data rapidly, making networking bandwidth, memory access and cluster efficiency increasingly important alongside raw chip performance.

Wang said Huawei has developed 11 semiconductors based on UnifiedBus technology for use across its large computing systems. Its biggest planned superclusters will be able to support up to one million AI processors, he said, while the company has already shipped more than 1,000 smaller supernodes to more than 370 customers.

Huawei did not identify those customers or give a detailed breakdown of shipments. It also did not provide independently verified benchmarks directly comparing the new 960-series chips with Nvidia’s leading accelerators, leaving questions over single-chip performance, software compatibility and manufacturing scale.

The company had previously said the Ascend 960 would offer twice the computing power, memory capacity, memory bandwidth and interconnect ports of the Ascend 950 generation. Huawei has also been developing the Atlas 960 SuperPoD and SuperCluster, with the larger system intended to combine more than one million neural processing units when it reaches the market.

Huawei’s current product roadmap also includes the Ascend 950DT, due in the fourth quarter of 2026. The company has said that processor will use its HiZQ 2.0 high-bandwidth memory, providing 144 GB of capacity and 4 terabytes per second of bandwidth. Those specifications are intended to support both model training and the decode stage of inference workloads.

US restrictions have limited China’s access to cutting-edge Nvidia processors and advanced semiconductor manufacturing equipment, giving domestic suppliers greater room to expand. Huawei has emerged as the most prominent of those suppliers, but Nvidia retains a major advantage through its CUDA software ecosystem and a broad global developer base.

Chinese AI developers have increasingly turned to domestic accelerators for inference, where trained models generate responses, even as many frontier laboratories continue to depend on Nvidia hardware for the most demanding training jobs. That split has made Huawei’s ability to improve both hardware and software a critical test of whether China can reduce its dependence on foreign computing infrastructure.

Huawei is also contending with shortages of high-bandwidth memory, a key component in AI accelerators. The company has designed memory for some newer Ascend products, but supply constraints across the industry have increased costs and complicated efforts to scale production quickly enough to meet demand.

The group is seeking to offset those limitations through architectural changes, advanced packaging, optical networking and tighter integration between chips, systems and software. Its SuperPoD approach is intended to compensate for weaker performance from individual processors by allowing much larger numbers of chips to work together with lower latency.

With the Omni Trio washing machine and AT8 Ultra wet-and-dry floor cleaner as key highlights, the showcase addressed a wide range of everyday home-care challenges, including separate laundry care, noise and vibration reduction, stubborn stain removal and the cleaning of tangled hair from floors.

During the exhibition, the products drew attention from German technology and smart-home media and also received recognition from industry bodies. The showcase innovations were honoured with the YD Best Design Award, while the Omni Trio received VDE A-10% low-noise certification, highlighting Midea’s continued strengths in both industrial design and product engineering.

Two Products, One Home-Care Direction

The Omni Trio brings a different approach to laundry separation. Its three independently operated drums—a 10 kg main drum and two 0.5 kg smaller drums—allow different loads to be washed separately at the same time. Everyday clothing, baby garments, socks and underwear can be handled without waiting for one cycle to finish before starting another.

Independent water inlets and Auto Dose systems, Foam & Flow DualSpray technology and low-noise performance support the same objective: making categorized laundry care easier to integrate into daily routines.

For floor care, the AT8 Ultra addresses another set of frequent cleaning tasks. Its technologies include Easy Foam cleaning, 60°C hot water on demand, a mechanical arm for improved water pickup, anti-tangle technology, and automated roller cleaning and drying. Each targets a practical issue, whether it is a stubborn stain, residual water or hair wrapped around the roller.

Together, Omni Trio and AT8 Ultra demonstrate how “Zoned Care, Omni Clean” extends beyond individual product features. Different cleaning tasks call for different solutions, and Midea FFC is applying its experience across laundry care and floor cleaning to address these needs with greater precision.

From European Needs to Global Development

IFA 2026 also provided Midea with an opportunity to observe how these innovations respond to expectations in the European market, where quieter operation, efficiency, flexibility and ease of use remain key considerations for home appliances.

These local insights also contribute into Midea FFC’s global product development. Learnings from different markets help shape technologies that can be adapted to diverse homes, daily routines and cleaning habits.

For the home-care category, the next stage of innovation is not simply adding more functions. It is about enabling appliances to better understand and handling specific household tasks, with greater automation and less effort from the user. For Midea FFC, the response at IFA 2026 offers a valuable reference point as the company continues to develop home-care technologies for markets around the world.

Hashtag: #Midea #OmniTrio #AT8Ultra

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ABOUT MIDEA & MIDEA GROUP

Midea is a global technology company specializing in smart home appliances, climate solutions and floor-care technologies, with a focus on user-centric design, energy efficiency and sustainable innovation.