HEFEI, China, Sept. 17, 2026 /PRNewswire/ — Sungrow, a globally leading PV inverter and energy storage system provider, recently has achieved a world first by controllably reproducing and successfully suppressing wideband oscillation at a real-world 500 MW solar-plus-storage plant in Qinghai, China. The field test marks a major step toward addressing one of the long-standing challenges facing renewable power systems as renewable penetration continues to increase worldwide.
As renewable penetration rises worldwide, wideband oscillation has become a major challenge, with severe cases potentially causing renewable plants to disconnect from the grid or shut down. In 2014, the BorWin1 offshore HVDC project in Germany experienced oscillations at 250–350 Hz, which damaged filter capacitors on the offshore converter platform and led to a shutdown lasting approximately six months, causing substantial economic losses to the local utility. In 2019, the Hornsea offshore wind farm in the UK experienced widespread disconnection due to subsynchronous oscillation, resulting in a loss of approximately 3.2% of the system load and affecting around one million users. Past incidents have demonstrated the significant impact of oscillation-related events.
However, the complex and unpredictable nature of the phenomenon has made it difficult to safely and controllably reproduce oscillations at real-world plants and validate effective suppression methods in the field. As a result, research has largely remained at the theoretical and simulation stage, with limited systematic validation in actual power plant environments.
To bridge this gap, Sungrow and its industry partners conducted a field test at the plant, using Sungrow PV inverters deployed across the site.
Controlled Reproduction of Wideband Oscillation
The test established weak-grid conditions and identified three key contributing factors—power output, system short-circuit ratio (SCR), and control parameters—before successfully achieving controlled reproduction of a localized system oscillation.
Rapid Suppression of Wideband Oscillation
The field test evaluated the oscillation suppression performance of Sungrow’s PV inverters under different grid conditions. Leveraging Sungrow’s patented grid-strength adaptation technology, the inverters identified grid strength within 40 milliseconds, adjusted their control strategies accordingly, and rapidly stabilized voltage and frequency.
The test also validated the effectiveness of grid-forming control in suppressing wideband oscillation. Sungrow’s grid-forming control strategy enables stable operation across a wide SCR range of 1~40 and effectively mitigates transient overvoltage.
By successfully reproducing and suppressing wideband oscillation at a real-world 500MW plant, the field test marks a critical step in moving wideband oscillation suppression from the laboratory into engineering practice, with the potential to improve the stability of renewable energy plants under extremely weak grid conditions, prevent grid disconnections caused by oscillations, unlock greater power export capacity for plants connected to weak grids, and reduce generation losses.
“For renewable energy to become a truly stable and reliable source of power, it is essential to develop autonomous fault self-healing and grid-support capabilities.” Pan Nian’an, Chief Engineer and Chief Expert for Utility PV BU at Sungrow, said Sungrow will continue to advance research and development in grid technologies, focusing on key innovations including wideband oscillation suppression, grid-forming control, and multi-energy coordination. These efforts aim to support the stable grid integration and efficient utilization of renewable energy while strengthening the technical foundation for a secure and stable energy transition and next-generation power systems.
22 researchers honored for Nobel-class discoveries, including pioneers of GLP-1 medicines and other world-changing advances
LONDON, Sept. 17, 2026 /PRNewswire/ — Clarivate Plc (NYSE: CLVT), a leading global provider of transformative intelligence, today announced the Citation Laureates 2026, a distinguished group of 22 researchers whose work is of Nobel class. Selected by experts at the Institute for Scientific Information (ISI) at Clarivate, these individuals have made pioneering contributions that continue to shape science and society.
Since the program’s inception, 89 Citation Laureates have gone on to receive Nobel Prizes, often years after their initial recognition by Clarivate.
Bar Veinstein, President, Academia & Government at Clarivate, said: “For more than two decades, Citation Laureates has been among the world’s most closely watched data-led indicators of exceptional research influence. The Citation Laureates program recognizes researchers whose discoveries demonstrate the extraordinary value of fundamental research. Many of the advances we honor this year, from GLP-1 medicines to precision gene editing and optical medical imaging, began as scientific questions explored decades ago. Today, they are improving lives, informing policy and helping shape the future. We are proud to recognize these researchers and the lasting impact of their work.”
Citation Laureates’ foundational research papers rank among the most highly cited in their fields, reflecting exceptional influence across disciplines and borders. This year’s Laureates have advanced knowledge in fields of profound societal importance, including:
Physiology or Medicine: GLP-1 biology and obesity treatment, optical imaging, and immune system research
Physics: Advanced OLED displays, energy-efficient computing materials, and quantum electronics
Chemistry: Self-assembled nanomaterials, biological electron transfer, and precision gene editing
Economics: The digital economy, monetary policy and central banking, and organizational innovation and economic dynamism
The Citation Laureates program helps researchers, institutions, funders and policymakers identify highly influential research, while offering science media, Nobel observers and the wider public insight into discoveries shaping the future.
Among this year’s most visible discoveries are the scientific advances underpinning GLP-1 medicines, recognizing Daniel J. Drucker, Jens Juul Holst and Svetlana Mojsov. Their foundational discoveries helped enable GLP-1 receptor agonist medicines, which have transformed the treatment of diabetes and obesity for millions of people worldwide and continue to demonstrate benefits across a growing range of health conditions.
Daniel J. Drucker, Senior Investigator at Sinai Health’s Lunenfeld-Tanenbaum Research Institute, and University Professor, Department of Medicine Division of Endocrinology, the Banting and Best Diabetes Centre-Novo Nordisk Chair in Incretin Biology, University of Toronto, said: “It is an honor to be recognized as a Citation Laureate. The story of GLP-1 medicines demonstrates the power of curiosity-driven research. What began as a quest to understand how gut hormones regulate metabolism has led to therapies that are improving the lives of millions of people worldwide. It is a reminder that fundamental science can have impacts far beyond what researchers initially imagine.”
The 2026 Laureates are affiliated with leading academic institutions in seven countries/regions, reflecting the global nature of Nobel-class research. Sixteen are based in the United States, and one each in Canada, Denmark, Israel, Japan, Mainland China, and Switzerland.
Since 2002, ISI analysts have used publication and citation data from the Web of Science Core Collection to identify researchers whose work is of Nobel class. Out of more than 67 million articles and proceedings indexed since 1970, less than 0.02% have been cited more than 2,000 times. Citation Laureates are selected from this elite group through rigorous citation analysis and expert insight.
The Citation Laureates 2026 are:
Physiology or Medicine
Daniel J. Drucker, Senior Investigator at Sinai Health’s Lunenfeld-Tanenbaum Research Institute; University Professor, Department of Medicine Division of Endocrinology, the Banting and Best Diabetes Centre-Novo Nordisk Chair in Incretin Biology, University of Toronto, Toronto, Ontario, Canada
Jens Juul Holst, Professor of Medical Physiology, Department of Biomedical Sciences, and Senior Group Leader, Novo Nordisk Foundation Center for Basic Metabolic Research, The Panum Institute, University of Copenhagen, Copenhagen, Denmark
Svetlana Mojsov, Lulu Chow Wang and Robin Chemers Neustein Research Professor, Rockefeller University, New York, New York, United States
“for identification and characterization of Glucagon-Like Peptide-1 (GLP-1) and studies of its biological activity”
James G. Fujimoto, Elihu Thomson Professor of Electrical Engineering, Research Laboratory of Electronics and Department Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, United States
David Huang, Director of Research & Associate Director, Casey Eye Institute; Wold Family Endowed Chair in Ophthalmic Imaging; Professor of Ophthalmology & Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, United States; Director, Center for Ophthalmic Optics & Lasers (COOL Lab)
Eric A. Swanson, Affiliate of the Research Laboratory of Electronics, MIT, Cambridge, Massachusetts, United States
“for the development of optical coherence tomography, a new imaging modality in medicine, biomedical research, and other applications”
Timothy A. Springer, Latham Family Professor, Boston Children’s Hospital / Harvard Medical School, Boston, Massachusetts, United States
“for identifying key adhesion receptors in the immune system”
Physics
Chihaya Adachi, Distinguished Professor and Director of the Center for Organic Photonics and Electronics Research (OPERA), Kyushu University, Fukuoka, Japan
Stephen R. Forrest, Peter A. Franken Distinguished University Professor and Paul G. Goebel Professor of Engineering, University of Michigan, Ann Arbor, Michigan, United States
Mark E. Thompson, University Professor of Chemistry and Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California, United States
“for pioneering research on phosphorescent organic light-emitting diodes (PHOLEDs) and thermally activated delayed fluorescence (TADF), enabling ultrahigh-efficiency organic light-emitting diodes”
Nicola A. Spaldin, Professor, Department of Materials, ETH Zurich, Zurich, Switzerland
“for fundamental theoretical developments leading to the establishment of room- temperature magnetoelectric multiferroics, which are enabling new energy-efficient device paradigms”
Qikun Xue, Member of the Chinese Academy of Sciences, President of Southern University of Science and Technology, Professor of Tsinghua University, Beijing, Mainland China
“for experimental observation of the quantum anomalous Hall Effect”
Chemistry
David L. Allara, Distinguished Professor Emeritus of Chemistry and Materials and Engineering, Materials Research Institute, Pennsylvania State University, State College, Pennsylvania, United States
Ralph G. Nuzzo, G. L. Clark Research Professor of Analytical Chemistry, and Research Professor of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Jacob Sagiv, Professor, Molecular Chemistry and Materials Science Department, Weizmann Institute of Science, Rehovot, Israel
“for development of self-assembled monolayers (SAMS)”
Harry B. Gray, Arnold O. Beckman Professor of Chemistry, California Institute of Technology, Pasadena, California, United States
Jay R. Winkler, Member of the Beckman Institute and Faculty Associate in Chemistry, California Institute of Technology, Pasadena, California, United States
“for advancing understanding of long-range electron transfer in proteins”
David R. Liu, Thomas Dudley Cabot Professor of the Natural Sciences, Harvard University, Cambridge, Massachusetts, United States; Richard Merkin Professor, Broad Institute; Investigator, Howard Hughes Medical Institute
“for developing base editing and prime editing, precision gene editing technologies that directly edit DNA in living systems, revolutionizing the life sciences and enabling life- saving programmable medicines”
Economics
Susan C. Athey, The Economics of Technology Professor at Stanford Graduate School of Business, Stanford University, Stanford, California, United States
Hal R. Varian, Formerly Chief Economist, Google, and Professor Emeritus at the School of Information, Haas School of Business, and the Department of Economics, University of California Berkeley, Berkeley, California, United States
“for pioneering analysis of the economics of information technology”
Michael D. Woodford, John Bates Clark Professor of Political Economy, Columbia University, New York, New York, United States
“for contributions to the theory and practice of monetary policy”
Sidney G. Winter, Deloitte and Touche Professor Emeritus of Management, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania, United States
“for studies of economic dynamism and organizational behavior inspired by evolutionary theory”
While the Citation Laureates program does not aim to predict Nobel Prize recipients in a specific year, it highlights researchers whose work is of Nobel class and merits global recognition.
David Pendlebury, Head of Research Analysis at the Institute for Scientific Information at Clarivate, is available for interviews.
The 2026 Nobel Prize announcements will take place from 5-12 October and will be streamed live at www.nobelprize.org.
About Clarivate Clarivate is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com
Media contact:
Rebecca Krahenbuhl, Senior Manager, External Communications, Academia & Government
AMSTERDAM, Sept. 17, 2026 /PRNewswire/ — OCI Global N.V. (“OCI” or the “Company”) (Euronext: OCI) confirms that on 16 September 2026 it received from Oceanwood Capital Management LLP the attached open letter, written on behalf of a group of three shareholders in the Company. OCI is publishing the letter for information purposes only, without comment or endorsement.
Annex – Open letter to the Board of OCI Global N.V., 16 September 2026
HONG KONG, Sept. 17, 2026 /PRNewswire/ — D-Robotics, a leading provider of robotics development infrastructure, today announced the closing of a US$400 million Series C funding round. The round attracted strategic investment from a leading global internet company, alongside with top-tier investment institutions, and continued follow-on investments from existing shareholders.
The funding aims to enhance Sunrise™ Chip product portfolio across all computing levels, and to develop a software platform spanning the entire robot development chain. Together, they form an integrated hardware-software infrastructure for AI robots, supporting every development scenario, from mature robot categories to general-purpose humanoid robots.
In the first half of 2026, D-Robotics’ revenue grew several times year-over-year, cumulative shipments of the Sunrise™ series chips exceeded 8 million units, its embodied AI business entered the mass production stage, and its hardware-software integrated AI infrastructure completed large-scale validation.
The Sunrise™ S600, the company’s embodied AI computing chip launched in November 2025, has been adopted by more than 20 leading embodied AI customers within six months — including TARS, Spirit AI, X Square Robot, UBTECH, PaXini Tech, Astribot, FOURIER and Booster Robotics. These partners span humanoid robots, industrial wheeled robots, flexible consumer electronics manufacturing, embodied foundation models and omni-modal perception with the majority already in mass production.
The newly upgraded D-Robotics Gravity Program (DGP) provides robotics innovators with end-to-end support, spanning product development and supply-chain selection to GTM strategy and fundraising roadshows. To date, the program has backed more than 500 robotics innovators across 10 frontier categories — including open-source humanoids, AI sports coaching, embodied AI models, AI imaging and home companion robots — with multiple products becoming breakout successes now shipping at scale.
Today, more than 500 universities and over 100,000 developers from more than 20 countries have created hundreds of types of intelligent robots based on the D-Robotics’ platform, serving millions of users worldwide.
About D-Robotics
D-Robotics is a leading provider of robotics development infrastructure, spanning high-performance computing platforms, operating systems, and applications. Powered by its Sunrise™ chips and RDK™ robotics developer kits, its platforms drive a broad range of AI robots, from humanoids and quadrupeds to home-service, companion, and logistics AMR robots. To date, more than 500 universities and over 100,000 developers across 20+ countries have created hundreds of AI robot on the D-Robotics’ platform, serving millions of users worldwide. Learn more at en.d-robotics.cc
*Effective TOPS with 1/2 Sparsity, TPP(Total Processing Performance)<4800
STOCKHOLM, Sept. 17, 2026 /PRNewswire/ — The members of the Nomination Committee for AB Electrolux Annual General Meeting in 2027 have been appointed.
In accordance with decision by the Annual General Meeting, AB Electrolux Nomination Committee shall consist of five members. The Nomination Committee shall include members selected by each of the four largest shareholders in terms of voting rights that wish to participate in the committee, together with the Chair of the Board of AB Electrolux. The members of the Nomination Committee have now been appointed based on the ownership structure as of August 31, 2026.
The Nomination Committee consists of:
Christian Cederholm, Investor AB, chair
Martin Wallin, Lannebo Kapitalförvaltning
Alexandra Frenander, Folksam
Pia Gisgård, Swedbank Robur Fonder
Torbjörn Lööf, Chair of the Board of AB Electrolux.
The Nomination Committee will prepare proposals for the Annual General Meeting in 2027 regarding Chairman of the Annual General Meeting, Board members, Chairman of the Board, remuneration for Board members, Auditor, Auditor’s fees and, to the extent deemed necessary, proposal regarding amendments of the current instruction for the Nomination Committee.
The Annual General Meeting will be held on March 24, 2027, in Stockholm, Sweden.
Shareholders who wish to submit proposals to the Nomination Committee should send an email to [email protected].
CONTACT:
For further information, please contact Electrolux Press Hotline, +46 8 657 65 07.
The number of brands generating at least US$1 million in GMV increased by nearly 10% compared with 6.6, alongside growth in brands reaching US$100,000 and US$500,000 milestones
US$100+ baskets accounted for almost 60% of total GMV during the campaign, reflecting stronger demand for higher-value purchases
LazMall, affiliate-led discovery and AI-guided shopping continued to support brands across the consumer journey, from discovery to conversion
SINGAPORE, Sept. 17, 2026 /PRNewswire/ — Lazada, a leading eCommerce platform in Southeast Asia, saw more brands reach significant sales milestones during its 9.9 Mega Brands Sale, with the number of brands joining its “Million-Dollar Club” – brands generating at least US$1 million in GMV – increasing by nearly 10% compared with 6.6.
The growth of Lazada’s Million-Dollar Club highlights the platform’s growing role in helping brands move beyond campaign participation to achieve meaningful scale, as consumers across Southeast Asia increasingly make higher-value purchases through trusted brand channels and more relevant shopping journeys.
During the campaign, US$100+ orders contributed almost 60% of total GMV, Singapore led the region in higher-value shopping, with around three-quarters of GMV coming from US$100+ orders, followed by Thailand and Malaysia both at 60%. This is in line with an uplift of nearly 50% in overall platform average order value (AOV) compared with the same period last year.
Consumer confidence in trusted brand channels drives LazMall and brand growth
LazMall remains a key driver of trusted brand shopping during 9.9, reflecting continued consumer preference for official stores, authentic products and reliable shopping experiences. LazMall GMV grew by more than 7 times compared with non-campaign periods, with 1 in 2 orders (49%) coming from the trusted shopping channel across the region.
In Singapore, 78% of orders came from LazMall, the highest among six markets, while Vietnam followed closely at 76%. LazMall also accounted for 49% of orders in the Philippines, 46% in Malaysia and 45% in Thailand.
This strong LazMall contribution reinforces the role of official brand stores in helping consumers shop with greater confidence, particularly as shoppers become more selective and intentional about where and how they spend.
At the same time, the 9.9 Mega Brands Sale helped more brands achieve significant growth milestones. Compared with 6.6 2026, the number of brands generating at least US$1M in GMV increased by 8.0%, alongside growth of brands hitting the milestone for US$100,000 and US$500,000. This reflects the strength of Lazada’s brand ecosystem and the campaign’s role in helping brands unlock higher-value growth.
Affiliates strengthen product discovery across the shopping journey
Beyond official brand channels, affiliates played a larger role in helping shoppers discover products and move from inspiration to purchase. Across Southeast Asia, affiliate GMV contribution increased more than 15% compared with 6.6, while affiliates accounted for almost 30% of total SEA GMV, equivalent to more than 1 in 4 GMV dollars coming through affiliate channels.
By deploying nearly 4 million high-commission products to fuel creator promotion, Lazada saw an uplift of more than 7 times in affiliate-driven GMV compared with non-campaign periods.
The results highlight the growing influence of creators, partners and content-led recommendations in shaping how consumers discover products, evaluate options and make purchase decisions during major campaigns.
AI-guided shopping supports more informed, higher-value purchases
Lazada’s AI-powered shopping journeys also gained traction during the campaign, as shoppers used LazzieChat to navigate product discovery and decision-making more efficiently.
During the campaign, AI-guided interactions in LazzieChat generated nearly US$2.2 million in GMV, representing a 38% uplift compared with 6.6 2026.
AI-engaged shoppers also spent 2.1 times more per order on average, compared with non-AI shoppers. This suggests that AI-guided journeys are engaging shoppers with stronger purchase intent and supporting higher-value shopping decisions.
“Lazada’s 9.9 Mega Brands Sale shows that shoppers across Southeast Asia are increasingly making purchase decisions based on trust, relevance and confidence. LazMall continues to be a key destination for consumers seeking authentic products from official brand stores, while affiliates and AI-guided journeys are helping brands reach shoppers in more personalized and effective ways. For brands, this creates a stronger pathway to grow with us, from discovery and engagement to conversion,” said a Lazada spokesperson.
The campaign performance highlights the growing importance of trusted brand ecosystems in Southeast Asia’s digital commerce landscape. As shoppers move toward more intentional and higher-value purchases, Lazada continues to strengthen the channels that help brands grow: from official brand stores on LazMall to affiliate-led product discovery and AI-guided shopping journeys. Together, these touchpoints create a more trusted, relevant and efficient path for brands to engage consumers and scale across the region.
About Lazada Group
Lazada Group is Southeast Asia’s pioneer eCommerce platform, advancing commerce through technology across Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam. Lazada connects shoppers to a trusted ecosystem of more than 170,000 global and local brands, sellers and partners, offering a diverse product assortment and engaging shopping experiences. Its technology, payments and homegrown logistics capabilities help make online shopping and selling more seamless, secure and accessible, supporting businesses of all sizes to grow in the region’s digital economy.
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.
A Strong Debut on Two International AI Benchmarks
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.
Joint Modeling of Text, Video and Audio
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.
HiDream Completes Series C+ Financing
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.
Availability
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.
Singapore’s 50-year packaging house formulates a bespoke tone close to real human skin — plus a signature couture black — for a leading French luxury beauty maison, colours no standard Pantone reference could reproduce.
SINGAPORE – Media OutReach Newswire – 17 September 2026 – Firstpack, a Singapore-and-Johor packaging manufacturer with more than fifty years and three generations behind its press floor, has developed custom ink colours for a leading French luxury beauty maison that reach beyond the standard Pantone matching system — a true-to-life skin tone for one of the maison’s flagship product lines, and a deep, signature black.
Some colours simply live outside the books. The Pantone system is the global language of print colour, yet a lifelike human skin tone and a truly saturated, dimensional black both sit at the edges of what any standard swatch can specify. For a house of this calibre, where the packaging is part of the product’s promise, matching “close to” a reference was never going to be enough.
Rather than settle for the nearest library match, Firstpack’s colour team formulated each shade from the ground up as a dedicated custom ink. The skin tone was built to read as real skin — warm and natural rather than flat or printed. The black was engineered for depth and richness beyond a standard process or spot black. Each colour was profiled and proofed on X-Rite spectrophotometry and held to a tight Delta-E tolerance across the full run, so every carton left the floor matching its target — sheet after sheet, batch after batch.
“Some colours don’t exist in any book — you have to build them,” said [Joseph Tan, Director], Firstpack. “A skin tone has to look like skin, and a signature black has to have depth you can feel. We formulate the colour until it’s right, then make it repeatable at scale. That’s the difference between printing a colour and engineering one.”
The work draws on a capability Firstpack has invested in for decades: colour that is measured, not guessed. Its six-colour Mitsubishi offset presses, in-line spectrophotometric control, hot-foil finishing and die-cutting let it serve luxury, beauty and F&B brands across Singapore and the region — where the box is the first impression a brand makes, long before a word is read.
The issuer is solely responsible for the content of this announcement.
Firstpack Enterprise Pte Ltd
Firstpack is a Singapore-headquartered packaging manufacturer and supplier producing paper bags, paper boxes and carton boxes for brands across Singapore and Malaysia. Family-run across three generations and more than fifty years, Firstpack operates two six-colour Mitsubishi offset presses with X-Rite colour management, hot-foil finishing and die-cutting under one roof. Learn more at firstpack.com.sg.
TIANJIN, China, Sept. 16, 2026 /PRNewswire/ — The International Organization for Standardization (ISO) has published ISO 21756:2026, the world’s first international standard for single-herb Traditional Chinese Medicine (TCM) formula granules. Titled Traditional Chinese Medicine — Salvia miltiorrhiza Root and Rhizome Aqueous Extract Granules, the standard represents a significant step forward in promoting global quality harmonization of TCM.
Led by Professor Gao Wenyuan from the School of Pharmaceutical Science and Technology at Tianjin University, with Professor Li Xia as a core member, the standard was developed in collaboration with Tasly Pharmaceutical Group and China Resources Sanjiu. Through multiple international seminars and rigorous technical reviews with experts from dozens of countries, the team forged broad global consensus for the standard’s publication.
TCM formula granules represent a modernized innovation of traditional herbal decoctions. They preserve the core TCM principles of syndrome differentiation and personalized treatment while solving preparation and storage challenges. This format aligns with global demands for standardization, making it increasingly accessible and acceptable to international markets.
Salvia miltiorrhiza is a globally recognized herb, with growing international demand for its formula granules. However, the absence of unified production protocols and quality evaluation standards has long hindered the globalization of these products.
ISO 21756:2026 fills this gap by establishing systematic regulations across the product lifecycle—from raw material traceability to finished product testing. The standard introduces quantifiable metrics, including characteristic chromatograms, content assays, and safety limits, providing a unified benchmark for global production. Moreover, it offers a replicable and scalable pathway for developing ISO standards for other single-herb formula granules.
Serving as the core technical support for this standard, Tianjin University was deeply involved in every stage of its development. The university’s team continuously refined the feasibility studies and technical framework, and guided the design of the overall technical architecture and the establishment of testing methodologies. “We also optimized technical clauses in strict accordance with ISO rules and international pharmacopoeial requirements, and led international conference defenses to drive global consensus,” Professor Gao said.
He added that accelerating the implementation of international standards for TCM formula granules not only safeguards international trade but also promotes the global dissemination of TCM.
Looking ahead, the team plans to collaborate with TCM enterprises and international standardization bodies to advance the development of additional international standards, contributing to global public health.
New innovation hub accelerates AI commercialization through research, engineering expertise and global supply chain support
HONG KONG, Sept. 17, 2026 /PRNewswire/ — Avnet (NASDAQ: AVT), a leading global technology distributor and solutions provider, today joined The University of Hong Kong (HKU) in officially opening the Emerging Microelectronics and Ubiquitous Systems Lab (EMUS Lab), a collaborative innovation hub designed to accelerate AI hardware commercialization by connecting research, innovation, engineering expertise and global supply chain capabilities.
Located at the Data Technology Hub in Tseung Kwan O InnoPark, EMUS Lab focuses on next-generation technologies including edge AI, physical AI, robotics, high-performance computing (HPC) and emerging microelectronics. By bringing together academic research, startups and industry, the Lab provides innovators with access to engineering consultation, GPU computing resources, prototyping support, manufacturability assessments and supply chain expertise needed to transform breakthrough ideas into scalable, market-ready products. Through Avnet’s broader ecosystem, including element14, an Avnet company specializing in proof-of-concept development and prototyping, innovators can access the tools, technologies and support needed in the early stages of product development, while leveraging Avnet’s engineering, design chain and global supply chain expertise to accelerate the journey from prototype to production.
As AI moves beyond cloud-based models into intelligent devices, robotics and industrial systems, bringing AI into the physical world increasingly depends not only on advanced AI models, but also on the ability to engineer, manufacture and scale AI-enabled hardware. Industry analysts project strong growth in the adoption of edge AI, physical AI and intelligent autonomous systems over the coming decade¹. With its strong research ecosystem, international connectivity and proximity to the Greater Bay Area manufacturing network, Hong Kong is uniquely positioned to accelerate the commercialization of AI-enabled hardware technologies.
Arthur Chung, Vice President, Sales and Supplier Management, Asia, Avnet, said: “Building a great AI model is only the beginning. Turning AI innovation into a reliable, manufacturable and scalable product remains one of the biggest barriers to commercialization. EMUS Lab was created to help innovators bridge that gap by combining research with engineering expertise, supply chain readiness and market access, enabling them to move faster from prototype to product.”
Prof. Ngai Wong, Associate Professor at the Department of Electrical and Computer Engineering at HKU Faculty of Engineering, and Director of EMUS Lab, said: “EMUS Lab was established to bridge the gap between cutting-edge research and real-world application. By bringing together researchers, students, startups and industry partners, we are creating an environment where research excellence, engineering expertise and industry needs converge to accelerate AI and microelectronics innovation. Together with Avnet, we are helping transform research outcomes into technologies that deliver meaningful societal and economic impact.”
Prior to its official opening, EMUS Lab had already demonstrated measurable impact. Research supported by Avnet-sponsored GPU infrastructure has contributed to publications in Nature family journals and presentations at leading AI conferences including ICLR and ICML, highlighting the Lab’s early research impact.
The opening ceremony brought together representatives from Avnet, HKU and local universities, the broader innovation ecosystem, industry partners and the technology community for keynote presentations, a memorandum of understanding signing ceremony, laboratory tours and technology demonstrations.
Accelerating AI Innovation from Prototype to Product
One of EMUS Lab’s first major industry engagement initiatives is the DfMA Launchpad for AI MMP Programme, a 12-month co-incubation programme that connects EMUS Lab, Avnet and ecosystem stakeholders to support AI startups.
The programme combines Avnet’s engineering and global supply chain expertise with EMUS Lab’s advanced research infrastructure and the startup ecosystem of Hong Kong Science and Technology Parks Corporation (HKSTP) to provide technical mentorship, hardware-software co-design, system validation, manufacturability guidance and industry connections, helping startups move more efficiently from prototype development to scalable production.
The programme has already attracted strong interest from the startup community, with 27 startup teams selected to participate, reflecting growing demand for practical expertise that helps accelerate the path from AI innovation to market deployment.
As AI increasingly shifts from experimentation to large-scale deployment, EMUS Lab provides a collaborative platform where academia, startups and industry partners can accelerate AI hardware innovation across healthcare, robotics, industrial automation, smart living and smart city applications. By combining world-class research, startup innovation, engineering expertise and global supply chain capabilities within a single ecosystem, the Lab helps transform breakthrough ideas into products that can be built, scaled and deployed globally, while strengthening Hong Kong’s position as a leading hub for AI hardware innovation and technology commercialization.
About Avnet
As a leading global technology distributor and solutions provider, Avnet has served customers’ evolving needs for more than a century. Through regional and specialised businesses around the world, we support customers and suppliers at every stage of the product lifecycle. We help companies adapt to change and accelerate the design and supply stages of product development. With a unique viewpoint from the center of the technology supply chain, Avnet is a trusted partner that solves complex design and supply chain issues so customers can realize revenue faster. Learn more about Avnet at www.avnet.com.
About HKU Faculty of Engineering
The Faculty of Engineering is one of the founding Faculties of The University of Hong Kong established in 1912. Since its foundation, the Faculty has kept pace with developments in the engineering world and aims at providing an all-round education for students, equipping graduates not only with knowledge of cutting-edge technology, but also excellent communication and social skills, an innovation mindset, a lifelong learning attitude, professional integrity and international exposure. For more information, visit https://engg.hku.hk.
¹ Source: Deloitte, The State of AI in the Enterprise 2026: The Untapped Edge. Deloitte reports growing adoption of physical AI technologies, with more than half of surveyed organizations already using physical AI and adoption expected to increase significantly over the next two years.
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