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Tuesday 21 July 2026
EQX Flow: Using AI to generate videos for viral communication
Communication – for whatever purpose, be it trying to persuade the electorate to vote for you, to convince your audience to buy whatever product you're selling, to manage client relationships, or simply to become famous online through creating engagement – is, at its heart, an exercise in storytelling. In today's visual-first world plagued with short attention spans and what can seem like an infinite number of e-mails and ads diverting our concentration, being able to fashion compelling video-based stories is increasingly crucial to successful communication. Attempts to automate communication can also seem generic and devoid of empathy and personalisation, consigning them to failure.EQX Lab and its product, EQX Flow, aim to use artificial intelligence to enable the masses to successfully grab others' attention. By inputting a very simple text prompt, users will be able to generate videos that have the potential to go viral. Corporate sales teams will also be able to automate the creation of personalised, cinema-quality videos for client retention purposes.EQX Lab is the brainchild of Benjamin Cheung. He studied computer animation at the Savannah College of Art and Design in the state of Georgia and then moved to Hollywood, where he worked for many of the major animation studios – Square, Disney, DreamWorks, Sony, and Lucasfilm – for roughly 15 years. He worked on Square's Final Fantasy: The Spirits Within, which came out in 2001 and was the world's first photorealistic computer-animated film (where the animated images appear as real-to-life as possible); and when he was at Sony Imageworks, on 2007's Beowulf.But Cheung always knew that he wanted to return to Asia, and so he moved to Taiwan in 2010 to work for an animation company that counted some of his former employers as major clients. He was then poached by a cloud-computing company in China whose president at the time was Taiwanese. Cheung stayed with this company, which specialised in rendering (using a computer to generate [usually 3-D] images) for almost seven years. During this time, he grew the company’s staff count by roughly seven times and its revenue by a factor of 30.Cheung had been the technical director for most of his projects in Hollywood – he was constantly using new tools and had to develop their back-end integration himself. This gave him enough confidence in his technical abilities to launch EQX Lab. He realised that even though there were already plenty of AI video-generation models, they all required a detailed prompt and only generated a somewhat passable video.Instead, what if you could make a professional-quality video with just a simple click, or a single word, or a short sentence? That's what EQX Flow aims to do.The tool is powered by the company's NEXES Engine, an AI pipeline that, from a single piece of user input, generates prompts, writes a script, composes a storyboard, and finally outputs a video. Chain-of-thought reasoning is used to come up with an emotional arc and narrative to the story. The system handles everything internally, so that the user doesn't need any technical knowledge to produce a cinematic result. Moreover, the engine creates five stories and, again using AI, measures how gripping they will be, choosing the best one to increase the chances of the chosen story going viral. (The engine pays particular attention to optimising the first three seconds of the clip, as these are the seconds that decide whether users continue watching or not.)In the current prototype, users input a story idea (something as simple as "play tennis"), and then specify from a list of options the gender of the protagonist; the type of video (e.g., a sports/fitness video); its niche (e.g., a glow-up video); the length of the clip; the type of person that the creator himself/herself is (e.g., a no-nonsense expert); and the 'look' of the clip (e.g., commercial realism, cinematic realism, cyberpunk, vintage film, or anime). Cheung intends to add a 'director's cut' option in a later incarnation of the story engine, where users will be able to emulate, for example, Christopher Nolan's aesthetic.EQX Flow will have two modes: fast and professional. The latter will be more sophisticated and, as a result, also more expensive (in his current prototype, it is about 2.5 times as expensive as the fast model). A tennis ball hitting a player in the face would look passably realistic in the professional-mode video; the fast mode would instead produce stylised visuals in a fraction of the time. Cheung says that directors often prefer the fast mode because it can produce unexpected scenes that they consider to be spontaneous.The tool is also modular: users will be able to stop after each stage (e.g., script generation), tweak things, and then move onto the next stage. Directors who already have a script and storyboard might not need the story engine at all – instead, they will only use EQX Flow’s back end to generate the shots and make the actual video. EQX Flow currently uses Google's generative AI models. This does not allow for the creation of violent, graphic, or adult material, a limitation that is in line with EQX Flow's business model and vision. They are also developing a model-agnostic pipeline, and plan to integrate additional leading AI video models to expand their creative possibilities and to reduce platform dependency.The company's Face-Lock technology can also incorporate photos that users upload of themselves or their desired characters into the videos.If non-specialists can now produce videos, should directors be worried about the future of their profession? Cheung doesn't think so. He says that average directors who don't learn how to use AI tools and don't improve the quality of their work might very well be replaced – but a good director can't be replaced by AI because directing is an art form and good films are unique products that cannot simply be reassembled from pre-existing films. Although Cheung is appreciative of the award, he is aware that he needs more than just the money it brings to fully launch EQX Flow. He is drawing on his network to expand his core technical team, growing his corporate presence in Taiwan, and actively seeking venture capital investors. In particular, he would like to raise three years of funding for research and development, which he will carry out in Taiwan. Cheung says that Taiwan provides a stable environment for his company, with a robust legal framework for intellectual property rights, top-tier engineering talent, and unfettered access to services such as Google.But despite its physical presence in Taiwan, Cheung is focussed on the North American market. Hollywood has the most advanced technology and the most resources for storytelling; Google works best in English; and the story engine has also been developed in English.The Best AI Awards celebrate global excellence in artificial intelligence and IC design, welcoming submissions from innovative companies and brilliant student teams. Following the success of the 2026 edition—advised by the MOEA, organized by DoIT, and executed by TCA—the prestigious competition is officially transitioning into an annual tradition.Offering substantial grand prizes and unmatched industry exposure, the countdown to Best AI Awards 2027 has already begun. Details on the next submission cycle, prize tiers, and eligibility rules will be released soon. Connect with us on LinkedIn for the latest official updates and application alerts.
Monday 20 July 2026
PGC Boosts COT Model, Integrates TSMC Ecosystem for ASIC Growth
As artificial intelligence (AI), high-performance computing (HPC), high-speed networking, and edge computing applications continue to expand rapidly, global demand for custom ASIC solutions is rising at an unprecedented pace. Faced with the escalating design complexity and development costs associated with advanced process nodes at 6/5/4/3nm, balancing time-to-market, cost efficiency, and production quality has become a critical challenge for IC design companies and system vendors worldwide.PGC (TPEx: 8227), with over 35 years of expertise in ASIC design services, is a member of the TSMC Design Center Alliance (DCA) and a Synopsys IP OEM Partner. With a track record of more than 1,500 tape-out projects and over 100 tape-outs completed annually, PGC delivers comprehensive capabilities spanning advanced-node design, APR (Automatic Place and Route), back-end design services and tape-out foundry services, and volume production ramp. In response to growing market demand for advanced-node ASIC development, PGC announces the further enhancement of its Customer-Owned Tooling (COT) business model, integrating ASIC design services, IP resources, and semiconductor supply chain ecosystems to help customers shorten chip development cycles, accelerate tape-out, and rapidly secure engineering samples and production capacity.COT Business Model: Balancing Design Ownership with Development EfficiencyThe COT business model enables customers to retain ownership of critical design assets — including IP, EDA tool licenses, and design data — preserving their core intellectual property and technical autonomy while leveraging PGC's professional ASIC design team and proven design flows to jointly complete chip development. Compared to traditional turnkey models, COT effectively reduces long-term NRE (Non-Recurring Engineering) investment, eliminates vendor lock-in, and enhances flexibility for product iteration, multi-project development, and cross-generation platform continuity.In practice, customers adopting the COT model have achieved development cycle reductions of over one month, along with long-term NRE cost savings of more than 10%, giving them greater autonomy and strategic flexibility in product planning and technology roadmap execution.Synopsys IP OEM Partnership: Lowering IP Licensing Barriers and Accelerating DevelopmentAs a Synopsys IP OEM Partner, PGC provides customers with comprehensive Synopsys IP licensing and integration services. Customers can flexibly incorporate market-proven, high-quality IP based on project requirements, simplifying licensing processes, lowering upfront investment thresholds, and accelerating IP integration and verification through PGC's expertise — further shortening ASIC development cycles and time-to-market.ASE Packaging and Test Integration: Bridging Design to Volume ProductionIn the area of packaging and test, PGC has established a close collaboration with ASE Group, integrating advanced packaging and test resources to provide customers with comprehensive production support from wafer to finished product. This collaboration covers BGA, Flip Chip, and Wire Bond packaging and full test services, helping customers accelerate production ramp while ensuring shipping quality and reliability.One-Stop Solution: End-to-End Support from Design to Mass ProductionBeyond ASIC design services, PGC offers a diverse range of prototyping options, including TSMC CyberShuttle (suited for early-stage design verification, leveraging multi-project wafer sharing to reduce prototyping costs) and VIS (Vanguard International Semiconductor) MPW (suited for specialty process or mature node requirements), enabling customers to complete engineering sample verification with maximum flexibility.PGC delivers a comprehensive one-stop solution encompassing ASIC design, IP integration, APR, DFT, tape-out, prototype verification, packaging and test (OSAT), and volume production ramp,complemented by professional back-end design services  and complete tape-out foundry services, helping customers rapidly obtain engineering samples, complete product validation, and seamlessly transition to mass production, significantly compressing time-to-market.PGC CEO Fred Lai stated: "In a market environment where AI and HPC applications continue to drive demand for advanced-node solutions, customers need more than a design service provider — they need a comprehensive partner capable of integrating IP, design, prototyping, and volume production. By enhancing our COT business model and deepening our three-way ecosystem collaboration with TSMC, Synopsys, and ASE, our goal is to help customers reduce their ASIC development cycles by more than 10%, bringing innovative products to market faster."Looking ahead, as demand for AI inference chips, HPC accelerators, and high-speed networking ASICs continues to grow, PGC will continue to expand its advanced-node service capabilities and further extend its customer reach into the US market, empowering global customers to seize opportunities in the advanced-node semiconductor landscape.PGC Boosts COT Model, Integrates TSMC Ecosystem for ASIC Growth. Credit: PGC
Wednesday 15 July 2026
Chunghwa Telecom accelerates next-Gen AIDC deployment to boost AI compute
The data center industry is undergoing its largest structural transformation in the past decade due to the rapid development of generative AI. As AI models drive growing demand for GPUs, high-speed connectivity, and high-density computing, data center requirements are evolving beyond traditional colocation services to encompass comprehensive upgrades in power supply, cooling, networking, and overall infrastructure architecture. At the recent DIGITIMES 2026 Enterprise Data Center Forum, Chunghwa Telecom Senior Engineer Hsueh Jen-Hao presented "Meeting the AI Challenge: The Evolution of Data Center Requirements and Infrastructure Upgrade Strategies," outlining Chunghwa Telecom's key strategies for responding to the AIDC (AI Data Center) trend and helping enterprises plan their AI computing capacity. Hsueh Jen-Hao noted that power demand per rack has surged from the traditional 2 kW to 5 kW range to 100 kW and even 200 kW. This underscores that the AI era is driving not merely an upgrade of data center equipment, but a paradigm shift across data center design, cooling architecture, energy management, and cross-border network connectivity. AI Servers Drive Higher AIDC Service StandardsHsueh Jen-Hao described AIDC as a "five-star hotel," illustrating the fundamental transformation in the nature of data center services. As AI servers are high-value, power-intensive, and highly sensitive to environmental conditions, data centers must not only operate around the clock without interruption, but also maintain stable temperature and humidity levels, power supply, and network quality, while adjusting environmental conditions in accordance with customers' SLA requirements.To meet the operating environment required by AI servers, Chunghwa Telecom is also upgrading the infrastructure of its data centers. Hsueh Jen-Hao noted that with a single rack often weighing more than 1,250 kilograms, data center floor loading requirements have increased significantly from 500 kg/m2 to 2,000-2,500 kg/m2. Structural specifications are now approaching those of heavy industrial facilities, redefining the conventional concept of an IT data center. Furthermore, the rapid rise in rack power consumption has pushed cooling requirements beyond the limits of traditional air-cooling systems. From Air to Liquid Cooling: Chunghwa Telecom Delivers Customized SolutionsAI computing has driven a dramatic increase in rack power density, from 30 kW-132 kW for NVIDIA H100 clusters to 140 kW per rack for the liquid-cooled GB200 NVL72 architecture. In response to this trend, traditional downflow air-conditioning systems and fan-wall cooling systems, which can support only up to approximately 20 kW, are gradually becoming unable to meet the cooling requirements of next-generation servers.To address the surge in cooling demand driven by AI computing, Chunghwa Telecom is actively introducing liquid-cooling technologies and tailoring solutions to individual customer requirements. From facility planning and design to project management, Chunghwa Telecom offers one-stop services to deliver the essential infrastructure needed for high-density AI computing, including cooling systems, power distribution, and power backup mechanisms. Through flexible modular designs, the data centers can be expanded alongside customers' business growth, satisfying the requirements for large-scale computing and data processing. Hsueh Jen-Hao noted that driven by both the thermal demands of AI servers and international regulations incorporating data center energy performance, liquid cooling solutions are gradually becoming a standard configuration for AIDCs. AIDC Ecosystem Expansion: Green Energy, All-Photonics Networks, and Submarine CablesIn response to the AI wave and the growing adoption of innovative applications, Chunghwa Telecom is not only enhancing cooling technologies within its data centers, but is also pursuing a comprehensive strategy spanning energy, networking, and submarine cable infrastructure. First, Chunghwa Telecom launched its Green Energy AIDC initiative in 2020. As of 2025, approximately 40% of the electricity consumed by its data centers came from renewable energy sources. The company aims to achieve its sustainability goal of powering data centers with 100% renewable electricity by 2030. Second, as cross-regional collaboration and data exchange continue to expand rapidly, high-bandwidth, low-latency connectivity has evolved from a competitive advantage into a fundamental requirement for data centers. To support the development and advancement of internet technologies, Chunghwa Telecom is promoting reference architectures, frameworks, and specifications for next-generation ICT infrastructure centered on all-photonics networks (APN), meeting the increasingly stringent requirements of innovative applications and AI computing for power efficiency, bandwidth, and latency. In addition, Chunghwa Telecom is Taiwan's first and currently only telecommunications operator to serve as a board member of the IOWN Global Forum.Hsueh Jen-Hao noted that the attractiveness of a data center location is directly proportional to the availability of local submarine cable resources. The continued growth of data centers in Hong Kong and Singapore, for example, is largely attributable to their roles as major international submarine cable hubs in Asia. To this end, Chunghwa Telecom has continued to invest in Taiwan's submarine cable infrastructure. On the international front, in addition to the completed SJC2 submarine cable system, the APRICOT system is also scheduled for completion in 2027. To enhance domestic network resilience, the Taiwan-Penghu-Kinmen-Matsu No. 4 submarine cable is expected to be completed in 2026. As these submarine cable projects come online, they will not only significantly strengthen Taiwan's international connectivity, but also provide a solid infrastructure foundation for cross-border AI computing and the deployment of international data centers.From floor loading capacity and liquid-cooling technologies to renewable energy initiatives, all-photonics networks, and submarine cables, Chunghwa Telecom's data center investments in recent years may appear to span different domains. However, they are all guided by the same strategic objective: systematically strengthening data center infrastructure to support enterprise AI adoption, ensure uninterrupted operations, and enhance Taiwan's competitiveness in the AI era.