Solid State Storage Technology Corporation (SSSTC), a subsidiary of Kioxia Corporation and a leading global SSD provider, is showcasing its enterprise SSDs designed for immersion cooling and engineered for AI-driven data centers, along with a comprehensive portfolio of industrial and enterprise SSD solutions

JMicron Technology Corp., a global leader in high-speed Bridge IC solutions, today announced it will unveil its flagship innovations at COMPUTEX 2026. Building on years of proven expertise in high-speed interface technologies and strong market recognition, JMicron will present a portfolio centered on extreme performance, intelligent backup, and hyperscale expansion, demonstrating its continued momentum in advancing the digital storage ecosystem

Technology news, product launches and show highlights from the event attendees available for download (PDF).

The human hand is an engineering marvel. With up to 27 degrees of freedom, it can perform tasks ranging from heavy lifting to the delicate threading of a needle. Replicating this dexterity in a machine has long been considered the "Holy Grail" of robotics. At the upcoming COMPUTEX 2026, one Canadian startup is set to demonstrate that this goal is finally within reach. Sarcomere Dynamics, founded in 2021, is bridging the gap between mechanical rigidity and human-like finesse by combining sophisticated hardware with what industry experts call "Embodied  AI" where software intelligence is translated into high-performance, real-world  interaction. CEO Harpal Mandaher, a 32-year veteran of the Canadian Armed Forces, discussed the company's journey from a student project to a pioneer in the next generation of robotics. From a Son's Vision to Industrial RealityThe story of Sarcomere Dynamics is a family affair. The company was founded by Harpal's son, Avtar, the current CTO, while he was studying at the University of British Columbia. Initially, the mission was deeply personal: to create an affordable, highly functional prosthetic hand for upper-limb amputees. "The first prototype was sophisticated, with 11 degrees of freedom," Harpal explains. "But it was  too complex for a patient to control easily. However, we noticed immediate interest from industrial players who saw the potential for this hand to automate assembly, sorting, and pick-and-place tasks". Seeing the opportunity to impact both the medical and industrial sectors, Harpal and his wife, Nancy - also a military veteran and retired professional nurse - joined as initial investors and co-founders. Solving the Weight-to-Power PuzzleMost robotic grippers today are simple "pinchers" designed for specific repeating tasks in controlled settings, but not suitable for complex manipulation of objects of different sizes, shapes, textures, or weights. For these high-mix tasks, the human hand is ideal. To create a hand that truly replicates human capabilities, Sarcomere had to overcome significant mechanical hurdles. "Ideally, for every movement, you need a motor," says Harpal. "Juggling 27 motors leads to massive problems such as heat, weight, interference, and movement control".  Their solution, the Artus robotic hand, is a masterclass in compact engineering: 1. Form Factor: the size of an average human male's hand (it is actually modelled off the CTO's hand). 2. Lightweight: Weighing only 1.1 kg to 1.4 kg, the Artus hand can be used on smaller, more cost-effective robotic arms without exhausting their payload capacity. 3. Durability: Rated for millions of cycles in industrial applications. Key structural components are reinforced with aircraft-grade aluminum to handle payloads up to 20 kg. The Move to Embodied  AI and "Artificial Skin"Dexterity is nothing without a sense of touch. Sarcomere is currently working with technology partners like Nanosen (Germany) to integrate a layer of "artificial skin" over the hand. This thin sensor layer allows the robot to feel grip force and detect proximity, adding a critical layer of safety. "If someone touches the back of the robot arm, the machine will know," Harpal notes. "It can pause or react, just as a human would". This technology is paving the way for Teleoperation in hazardous environments. By wearing a haptic glove, a technician in a safe zone can control the robotic hand naturally and intuitively from a distance. Inside the glove are tiny inflating bubbles to provide tactile feedback (sense of touch), allowing the operator to "feel" what the robot is touching - a gamechanger for nuclear decommissioning, bomb disposal, or handling hazardous chemicals. Why Taiwan?As Sarcomere Dynamics eyes global scale, Taiwan sits at the center of their roadmap. Their presence in Taipei for COMPUTEX underscores the island's growing role as the indispensable foundation for the next generation of robotics. Harpal is focused on three key goals, including securing supply chain resilience, exploring the potential to outsource manufacturing and assembly to Taiwan's world-class OEM ecosystem, as well as to find "embodied  AI" experts and local robotic arm manufacturers to create integrated, plug-and-play systems."We haven't lost sight of why this started," Harpal says. "As we harden the technology for industrial use, we're continuing prosthetics development in parallel, so the same advances in dexterity, sensing, and control translate into a more capable and more affordable prosthetic hand.  "

As global manufacturing accelerates its smart-factory transition, computer vision is taking on an increasingly critical role in industrial quality inspection. Canadian AI startup DaoAI, on the strength of its innovative AI vision technology, has secured partnerships with international heavyweights including Siemens and BASF. Co-founder and CTO Xiaochuan Chen explains how DaoAI uses "Feature Cognition Inspection" to solve the high false-call rates and time-consuming programming pain points of traditional Automated Optical Inspection (AOI), and reveals plans to actively pursue deeper partnerships with Taiwanese equipment makers and distributors during COMPUTEX 2026.From Academic Research to Industrial Practice: Bringing AI to the Electronics Manufacturing FloorDaoAI CTO Xiaochuan Chen has been working in AI and vision research in Canada since 2014 - right at the inflection point of deep learning. In 2017, he co-founded DaoAI in Vancouver alongside a partner with a track record of successful entrepreneurship, leading a top-tier AI vision team drawn from University of British and University of Waterloo and focused squarely on industrial automation.Chen sees enormous potential for AI in manufacturing across both North American and Asian markets. DaoAI's technology not only lifts production yield but also protects enterprise data sovereignty through its on-premise data architecture. "We understand that in any digital transformation, the security and ownership of data is a core interest for manufacturers - and that's the foundation our technology is built on," Chen says.Solving the Long Programming Cycles and High False-Call Rates of Traditional AOITraditional AOI algorithms running on PCBA (printed circuit board assembly) inspection lines are notorious for high false-call rates. Chen explains that conventional algorithms rely heavily on color matching or pixel-level comparison - when, for example, a resistor and the board substrate are both black, traditional algorithms struggle to tell them apart.DaoAI's core technology is Feature Cognition Inspection. The model is pretrained on a dataset of more than one million images, abstracting what the AI sees into a specialized feature space. The advantages show up at two levels: 1. Multi-dimensional differentiation: the AI no longer compares colors - it precisely distinguishes whether a defect is present on a component within feature space. 2. Continuous learning: the system mirrors how humans learn. If the AI gets a call wrong on the first pass, the inspector's feedback is fed into its memory system, so the next time a similar component appears, the same mistake doesn't recur."We pretrain a PCBA-specific inspection model on real production-line data," Chen explains. "All the customer needs is a single 'reference board.' Without any CAD file or component library, the AI identifies the location of every component, automatically generates inspection regions, and automatically calculates thresholds. Programming can be done in seconds or minutes - the AI takes over the part of AOI that historically required the most human intervention."This kind of fast programming is especially well-suited to high-mix, low-volume production. It dissolves the bottleneck that NPI (new product introduction) phases used to hit, where modeling was slow and dependent on dedicated programming engineers.Solving the Compute-and-Sovereignty Trade-off Without Cloud DependenceFor data sovereignty and information security issues that customers care about deeply - DaoAI runs 100% on-premise. To deliver high performance within the limited compute budget of edge hardware, DaoAI takes a "pretraining + rapid fine-tuning" approach: customers run a pre-tuned, optimized specialty model locally while keeping their data fully secure.Cross-Border Partnerships and the COMPUTEX Strategy: Complementing Taiwan's Supply ChainDaoAI has already established deep partnerships with Siemens (electronics manufacturing and automation platform integration) and BASF (vision analysis applications in chemicals). Looking ahead, Chen is bullish on the Taiwan market and announced that DaoAI will participate in COMPUTEX for the first time this year.DaoAI positions itself as a vision-AI application company, Chen says, and the trip to Taiwan has two strategic objectives: 1. Hardware integration: partner with local Taiwanese equipment manufacturers to combine DaoAI's AI software algorithms with Taiwan's high-quality hardware, delivering customized solutions. 2. Distribution expansion: identify professional distributors and service partners in Taiwan to get closer to local electronics manufacturing customers.Beyond Surface Mount Technology line inspection, DaoAI is also strongly interested in semiconductor packaging and testing and is looking to co-develop new applications with Taiwanese probe and inspection equipment makers - pushing the boundaries of vision AI further still.

In the high-stakes world of global security and emergency response, the shift toward "video-centric" operations has created a massive technical bottleneck: the struggle to transmit high-quality data over narrow, unreliable bandwidth. Secure City Solutions, a Canadian fast-growing company, is bridging this gap between military-grade demands and smart city infrastructure.In an exclusive interview, Siva Kumar, CEO of Secure City Solutions, explained why Taiwan plays an essential role in the company's global expansion, and why he has signed up to attend COMPUTEX 2026 in Taipei in June. "We not only want to address the Taiwan market, but we're also looking for hardware manufacturers for our global deployment."The company was born from a specific challenge faced by founders with deep military and defense backgrounds, including former General Dynamics leadership and a Colonel in the Canadian defense forces. They recognized that whether in a military conflict or a law enforcement pursuit, personnel often struggled to send big data over radios with low bandwidth. This led to the development of a unique solution designed to deliver forensic-quality video from one point to another without losing the essential details required for legal and operational use.At the heart of their offering is the Omni Compressor, a neural-type algorithm that drastically shrinks the digital footprint of video data. While traditional compression often drops frames or reduces resolution to save space, Secure City's technology maintains the original frame rate and resolution. This is a critical distinction for law enforcement, as compromised video quality is often inadmissible in court. Beyond the legal sector, the compression allows commercial entities like banks to store eight to nine times more footage on existing hardware without losing clarity. The company also claims to reduce costs by 75% compared to other solutions.The real-world impact of this technology is already visible in major global deployments, such as with the Dubai Police and over 45 other law enforcement agencies. The software allows police units to share live video from patrol cars or body cameras over weak wireless spectrums, ensuring that backup units can monitor officers entering dangerous areas. Firefighters have also adopted the technology, using helmet-mounted cameras to transmit live feeds to commanders who guide them through burning structures to rescue civilians. Even in rural areas where 5G is unavailable, the algorithm automatically adjusts to available bandwidth and uses high error correction to keep feeds stable despite network noise or jitter.As artificial intelligence becomes more prevalent in surveillance, Secure City Solutions serves as a vital performance booster. By reducing data sizes - for instance, from 100MB to 10MB - while maintaining original quality, the software allows AI models to process information and produce results much faster than they could with uncompressed files.Looking toward the future, Kumar is exploring strategic partnerships in Taiwan to address local needs for data sovereignty and hardware manufacturing. While the company has been successfully bootstrapped by its conservative, veteran leadership, they are now open to strategic investors to fuel a more rapid global expansion into new verticals like transportation and medical services. Secure City Solutions aims to ensure that no matter how narrow the pipe, the most critical data always gets through.