As the AI computing race accelerates and semiconductor manufacturing capacity is increasingly redirected toward advanced memory, the memory industry is shifting from price-driven competition to a battle over resource allocation and supply security. The rapid expansion of high-bandwidth memory (HBM) production continues to consume advanced fabrication capacity, constraining the supply of conventional memory products and creating persistent shortages across the market. This concentration of high-end production has widened the supply-demand gap, driving the average selling prices of certain premium memory products to levels eight to ten times higher than previous norms

Rugged edge computing brand – Cincoze will showcase its latest embedded computing solutions at COMPUTEX Taipei 2026, from June 2–5 (Hall 2, Booth Q0401a). Cincoze will display its full range of edge computing solutions around the theme of "Smarter, Faster, More Reliable - Powered by Edge AI" encompassing the full spectrum of edge application environments in four dedicated zones, including DIN-Rail computers, industrial panel PCs and monitors, rugged embedded computers, and GPU embedded computers

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

Montreal-based AON3D is setting a new standard through its mastery of high-performance materials and precision 3D printing technology.Co-founded in 2015 by Andrew Walker, Randeep Singh, and Kevin Han - who started the company in his family's basement - AON3D has evolved into a global leader in high-performance additive manufacturing.With an eye on the Taiwan market at COMPUTEX 2026, Han and his team are ready to bridge the gap between complex aerospace technology and the agile SME ecosystem.The Materials Engineer's VisionKevin Han's journey began at McGill University with a background in materials engineering. After operating as a service bureau, Han recognized a gap in the market for machines capable of handling specialized materials. Through multiple product iterations, AON3D today offers it's Hylo High-Temperature 3D Printer, along with Basis, it's advanced physics simulation software for additive manufacturing. Hylo and Basis: AI-Infused and Physics-BasedAON3D's product suite offers an AI-infused manufacturing solution that reduces the trial and error usually experienced in additive manufacturing processes. "What we do is actually model out at the physics level what's going to happen as you run the print job," says Han. "Our technology creates a digital twin of the print, meaning we can use simulation to identify process irregularities that lead to hidden defects, instead of in post-production."Within the Basis platform, simulated data and real data are also compared to offer automatic optimizations. The Power of "Open Materials"AON3D's primary competitive advantage is its "Open Materials" philosophy. Unlike competitors that "lock" users into proprietary, expensive filament spools - much like the cartridges on a paper-based printer - AON3D's platform is supply-agnostic. "We support the full gamut of industrial polymers, but many customers are most interested by high-performance varieties like PEEK, PEKK, and PEI (Ultem)," Han explains. "This includes their carbon and glass-fibre variants, where strength and lightweighting benefits most appeal to demanding industries like aerospace and defense." From NASA to the Factory FloorAON3D's credentials extend to outer space. The company has worked with the Canadian Space Agency (CSA) to print components for the International Space Station, and their parts were aboard the Artemis 1 mission.Closer to home, AON3D's solutions are used by customers like Boeing, Lockheed Martin, Northrup Grumman, and more in aerospace, while also offering benefits to automotive, energy, and general manufacturing. One automotive customer saw full payback under 2 months for their first Hylo purchase, and is eagerly awaiting more. Leveraging Taiwan's EcosystemAt COMPUTEX 2026, AON3D aims to connect with Taiwan's semiconductor packaging and testing sectors. Beyond chips, they see massive potential in Taiwan's drone industry and medical prosthesis field. Hylo's ability to "light-weight" components makes it ideal for rapid drone iteration.  "We want to bring capabilities to a group that didn't have them before," Han concludes. AON3D isn't just selling a printer; they are offering a gateway to the next generation of industrial manufacturing.

The dream of a world without charging cables - where phones, headsets, and even industrial robots never need to be plugged in - is moving from science fiction to reality. AWL Electricity, often referred to by partners as All Electricity, is at the forefront of this shift by leveraging advanced semiconductor breakthroughs to deliver power wirelessly over distance. As the company prepares for COMPUTEX 2026 in Taipei this June, it aims to solidify its position as the global leader in mid-power, mid-range wireless charging.The Breakthrough: GaN and the Five-Foot RadiusThe foundation of AWL Electricity's technology lies in a scientific leap made in 2017 by the invention of CEO Emmanuel Glenn. While the concept of wireless power dates back to Nikola Tesla, traditional low-frequency methods were often unsafe or impractical due to the extreme power required at low frequencies. By utilizing Gallium Nitride (GaN) transistors, the company successfully increased operating frequencies while reducing electric field strength, making the technology safe and highly practical.Unlike standard charging pads that require direct contact, AWL-E's Resonant Capacitive Coupling technology focuses on a 1.5-meter (five-foot) radius. Francis Beauchamp-Verdon, Co-Founder and Chief Revenue Officer, explains that human moves around within a five-foot bubble, whether at a desk, in a car, or at a café. While the company remains "planet-centric" and advises that high-power stationary devices like coffee machines or electric vehicles should remain wired for maximum efficiency, wireless power is reserved for mobility and devices where cables create significant friction.Transforming Industry 4.0Beyond consumer electronics, AWL-E is targeting the "New Age of Physical AI" and smart manufacturing. Modern factory lines can require between 40,000 to 50,000 sensors, with an automotive leader noting that every single wire adds significant connection costs. AWL-E's solution eliminates the need for traditional cable management and drag chains into robotic cells. By powering humanoids and autonomous guided vehicles (AGVs) while they work, factories can eliminate 20% downtime typically lost when robots must sit next to a charging wall.Strategic Objectives for COMPUTEX 2026Taiwan holds a special place in the AWL-E story, as its semiconductor ecosystem enabled the company's initial breakthrough. During the COMPUTEX 2026 mission, the company seeks to collaborate with Taiwanese chip leaders to transition their technology into a dedicated Wireless Power Chip, which would make the solution smaller, cheaper, and more accessible. Additionally, the company hopes to help Taiwan improve its own chip-making tools, specifically in vacuum environments where wires are a "worst enemy," creating a symbiotic relationship where AWL-E powers the machines that build the chips.Beauchamp-Verdon will be carrying a portable demo unit to the event to prove that this innovation is ready for today's market. He believes that seeing technology in action is essential for the Taiwanese industry, where "seeing is believing" is a core mindset. AWL-E currently maintains flagship projects in consumer electronics, automotive, and factory automation across Asia and intends to use this visit to find the right partners for their next level of expansion.

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.