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Wednesday 28 January 2026
Ministry of Economic Affairs Launches 2026 Best AI Awards
The Ministry of Economic Affairs (MOEA) officially announced the launch of the 2026 Best AI Awards during a press conference held on January 20, 2026. This prestigious competition serves as a strategic platform to bridge Taiwan's software innovation with its world-class semiconductor industry, aiming to solidify the nation's position as a global hub for artificial intelligence
Wednesday 28 January 2026
SK hynix Announces FY25 Financial Results
SK hynix Inc. (or "the company", www.skhynix.com) announced today that it has achieved record financial results in 2025 – 97.1467 trillion won in revenue, 47.2063 trillion won in operating profit (with an operating margin of 49%), and 42.9479 trillion won in net profit (with a net margin of 44%).The results significantly exceeded the previous record set in 2024. The annual revenue increased by more than 30 trillion won while the annual operating profit nearly doubled year-on-year, marking the highest annual performance in the company's history.Growth momentum accelerated further in the fourth quarter. In addition to HBM, demand on conventional memory solutions for servers increased sharply, to which SK hynix responded proactively. As a result, the company achieved record-high quarterly performance across all three indicators, with revenue rising 34% to 32.8267 trillion won, operating profit surging 68% to 19.1696 trillion won, and operating margin reaching 58% quarter-on-quarter.SK hynix emphasized that 2025 marked a year in which the company once again demonstrated its world-class technological leadership. In response to an AI-centric demand structure, the company secured both growth and profitability by enhancing technological competitiveness and expanding its portfolio of high value-added products.In the DRAM segment, HBM revenue more than doubled year-on-year, making a significant contribution to the company's record performance. Conventional DRAM entered full-scale mass production of 1cnm process, or the sixth-generation of the 10-nanometer technology. The company also solidified its leadership in server modules, with the development of the 256GB DDR5 RDIMM - a high capacity server module based on 32Gb fifth-generation 10nm-class (1b) DRAM.For the NAND business, despite sluggish demand in the first half, the company completed its development of 321-layer QLC products. SK hynix also achieved the highest annual revenue on record, responding to customer demand centered on eSSD in the second half.The company noted that as the AI market shifts from training to inference while demand for distributed architectures expands, the role of memory will become increasingly critical. Accordingly, not only demand for high-performance memory such as HBM is expected to grow continuously, but also for overall memory products including server DRAM and NAND as well.In response, SK hynix plans to further strengthen its proven quality, technological leadership and mass-production capabilities, based on the customer trust it has secured as the only industry player capable of stably supplying both HBM3E and HBM4 simultaneously. In particular, having successfully completed the preparation stages to mass produce HBM4 - for the first time in the industry - in September last year, the large-scale production of the next-generation HBM has been underway to meet customer requests, the company said.The company also sets to maintain its HBM4 leadership while strengthening customer and partner collaboration to supply optimized products in 'Custom HBM', which continues to gain traction as a key differentiator.For conventional DRAM, SK hynix intends to accelerate the transition to the 1cnm process, expanding its AI memory product portfolio to include solutions like SOCAMM2 and GDDR7. For NAND, the company plans to maximize product competitiveness by transitioning to 321-layer technology, while actively addressing AI data center storage demand by leveraging Solidigm's QLC eSSD.SK hynix stated that it will prioritize meeting customer demand amid supply-demand imbalances by reinforcing partnerships. To this end, the company plans to maximize production capacity of the M15X fab in Cheongju at an early stage. The company also intends to secure stable mid-to-long-term production capabilities through the construction of the first fab in the Yongin Semiconductor Cluster.The construction of the advanced packaging facilities in Cheongju and Indiana, the U.S., are also progressing smoothly. This enables the company to establish integrated global manufacturing capabilities spanning front-end and back-end processes, having able to respond flexibly to changes in customer demand.Meanwhile, backed by record-high financial performance, SK hynix announced a large-scale shareholder return program to enhance shareholder value.The company will deliver an additional dividend of 1 trillion won, equivalent to 1,500 won per share. Combined with the regular quarterly dividend of 375 won, the year-end dividend will total 1,875 won per share, bringing total dividends for FY2025 to 3,000 won per share, or 2.1 trillion won in aggregate.SK hynix also plans to cancel 15.3 million treasury shares (approximately 12.2 trillion won based on the closing price on the 27th) equivalent to 2.1% of total shares outstanding, signaling a long-term commitment to enhance per-share value and shareholder returns.Song Hyun Jong, President and Head of Corporate Center, said that SK hynix will continue to generate sustainable performance growth while maintaining the optimal balance between future investment, financial stability and shareholder returns, based on the company's technological edge. "We will strengthen our role not merely as a product supplier, but as a core infrastructure partner in the AI era, enabling customers to meet their AI performance requirements."4Q25 Financial Results (K-IFRS). Credit: SK hynixFY2025 Financial Results (K-IFRS).Credit: SK hynix
Wednesday 21 January 2026
iCatch and Jet Opto Announce 4K Automotive AI Imaging Solution
iCatch Technology announced a joint launch with its long-term partner Jet Opto (a Tier-1 automotive supplier) of a 4K automotive AI imaging solution designed to meet stringent European OEM requirements. Powered by iCatch's CR3 automotive AI imaging SoC, the solution has successfully passed validation by European automakers and is scheduled to enter mass production by the end of Q1 2026.At the core of the 4K OEM-grade imaging solution is iCatch's CR3 automotive AI imaging SoC, featuring the 8th-generation ThetaEye AI Image Signal Processing (ISP) engine, paired with a 4K LTM image sensor. This combination is engineered to address Europe's complex road conditions and diverse lighting environments, delivering high-quality, stable automotive imaging performance.Leveraging advanced imaging technologies integrated into the CR3 SoC, the solution delivers excellent high dynamic range (HDR) performance and supports LED Flicker Mitigation (LFM) to suppress flicker caused by LED streetlights, traffic signals, and other artificial light sources. Even under nighttime driving, high-speed motion, or extreme contrast conditions, the system maintains clear, stable, and reliable image quality - meeting the stringent safety and quality standards required by European OEMs for in-vehicle imaging systems.iCatch Technology and Jet Opto have maintained a close and long-standing collaboration in advanced imaging and automotive system development, continuously expanding their footprint in automotive imaging applications. Through this partnership, Jet Opto - acting as a Tier-1 supplier - has successfully introduced the jointly developed 4K OEM dash camera solution into the European automotive supply chain. The solution responds to growing market demand for high-resolution, high-reliability imaging while ensuring accurate recording of critical driving events, further enhancing vehicle safety and system value.With years of deep expertise in the automotive imaging market, iCatch Technology continues to invest in ThetaEye AI ISP technologies purpose-built for AI-based image analysis. The 4K imaging solution based on the CR3 automotive AI SoC supports 4K HDR video processing, H.264/H.265 encoding, and real-time data transmission, enabling seamless integration with a wide range of ADAS and intelligent in-vehicle applications. The CR3 platform has already been adopted by multiple automotive imaging and system manufacturers across Japan, Korea, and Europe, with several mass-production projects currently underway.In this collaboration, Jet Opto demonstrates its comprehensive one-stop Tier-1 service capability, covering early-stage software development, hardware engineering, optical module design, industrial design (ID) and mechanical integration, highly customized system integration, and in-house manufacturing. This end-to-end capability enables automotive OEM customers to accelerate product development from design validation through volume production.Weber Hsu, President of iCatch Technology, stated that Jet Opto is one of iCatch’s most important long-term partners in the automotive AI imaging field, and through deep collaboration across image sensing, AI image processing, and automotive system integration, the two companies have successfully brought a European OEM-compliant 4K pre-installed imaging solution into mass production, further strengthening iCatch’s global footprint in the automotive AI vision market.Jerry Lin, Chairman and President of Jet Opto, added that the long-standing partnership with iCatch has enabled both teams to accumulate extensive experience in optical modules, AI image processing, and automotive system integration, and that this 4K OEM-grade imaging solution demonstrates Jet Opto's Tier-1 strengths in system integration and volume delivery, helping European automakers deploy higher-quality and more reliable imaging applications in premium vehicle platforms.Looking ahead, iCatch Technology and Jet Opto will continue to deepen their collaboration in AI imaging and edge computing, expanding into broader automotive and intelligent vision applications to deliver smarter and safer AI imaging solutions to the global automotive market.
Monday 19 January 2026
KLA Strengthens Taiwan Presence, Investing NT$465M in Talent and Technology
The semiconductor industry stands at one of its most pivotal moments. As AI drives explosive demand for computing power, chip manufacturing grows exponentially - die sizes are scaling, tolerances are tightening, and the margin for error has nearly vanished."Explaining the complexity isn't easy," says Ahmad Khan, President of Semiconductor Products and Customers at KLA. "Picture a six-lane highway. A decade ago, you could cruise down the middle, drift left or right - no problem. Today? Same highway, but cars are doing 200 miles per hour with gaps the width of a human hair between them. One wrong move causes catastrophe." This isn't traditional manufacturing anymore, he notes. "It's artisanal work. Exceptionally difficult work."KLA's philosophy in this environment is fundamental yet profoundly important: the company doesn't change the wafer - it observes it. That distinction defines KLA's entire approach. While other equipment modifies, deposits or etches, KLA provides the visibility and insights that allow customers to more tightly manage the complexity of semiconductor manufacturing. In this era where advanced wafers cost $15,000 to over $30,000 each and fabs produce 100,000 monthly, the ability to "see" every nanometer with absolute precision is essential.This capability is important for almost all semiconductor manufacturers, and particularly in Taiwan, which is home to nearly 90% of the world's advanced semiconductor production. The gravity of this ecosystem is one of the key reasons KLA recently opened its new Hsinchu headquarters and its largest Learning and Knowledge Services (LKS) Training Center - a combined US$15.5 million (NT$465 million) investment that underscores the company's commitment to staying close to customers.35 Years Strong: A $15.5 Million Vote of ConfidenceKLA's new Taiwan headquarters in Hsinchu's Tai Yuen Hi-Tech Industrial Park, with WELL certification. Credit:KLAThe investment breaks down to US$10.5 million (NT$315 million) for the new office and US$5 million (NT$150 million) for the training center. Located in Tai Yuen Hi-Tech Industrial Park Phase IX, the headquarters spans 10,000 square meters across two floors, accommodating up to 1,000 employees. The facility earned WELL certification - reflecting KLA's focus on employee wellbeing.KLA first set up shop in Taiwan in 1990. Khan himself has been coming here since those early days. "Back in the '90s, downtown Hsinchu had one hotel. One," he recalls. "The semiconductor sector was just getting started." What he found were engineers trickling back from Motorola, Texas Instruments, and Intel - talented people who returned when Morris Chang and other pioneers decided Taiwan was ready to build fabs."The transformation has been remarkable," Khan says, attributing the growth to what he calls "the Taiwan spirit" - relentless work ethic, intense collaboration, and a willingness to challenge conventions and push for excellence. "This industry is incredibly challenging," Khan acknowledges. "There's nothing harder. You can work yourself to the bone, pour in capital, and still fail completely. But so many of the players in Taiwan have figured it out and continue finding success. We’re honored to be a part of it."Today, KLA Taiwan employs roughly 1,800 people spread across Hsinchu, Kaohsiung, Tainan, Taoyuan, Linkou, and Taichung, with plans to surpass 2,000 by year-end 2026 as customer demand surges.KLA's Largest Training Center: Where Innovation Meets EducationThe LKS Training Center covers 2,950 square meters, including 825 square meters of Class 100 cleanroom, and features 14 classrooms, an AR/VR immersive learning center, four engineering labs, and a chemical analysis lab.With millions of configuration modes, KLA's systems can't simply be switched on. Customers often need PhD- and master's-level engineers who can dial in exact settings for their specific needs. That's one of KLA’s primary motivations for investing in training infrastructure close to customers.The new training center combines classroom instruction, hands-on practice, and immersive simulations to accelerate learning. Beyond training KLA's own people, it is also designed to help customers' fab teams sharpen skills and get to yield faster on new technologies.Building Talent for the Long HaulWhile the larger semiconductor industry continues to face a talent crunch, KLA emphasizes steady hiring and long-term career growth. The company runs disciplined forecasts to determine staffing needs, avoiding boom-and-bust waves.KLA Taiwan values talent development and their long-term career growth, building a young and dynamic team. Credit:KLAKLA's talent strategy rests on three pillars:Extensive Campus Recruiting: KLA hires substantial numbers of fresh graduates and promotes from within, building loyalty and institutional knowledge over time.80-90% Internal Promotion: The company thinks long-term when hiring, creating clear career paths from customer support teams to application teams and engineering teams . People can climb technical ladders or switch to management based on their strengths.University Partnerships: KLA engineers give tech talks and teach courses at leading local universities. The company sees it as paying forward, training the next generation who'll work across the industry.The company seeks candidates with physics, mechanics, math, and computer science backgrounds. "We're mainly physics folks because we deal in optics, photons, electrons," Khan explains. With the new facilities, KLA Taiwan is actively recruiting positions across application engineering, field service, R&D, customer support, and sales and marketing.Why Process Control Became Make-or-BreakAs die sizes grow and devices get more complex, process control has gone from important to mission critical. Each new node brings tighter design rules, smaller features, and narrower process windows. Customers are printing tinier features, and yield becomes inversely proportional to the smallest printable feature.The stakes are incredibly high, both technologically and financially. When something goes wrong, thousands of wafers stack up behind the problem, with each carrying enormous economic weight.The AI chip challenge compounds the problem: mobile chips packed 20 billion transistors, but today's AI chips contain hundreds of billions of transistors. Die sizes have exploded. The math is brutal - if you have 10 dies per wafer and one fails, you still have nine. But if you only get two giant dies per wafer and one fails, you've lost 50%. All AI chips use massive dies, creating brutal complexity for customers.KLA's comprehensive portfolio - from BBP optical inspection to e-beam platforms to overlay metrology - monitors thousands of parameters across more than 1,000 process steps. If one step fails, yield can very quickly drop to zero.The industry shift is clear: customers are buying significantly more process-control tools because they need yield faster. Khan describes it through a straightforward lens - As semiconductor manufacturing becomes harder, KLA's capabilities become more critical, especially when a single excursion can cost hundreds of millions of dollars.AI Integration and What's NextKhan frames AI not as a trend or fashion, but as an inevitable evolution. After millions of years of biological evolution produced human neural networks - networks that gave humanity its competitive edge - the next step was always going to be artificial neural networks. This wasn't any individual's invention; it was the natural progression of how intelligence develops and scales. The universe, he suggests, essentially selects for the species with the most connected neurons. Now that same principle is extending to how we use machines to amplify our own neural connections.KLA is integrating AI directly into its tools to sharpen defect classification and speed root-cause analysis. The technology also transforms service support: every engineer now essentially walks around with an expert in their pocket. When an engineer encounters a problem, the AI network can instantly surface solutions from decades of collective troubleshooting experience. Ultimately, AI is enabling faster solutions, more productive engineers and more satisfied customers.This matters because KLA's systems use AI, customers build AI chips, and AI is reshaping every part of the manufacturing chain. It's a fundamental transformation, not a passing phase.Looking ahead, KLA is developing panel-based inspection systems (volume production expected around 2028) and high-NA EUV systems. Khan, who's spent about 30 years in the industry, maintains the semiconductor industry hasn't peaked. His reasoning is straightforward: computing demand will always trend upward, not downward. Until the walls aren't made of silicon, there's room to grow.Join the TeamKhan sums up KLA's hiring philosophy simply: maintain a stable plan, partner with universities, train people well, and grow them over time. They become advocates, which brings company success—and through that success, customers succeed.For engineering graduates and professionals interested in joining KLA Taiwan's 1,800-plus team, opportunities span application engineering, R&D, customer support, and sales and marketing. To explore opportunities, you may visit our KLA Careers or follow KLA Taiwan Facebook Fan page.