Syensqo, a leading global supplier of advanced materials and chemical solutions, showcased its advanced materials portfolio for next-generation semiconductor manufacturing, with a particular focus on its latest Tecnoflon FFKM innovations, at SEMICON Taiwan 2026.
SK hynix Inc. (or "the company", www.skhynix.com) announced today the launch of its corporate venture capital (CVC) brand, "SK hynix Ventures," aimed at expanding strategic partnerships within the global AI ecosystem and securing future innovative technologies.
As AI continues to accelerate demand for high-speed optical connectivity, technologies such as silicon photonics, CPO, LPO, NPO and OCS are moving rapidly toward commercial deployment. The next challenge is turning these technologies into scalable, high-yield production.
As AI-driven high-performance computing (HPC) and chip-to-chip optical interconnects continue to see rapid growth, Hauman Technologies, a leader in test and measurement solutions, has introduced a breakthrough GHz-class, massively parallel bandwidth testing technology in collaboration with AUO Corporation...
Toward Technologies, Inc. concluded its participation in SEMICON Taiwan 2026, held from September 2 to 4 at Taipei Nangang Exhibition Center Hall 1. Under the theme "RELAY, REDEFINED.," the company showcased a broader switching technology portfolio at booth K3168 and demonstrated its transition from a traditional relay supplier to an advanced switching solution partner.
According to survey data from the Taiwan Society of Sleep Medicine, approximately one in every five people in Taiwan experiences insomnia. Many individuals live under prolonged psychological stress, resulting in an imbalance among stress, sleep, and lifestyle...
As graduation season arrives, Taiwan's semiconductor industry once again enters its annual competition for talent. Driven by declining birth rates and surging demand for computing power fueled by the artificial intelligence (AI) boom, semiconductor companies have continued to expand their hiring efforts year after year...
Discussion around advances in AI will often focus on model performance, chip launches, and compute scale. In practice, however, progress increasingly depends on something more fundamental: the ability to build faster, more reliable infrastructure for moving, processing, and managing data.
