|
|
|
|
|
|
|
|
|
|
15.09.25 - 11:42
|
AI glasses need killer apps and local partnerships to drive adoption, says Samsung Taiwan exec (Digitimes)
|
|
AI glasses have attracted the attention of many industry heavyweights, who see them as next-generation mobile devices that free users' hands and extend smartphone applications. HTC has surpassed sales expectations with the Vive Eagle, the company's first AI glasses. In addition, other key players such as Samsung Electronics, Google, and Meta are either preparing or have already launched new products....
|
|
|
|
15.09.25 - 08:06
|
CXMT breaks into CXL memory, putting Samsung and SK Hynix on edge (Digitimes)
|
|
China's DRAM maker CXMT is reportedly developing compute express link (CXL) DRAM modules, a move that could escalate rivalry with Samsung Electronics and SK Hynix as the CXL market takes off in 2026. According to South Korea's EBN, CXMT has outlined its CXL roadmap to Korean semiconductor component suppliers and begun early design work, with one major substrate partner confirming initial joint R&D on CXL substrates....
|
|
15.09.25 - 07:06
|
Korean giants step up investments in India as it emerges as both key manufacturing hub and growing consumer market (Digitimes)
|
|
According to Ddaily, Samsung announced it will expand its India Innovation Campus (SIC) program from four states to ten this year, aiming to train 20,000 students, six times last year's intake. The program, aligned with India's "Make in India" and "Skill India" initiatives, covers AI, IoT, big data, and coding, with potential to feed talent into Samsung's Noida facility, the world's largest smartphone plant....
|
|
15.09.25 - 05:06
|
Nvidia reportedly moving forward with SOCAMM2, Korean memory giants set to gain (Digitimes)
|
|
Nvidia has reportedly abandoned its initial SOCAMM1 low-power DRAM module for AI workloads, shifting focus to SOCAMM2 with faster speeds and broader supplier collaboration, including Micron, Samsung, and SK Hynix. This move signals a strategic push to address technical challenges and advance AI memory solutions ahead of mass production in 2026....
|
|
|
|
|
|
|