Applied Materials, Inc. (NASDAQ:AMAT) is one of the 11 Best Large-Cap Tech Stocks to Invest In. On March 10, Applied ...

Joint R&D programs focused on advancing materials engineering and advanced packaging innovations for next-generation DRAM and high-bandwidth memory (HBM)Opening this year, Applied’s EPIC Center is ...

Companies to work together at Applied’s EPIC Center in Silicon Valley to accelerate development of advanced DRAM, high-bandwidth memory and NAND ...

Applied Materials partners with SK hynix to develop next-gen DRAM and high-bandwidth memory for AI, tackling the memory-speed gap—read the update now.

Applied Materials and SK hynix are partnering to accelerate the development and deployment of advanced memory technology to meet the growing needs of AI and high-performance computing. The ...

A leading supplier of materials that are essential for the manufacturing of semiconductor chips and related electronics, Applied Materials (NASDAQ:AMAT) has shed about 11% over the past week, pulling ...

Applied Materials, Inc AMAT is expanding its collaboration with Micron Technology Inc MU to develop next-generation memory chips for AI. They’re also investing heavily in U.S. semiconductor research ...

Applied Materials Inc. and Micron Technology are collaborating to develop next-generation DRAM, high-bandwidth memory (HBM) and NAND memory that increase energy efficiency performance in AI systems.

Joint R&D programs focused on advancing materials engineering and advanced packaging innovations for next-generation DRAM and high-bandwidth memory (HBM)Opening this year, Applied's EPIC Center is des ...

Cantor Global Technology & Industrial Growth Conference March 10, 2026 8:40 AM EDTCompany ParticipantsBrice Hill ...

Applied Materials Inc. (NASDAQ:AMAT) announced a new partnership with Micron Technology (NASDAQ:MU) aimed at developing advanced memory technologies tailored for artificial intelligence workloads. The ...

APL is developing a comprehensive suite of capabilities to ensure that additively manufactured parts can perform predictably ...