Emerging Technologies

I recently moderated a panel featuring some of the best minds in the industry predicting what the future of technology will look like and what it will take to get there.

Join Applied Materials and a panel of experts in San Francisco on Dec. 4 to explore the types of memories needed for artificial intelligence applications.

New facility will offer the industry’s most advanced R&D environment for working with the extended semiconductor ecosystem to accelerate readiness of new materials, methods and devices for computing applications including Big Data and Artificial Intelligence.

Applied Materials and National University of Singapore jointly open a new R&D lab with support of the National Research Foundation Singapore. The goal of the collaboration is to accelerate the discovery and commercialization of new materials for manufacturing next-generation semiconductors.

VCs and corporations have invested more in AI startups over the last two years than the previous 10 years. Here’s my take on why.

AI is one of the most exciting and most pervasive inflections to happen in our lifetime. But it is challenging the entire design ecosystem – from materials to systems – in a way that we haven’t experienced before.

Back in July, Applied Materials announced that we’d been selected by the Defense Advanced Research Projects Agency (DARPA) to develop technology for AI. At the core of this project are the efforts of Applied Materials, Arm and Symetrix to develop a correlated electron switch. This of course begs the question, “what the heck is a correlated electron?”

CMP continues to be a key technology for materials-enabled scaling for the latest 3D inflections in NAND and logic, and will be critical to managing edge placement error.

5G networks supporting the explosion of big data combined with artificial intelligence (AI) will create a renaissance of computing and storage hardware.