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By Ryotatsu Yanagimoto, Ph.D.Research Scientist, NTT Research Physics & Informatics (PHI) LabNTT Postdoctoral Fellow, Cornell University A new paper from NTT Research, Cornell University and Stanford University published in Nature, “Programmable On-Chip Nonlinear Photonics,” details the successful fabrication of a programmable nonlinear waveguide, demonstrating the capability to implement and switch among various nonlinear-optical functions on […]

The advancements in artificial intelligence (AI) have transformed various industries. As the size of AI models increases exponentially, traditional electronic systems are struggling to meet the compute demand due to their scaling limitations. This struggle necessitates a large network of disaggregated electronic chips for a single computational task and highlights the importance of optical technologies

The first two sessions in the “IOWN and Internet of Light” track at Upgrade 2024 focused on IOWN and its capabilities for optical transport. The next three discussed how photonics can improve computation, especially with machine learning (ML) and artificial intelligence (AI). In his talk, Physics & Informatics (PHI) Lab Scientist Tatsuhiro Onodera explained the

Moderated by NTT New Ventures & Innovation Group VP Rika Nakazawa, the Upgrade 2024 track titled “IOWN and the Internet of Light” included two sessions devoted to NTT’s Innovative Optical & Wireless Network (IOWN) and three sessions focused on emerging photonic technologies. We will summarize the IOWN sessions in this article and the others in

The last four sessions in the AI/ML track at Upgrade 2024 included a discussion of a unique application of AI in Australia, NTT’s own large language model (LLM) Tsuzumi, a strategic forecast for GenAI, and the relationship between AI and an NTT edge computing platform. In the fourth session of this track, NTT SMART World