NTT invited me to attend an event they will be hosting in San Francisco, which will explore 6G, next-gen network infrastructure and sustainability. It will be held at the NTT Experience Center and will highlight the Innovative Optical and Wireless Network initiative. IOWN is led through a combined effort from NTT, Intel and Sony. The purpose is to develop the next generation of network and information processing infrastructure. This includes terminals which can provide high-speed and high-capacity communications. Kagan: NTT hosting 6G wireless next-gen IOWN events (rcrwireless.com)

How do we test edge computing and make sure that our smart (often smaller) machines are doing what they should be doing? For NTT’s Parm Sandhu, it comes down to many factors, but he is able to pinpoint a number of key trends and practices. In his role as vice president for enterprise 5G products and services at NTT Ltd, Sandhu says that governance, observability and management of the underlying hybrid edge compute platform in use alongside its deployed application layer is of paramount focus. Today, there’s a widespread trend for software tools in this layer to attempt to provide an automated ‘single pane of glass’ to manage multi-cloud hybrid hyperscaler environments as well as the edge computing estate. NTT Tests The ‘Edge’ To Build A Sharper Internet Of Things (forbes.com)

Physicist Stephen Wiesner first proposed the idea of quantum money in 1969 but there were details still to be worked out. One of them was a system by which people could check that quantum money stored on a quantum computer was actually created by the official authorities. Mark Zhandry at NTT Research, a computing and cryptography start-up in California, and his colleagues have now worked out how using a branch of mathematics called knot theory can help. One thing mathematicians look at in knot theory is if one knot can be rearranged to match another – a surprisingly difficult problem, even for quantum computers. Once two knots are found to be equivalent, mathematicians assign them the same value called an invariant. Zhandry and his colleagues examined a quantum monetary system where calculating these invariants, for knots and similar classification problems, is the basis for checking the money is genuine. Quantum money that uses the mathematics of knots could be unforgeable | New Scientist

As I rev up for all things AI in 2023, I wanted to take a quick look back at my favorite stories, large and small, that I covered in 2022 — starting with my first few weeks at VentureBeat back in April. In August, I enjoyed getting a look at a possible AI hardware future. That’s what Logan Wright and Tatsuhiro Onodera, research scientists at NTT Research and Cornell University, envision: a future where machine learning (ML) will be performed with novel physical hardware, perhaps based on photonics or nanomechanics. These unconventional devices, they say, could be applied in both edge and server settings. My 13 favorite AI stories of 2022 | The AI Beat | VentureBeat

Tokyo-based telecommunications giant NTT Corporation announced today it’s developing a technology to power the world’s fastest radio wave propagation—to provide devices with lightning-fast wireless communication. NTT’s innovation—done in collaboration with Tokyo Denki University—is spurred in part by the increasing demands for high-speed, low-latency network connections between communication endpoints, as well as the continued rise in data usage and information flow. NTT developing ‘world’s fastest wireless communication technology’ (fastcompany.com)

NTT Research, Inc., a division of NTT announced that its Medical & Health Informatics (MEI) Lab has entered a three-year joint research agreement with the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). NTT Research scientists will work with the Disease Biophysics Group (DBG) at SEAS to engineer a model of the human heart, elucidate fundamental laws of muscular pumps, and apply lessons learned to a cardiovascular (CV) bio digital twin model. The agreement commenced on July 1, 2022. The principal investigator of the research project is Harvard Professor Kevin Kit Parker, who leads DBG, an interdisciplinary team with significant experience building micro-physiological systems to approximate the physiology and pathophysiology of the human heart. NTT Research and Harvard Collaborate on Cardiovascular Bio Digital Twin (aithority.com)

NTT Research, a global technology startup, has entered into a three-year research partnership with the Cambridge, Mass.-based Harvard John A. Paulson School of Engineering and Applied Sciences to engineer a digital model of the human heart. The research agreement began July 1, and the researchers aim for the partnership to help them understand cardiovascular structure-function relationships, according to a Nov. 16 NTT news release. Kevin Kit Parker, PhD, will lead Harvard’s research and will work with NTT researcher Joe Alexander, MD, PhD, on the project.  NTT Research, Harvard partner on digital cardiovascular research (beckershospitalreview.com)