“Metadata stored within medical images, including X-rays and CT scans, can disclose confidential information, like patient names, photographed body parts, and the medical centers or physicians involved, leading to patient identification,” explains Jean-Philippe Cabay, data scientist at NTT Global in Belgium, whose team won the hackathon. “Attribute-based encryption ensures that only authorized users with the appropriate attributes can access medical images, keeping them secure and private.” How to Stop Attackers That Target Healthcare Imaging Data (darkreading.com)

“A Fourier transform maps time to frequency,” explains Ryan Hamerly, principal investigator at Silicon Valley R&D startup NTT Research Popular mechanics. “So if you have a piano piece, the waveform you pick up with a microphone is a time-varying signal. But people are also interested in things like spectrum in this case – which notes are played most often, which part of the spectrum is loudest – and that would be the frequency content.” Understanding Fourier Transforms: The Math That Gave Us Color TV (popularmechanics.com)

NTT Corporation and the University of Tokyo in Japan have devised a new learning algorithm inspired by the information processing of the brain that is suitable for multi-layered artificial neural networks (DNN) using analog operations. This breakthrough will lead to a reduction in power consumption and computation time for AI. Japan develops world’s first optical computing AI algorithm inspired by human brain (biospectrumasia.com)

NTT Corporation and the University of Tokyo have devised a new learning algorithm inspired by the information processing of the brain that is suitable for multi-layered artificial neural networks (DNN) using analog operations. This breakthrough will lead to a reduction in power consumption and computation time for AI. The results of this development were published in the British scientific journal Nature Communications on December 26^th. NTT and the University of Tokyo Develop World’s First Optical Computing AI Using an Algorithm Inspired by the Human Brain – Semiconductor Digest (semiconductor-digest.com)

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