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Progress in quantum computing is ongoing and various organizations, including technology companies, startups and research institutions, are working on quantum hardware and software. Quantum computers could one day begin to solve problems that are traditionally very difficult for conventional computation platforms. However, it’s important to note that building a stable and scalable quantum computer is […]

I lead NTT Research, Inc. as president and chief executive officer (CEO). In this role, I oversee each of our three Labs – the Physics & Informatics (PHI) Lab, the Cryptography & Information Security (CIS) Lab, and the Medical & Health Informatics (MEI) Lab – and work directly with each director to ensure we are continuing

The security of today’s public key encryption is based on the fact that huge computational resources are required to solve factoring problems, especially for large integers, says NTT Research CEO, Kazuhiro (Kazu) Gomi. This may no longer be true in the years ahead, he warns. “Shor’s algorithm, running on a scalable quantum computer, will change

Autonomous therapeutic systems are one of the most significant future medical technologies. These systems take over patient care from (human) providers by analyzing, determining and autonomously controlling conditions and treatments. Thus, we need to have a precise simulation of a patient’s medical condition—the patient’s bio digital twin. This should reduce human error and medical care

Researchers at MIT in the US and the Technische Universitat Berlin have built a optical neural network processor with embedded lasers that slashes the power consumption of large language model AI such as GPT4.0. Chen, Hamerly, and Englund have filed for a patent on the work, which was sponsored by the US Army Research Office

MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems. The current work is the latest achievement in a drumbeat of progress over the last few years by Englund and many of the same colleagues. For example, in 2019 an Englund team reported the

The surge of interest in the overall category of digital twins has led to some confusion, as tends to happen during “hype” cycles. A closer look at the cardiovascular bio-digital twin (one area of focus for my research organization) can help clarify matters. First, the existence of this niche says something. A bio-digital twin does