Month: July 2022

NTT Research Discusses Analog Machine Learning at VentureBeat Event

NTT Research President and CEO Kazuhiro Gomi and Physics & Informatics (PHI) Lab Research Scientists Logan Wright and Tatsuhiro Onodera discussed physical neural networks on July 19 during the VentureBeat Transform 2022 event held in San Francisco. The innovative research of Drs. Wright and Onodera and colleagues at Cornell University, published earlier this year in …

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How CCE brings changes to securing critical infrastructure

The recent attacks against critical infrastructures have led to new approaches to security solutions, such as Consequence-driven Cyber-informed Engineering. Consequence-driven Cyber-informed Engineering, or CCE, is an approach for safeguarding critical infrastructure systems. To put it briefly, CCE is about imagining the worst possible outcome of a cyber threat perpetrator, and then building a non-cyber or …

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New hardware created by Stanford team shows a way to develop delicate quantum technologies based on tiny mechanical devices

Stanford University researchers have developed a key experimental device for future quantum physics-based technologies that borrows a page from current, everyday mechanical devices. Reliable, compact, durable, and efficient, acoustic devices harness mechanical motion to perform useful tasks. A prime example of such a device is the mechanical oscillator. When displaced by a force – like …

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New hardware integrates mechanical devices into quantum tech

Stanford University researchers have developed a key experimental device for future quantum physics-based technologies that borrows a page from current, everyday mechanical devices. Reliable, compact, durable, and efficient, acoustic devices harness mechanical motion to perform useful tasks. A prime example of such a device is the mechanical oscillator. When displaced by a force – like …

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AI And ML Think Green

The artificial intelligence (AI) market is growing fast. One powerful subset of AI is machine learning (ML), which involves not predefined instructions and fixed algorithms but learned patterns over artificial neural networks. Developers have used ML to solve mission-critical problems with high speed and accuracy in a wide range of domains, including agriculture, e-commerce, education, …

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New Hardware Integrates Mechanical Devices into Quantum Tech

Stanford University researchers have developed a key experimental device for future quantum physics-based technologies that borrows a page from current, everyday mechanical devices. Reliable, compact, durable, and efficient, acoustic devices harness mechanical motion to perform useful tasks. A prime example of such a device is the mechanical oscillator. When displaced by a force – like …

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Yamakawa and Zhandry Advance Verifiable Quantum Advantage

A recent paper co-authored by NTT Research Cryptography & Information Security (CIS) Lab Senior Scientist Mark Zhandry provides a new approach to verifying quantum advantage or proving quantumness. Discussed by Dr. Zhandry in a workshop at the Simons Institute for the Theory of Computing on June 13, the paper was described as a “breakthrough” by …

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