News

Previously, Mr. Goto was Director of R&D at NTT and was previously Senior Manager and Chief Research Engineer at NTT Information Network Laboratories Group. He joined NTT Research Institute on July 1, 2022. Mr. Kei Karasawa has been appointed to a managerial position at NTT R&D in Tokyo. Mr. Goto will join his team in […]

The division of NTT has named Dr Al Emondi as head of partner strategy. An experienced organizational and technology leader, Dr Emondi joined NTT Research in March 2022 on a contract basis as part of its leadership advisory team, with responsibilities that include growth and research partner opportunities, strategic project and program support, partner enablement and value,

NTT Research, a division of NTT ,  announced that members of its Cryptography & Information Security (CIS) Lab authored or co-authored 17 papers that are being delivered at Crypto 2022, one of the leading international conferences on cryptologic research. A paper co-authored by CIS Lab Director Brent Waters won the event’s Best Paper Award, his

NTT Research, a division of NTT announced that members of its Cryptography & Information Security (CIS) Lab authored or co-authored 17 papers that are being delivered at Crypto 2022, one of the leading international conferences on cryptologic research. A paper co-authored by CIS Lab Director Brent Waters won the event’s Best Paper Award, his second such award in

Could analog artificial intelligence (AI) hardware – rather than digital – tap fast, low-energy processing to solve machine learning’s rising costs and carbon footprint? Researchers say yes: 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, such as those based on

Understanding this breakthrough requires a fair amount of background. Most readers will know that a quantum advantage is when a quantum computer answers a problem with a dramatically better runtime than a classical computer and that verifiability means it is easy to check that the answer is correct. The structure that is mentioned in the title

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

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

NTT Research, Inc., a division of NTT, appointed Dr. Al Emondi as its head of partner strategy. Emondi joined NTT Research in March 2022 on a contract basis as part of its leadership advisory team. He is also president and chief executive officer of Piontier, LLC, a technology development and neurotech product line consultancy. https://www.enterpriseai.news/2022/05/10/ai-career-notes-may-2022-edition/

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

Inside a soundproofed crate sits one of the world’s worst neural networks. After being presented with an image of the number 6, it pauses for a moment before identifying the digit: zero. Peter McMahon, the physicist-engineer at Cornell University who led the development of the network, defends it with a sheepish smile, pointing out that the

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,