Articles from NTT Research, Inc.

Today, NTT Research, Inc., a division of NTT (TYO: 9432), announced the Zero Trust Data Security (ZTDS) Suite, a new set of cybersecurity solutions powered by attribute-based encryption (ABE) of data, even against the rising threat of quantum computing-enhanced cyberattacks. Additionally, NTT Research announced that the Center for Research and Development on Secure Computer Systems (CRADSEC) will license ABE software to enhance its development of secure virtual environments.

NTT Research, Inc., a division of NTT (TYO: 9432), announced that its Physics and Informatics (PHI) Lab, working with Cornell University and Stanford University, has developed the world's first programmable nonlinear photonic waveguide that can switch between multiple nonlinear-optical functions on a single chip. The breakthrough fundamentally alters how nonlinear photonic devices operate, breaking the “one device, one function” paradigm, and significantly expands the applications for tunable light sources, optical and quantum computation, and communication.

NTT Research, Inc. and NTT R&D, a division of NTT (TYO:9432), announced that their scientists are presenting 23 papers at Crypto 2025, including research that received the conference’s Best Paper Award. The findings from NTT’s global network of researchers account for about 15% of the conferences total accepted papers and include breakthroughs in several cryptographic areas, such as attribute-based encryption (ABE) and post-quantum cryptography.

NTT Research, Inc. and NTT R&D, divisions of NTT (TYO:9432), researchers presented twelve papers at the forty-second International Conference on Machine Learning (ICML), held July 13-19, 2025 in Vancouver. ICML 2025 is a leading global conference “dedicated to the advancement of the branch of artificial intelligence known as machine learning,” including for applications such as machine vision, computational biology, speech recognition and robotics.

NTT Research, Inc., a division of NTT (TYO:9432), announced that its Physics and Informatics (PHI) Lab and the Graduate School of Information Science(GSIS) at Tohoku University, jointly published the paper “Single photon coherent Ising machines for constrained optimization problems” in the Quantum Science and Technology journal. As part of the collaboration, researchers from the two institutions studied a combinatorial clustering problem which is a representative task in unsupervised machine learning.

NTT Research, Inc., a division of NTT (TYO:9432), announced that Tetsuhiko Teshima, Ph.D., received the Young Scientists’ Award from Japan’s Ministry of Education, Culture, Sports, Science and Technology (MEXT) for his research into the analysis and control of biological dynamics based on the self-organization of functional thin films. The award, according to MEXT, recognizes researchers under the age of 40, “who have made notable research achievements that demonstrate high research and development capabilities, such as pioneering research or research based on original perspectives.”

NTT Research, Inc. and NTT R&D, divisions of NTT (TYO:9432), announced that their scientists will present nine papers at the International Conference on Learning Representations (ICLR) 2025, a top-tier machine learning conference dedicated to the advancement of representation learning, particularly deep learning. Five of the accepted presentations result from research co-authored by scientists within NTT Research’s recently announced Physics of Artificial Intelligence (PAI) Group led by Group Head Hidenori Tanaka.

NTT Research, Inc. a division of NTT (TYO:9432), unveiled the Physics of Artificial Intelligence Group, spun off from a group within the NTT Research Physics & Informatics (PHI) Lab. The new group will continue to advance the “Physics of Artificial Intelligence,” an interdisciplinary approach to understanding AI pioneered by the team over the past five years. NTT Research Scientist Dr. Hidenori Tanaka, an expert in physics, neuroscience, and machine learning who led the PHI Lab’s Intelligence Systems Group, will become head of the Physics of Artificial Intelligence Group.

NTT Research, Inc., a division of NTT (TYO:9432), today announced plans to hold Upgrade 2025, NTT’s Global Research & Innovation Summit, on April 9-10, 2025 at the Metreon City View in San Francisco. The event will bring together researchers, scientists, executives and industry experts to discuss how we bridge the gap from innovative ideas to tangible advancements, propelling the world into a new era shaped by artificial intelligence (AI). Under the theme of “Innovation for the New Reality,” Upgrade 2025 will cover a wide range of topics, including photonics, the Innovative Optical & Wireless Network (IOWN) initiative, thin-film lithium niobate, the coherent Ising machine, encryption technology such as attribute-based encryption (ABE), cryptography, the physics of AI, workforce transformation, open innovation, space integrated computing, critical care anywhere in the form of autonomous care for cardiovascular events, sustainable data center technology and more.

NTT Research, Inc., a division of NTT (TYO:9432), and the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) announced the publication of research showing an application of machine-learning directed optimization (ML-DO) that efficiently searches for high-performance design configurations in the context of biohybrid robots. Applying a machine learning approach, the researchers created mini biohybrid rays made of cardiomyocytes (heart muscle cells) and rubber with a wingspan of about 10 mm that are approximately two times more efficient at swimming than those recently developed under a conventional biomimetic approach.

NTT Research, Inc., a division of NTT (TYO:9432) and NTT R&D, today announced that scientists from their respective organizations are delivering six presentations at this year’s conference on Neural Information Processing Systems (NeurIPS). Conference organizers designated one of those six as a Spotlight presentation, a status awarded to the top 2-3 percent of submitted papers. Researchers from the NTT R&D Computer and Data Science (CD), Communication Science (CS), Social Informatics (SO), and Human Informatics (HI) Labs are delivering five other presentations on papers involving data classification, latent functions, partial differential equations and other topics. A top-tier conference in the field of artificial intelligence, NeurIPS 2024 is being held December 10-15 in Vancouver, British Columbia.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that scientists from its Physics & Informatics (PHI) Lab have achieved quantum control of exciton wavefunctions in two-dimensional (2D) semiconductors. In an article published in Science Advances, a team lead by PHI Lab Research Scientist Thibault Chervy and ETH Zurich Professor Puneet Murthy documented their success in trapping excitons in various geometries, including quantum dots, and controlling them to achieve independent energy tunability over scalable arrays.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that a paper coauthored by Cryptography & Information Security (CIS) Lab Director and Distinguished Scientist Brent Waters has won an Association of Computing Machinery (ACM) Symposium on Theory of Computing (STOC) Test-of-Time Award. The paper, titled “How to Use Indistinguishability Obfuscation: Deniable Encryption, and More,” was delivered at STOC 2014. Waters co-authored the paper with UCLA Professor of Computer Science Amit Sahai. This is the fifth Test-of-Time Award that Waters has received, and his second from ACM. Since 2020, STOC has honored papers that were published 10, 20 and 30 years earlier, paying particular attention to their long-term impact. This year’s award recipients are being recognized at STOC 2024 in Vancouver, British Columbia, June 24–28, 2024. In addition, CIS Lab scientists are presenting four papers at this highly ranked conference on theory.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that members of its Cryptography & Information Security (CIS) Lab and of the NTT Social Informatics Laboratories (SIL) in Tokyo, Japan co-authored 17 papers that are being presented at Eurocrypt 2023, one of three flagship conferences organized by the International Association for Cryptologic Research (IACR). This year’s Eurocrypt event will take place at the Lyon Convention Center in Lyon, France, and features 43 sessions, 108 papers and 2 invited talks. For details on all NTT Eurocrypt 2023 papers, see Appendix A below. Ten of the NTT contributions this year fall into three categories – attribute-based encryption, quantum cryptography and multi-party computation:

NTT Research, Inc., a division of NTT (TYO:9432), today announced plans to hold Upgrade 2024, NTT’s Global Research & Innovation Summit, on April 10-11, 2024. The free, two-day event will focus on innovation that has the potential to Upgrade Reality. Day 1 will feature hands-on demonstrations of innovative technologies, ranging from optical devices to NTT’s large-language model (LLM), Tsuzumi, and an opening reception with a welcome from NTT CEO Akira Shimada. Day 2 will begin with opening remarks from NTT Research President and CEO Kazuhiro Gomi, continue with discussions of medical innovation and basic research, and feature a keynote by Disney/Pixar veteran Matthew Luhn. Day 2 will continue with afternoon breakout sessions on security and privacy, AI and machine learning (ML), and the internet of light powered by IOWN. The event will take place at the NTT Experience Center (XC) and the Metreon City View, both in San Francisco, and will be streamed online for those who are unable to attend in-person.

NTT Research, Inc., a division of NTT (TYO:9432), today announced plans to double the size of its optical research facility in 2023. The expansion will accommodate the experimental needs of scientists in its Physics & Informatics (PHI) Lab who are studying Coherent Ising Machines (CIMs), which are networks of optical parametric oscillators (OPOs) programmed to solve problems mapped to an Ising model. (The Ising model is a mathematical abstraction of magnetic systems composed of competitively interacting spins, or angular momenta of fundamental particles.) The experimental work to be performed in the new optics lab, which is expected to be completed in October 2023, will impact theoretical investigations of CIM and Boolean satisfiability (SAT) problem-solving platforms. A well-known class of difficult problems that can be addressed with digital heuristics, SAT problems, are also a focus of the PHI Lab.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that a paper co-authored by Cryptography & Information Security (CIS) Lab Director Brent Waters has won an IEEE Symposium on Foundations of Computer Science (FOCS) Test of Time Award. The paper, titled “Candidate Indistinguishability Obfuscation and Functional Encryption for all circuits,” was delivered at FOCS 2013. The paper’s co-authors were Sanjam Garg, Craig Gentry, Shai Helevi, Mariana Raykova and Amit Sahai. Since 2019, FOCS has given Test-of-Time awards to papers that were delivered 10, 20 and 30 years earlier. This year’s winning papers will be recognized at FOCS 2023, scheduled to be held November 6-9 in Santa Cruz, CA. In addition, two papers co-authored by scientists from the CIS Lab and the NTT Social Informatics Laboratories (SIL) will be presented at this year’s conference.

NTT Research, Inc., a division of NTT (TYO:9432), today announced plans to hold Upgrade 2023, the NTT Research Summit, as an in-person event on March 15-16, 2023. This year’s summit, organized under the theme “Scaling the Future,” opens on March 15 at 9:00 a.m. (PST). The free, two-day event will focus on scaling ideas to innovations that can impact the world. Day 1 will focus on the Innovative Optical and Wireless Network (IOWN) initiative and will include an Innovation Expo. Day 2 will feature sessions on breakthroughs in data privacy, precision cardiology, nonlinear optics, advanced encryption technologies, the digital workplace and the network edge. Speakers include executives and scientists from NTT Group companies. The in-person event will take place at the NTT Experience Center (XC) and the Metreon, both in San Francisco.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that scientists affiliated with its Physics & Informatics (PHI) Lab have co-authored a paper that proposes a way to overcome bias in deep neural networks (DNNs). A type of artificial intelligence (AI), DNNs have become pervasive in science, engineering and business, and even in popular applications, but they sometimes rely on spurious attributes that may convey bias. In a paper presented at the International Conference on Machine Learning (ICML), July 23-28, 2023, PHI Lab Research Intern and graduate student at the University of Michigan Ekdeep Singh Lubana, PHI Lab Research Scientist and Associate at the Harvard University Center for Brain Science Hidenori Tanaka and three other scientists proposed overcoming the limitations of naive fine-tuning, the status quo method of reducing a DNN’s errors or “loss,” with a new algorithm that reduces a model’s reliance on bias-prone attributes. The ICML is one of the three primary conferences on ML and AI, according to Google Scholar. The other authors of the paper, titled “Mechanistic Mode Connectivity,” are Eric Bigelow, a graduate student in psychology at the Harvard Center for Brain Science; Robert Dick, Associate Professor in the College of Engineering at the University of Michigan; and David Krueger, Assistant Professor at Cambridge University, and member of its Computational and Biological Learning Lab.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has named Takashi Goto as head of its Technology Promotion Team, a group set up to help productize well-developed research concepts. Mr. Goto was previously a director in the NTT R&D Planning Department and before that a senior manager and senior research engineer at the NTT Information Network Laboratory Group. He joined NTT Research on July 1, 2022, succeeding Dr. Kei Karasawa, who has taken an executive position at NTT R&D in Tokyo. Mr. Goto will join the executive team at NTT Research, where he will be responsible for exploring the market potential for technologies under development at NTT Research, as well as NTT R&D. One of the first targets for commercialization is attribute-based encryption (ABE), a form of cryptography that allows for sharing data while preserving the data owner’s privacy.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that its Physics & Informatics (PHI) Lab continues to advance basic scientific knowledge in the areas of neural network, photonics and quantum science. In a three-month span, from March 1 to May 31, ten influential scientific journals published or accepted 12 papers co-authored by PHI Lab scientists. At the same time, members of the PHI Lab delivered 19 talks at six scientific conferences or meetings. The journal publishers included the American Association for the Advancement of Science (AAAS), the American Chemical Society (ACS), the American Physical Society (APS), Cell Press, the Genetics Society of America (GSA), Nature Portfolio and Optica (formerly OSA). The conference hosts were APS, Optica, the Institute of Electronic and Electrical Engineers (IEEE) Photonics Society, the International Conference on Physics of Light-Matter Coupling in Nanostructures (PLMCN), the Society for Neuroscience and SPIE (the International Society for Optical Engineering).

NTT Research, Inc., a division of NTT (TYO:9432), today 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 the past three years. In addition, NTT Corporation and NTT Social Informatics Laboratories contributed another six papers. Organized by the International Association for Cryptologic Research (IACR), this year’s hybrid event will take place in Santa Barbara, August 13-18. NTT Research is one of the conference’s eight gold-level sponsors.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that a paper by Physics & Informatics (PHI) Lab Scientist Dr. Gautam Reddy, which makes a novel contribution to the understanding of learning, has been published in the Proceedings of the National Academy of Sciences (PNAS), one of the world's most cited and comprehensive multidisciplinary scientific journals. The paper, titled “A reinforcement-based mechanism for discontinuous learning,” uses data on spatial navigation of labyrinths by laboratory mice to provide a simple explanation for the “a-ha” moment of sudden insight. Dr. Reddy shows that the outcome of reinforcement learning (RL) algorithms, which operate gradually, can appear discontinuous for certain kinds of tasks. Specifically, this is true when the artificial RL agent learns the direct path from point A to point B in certain structured environments.

NTT Research, Inc., a division of NTT (TYO:9432), today announced it has named Dr. Al Emondi 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, and research investments. Dr. Emondi is also President and CEO of Piontier, LLC, a technology development and neurotech product line consultancy. He was previously a Program Manager for the Defense Advanced Research Projects Agency (DARPA) and CTO of the U.S. Naval Information Warfare Center (NAVWAR) Atlantic. Dr. Emondi received his M.S. in Electrical Engineering and Ph.D. in neuroscience from Syracuse University.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that a paper by NTT Research Cryptography & Information Security (CIS) Lab Senior Scientist Daniel Wichs that is being presented at the Association for Computing Machinery (ACM) Symposium on Theory of Computing (STOC) has won a Best Paper Award. It was one of two that the STOC 2023 program committee awarded this year. Dr. Wichs is also an Associate Professor of Computer Science in the Khoury College of Computer Sciences at Northeastern University. His co-authors are Dr. Wei-Kai Lin and Ethan Mook, post-doctoral fellow and doctoral student, respectively, at Northeastern. The paper, titled “Doubly Efficient Private Information Retrieval and Fully Homomorphic RAM Computation from Ring LWE,” solves a longstanding open problem involving private information retrieval. A hypothetical use case of this work cited in the paper is an encrypted version of the Google search engine that would enable users to search the internet privately.

NTT Research, Inc., a subsidiary of NTT (TYO:9432), today announced that it has joined the Massachusetts Institute of Technology (MIT) Artificial Intelligence (AI) Hardware Program as an inaugural industrial member. A leading academic center for AI research, MIT has established this program to coordinate various research groups at MIT that are related to this topic. A key strategic initiative of the program is to apply hardware technologies to improve AI engines from the perspective of its performance and energy consumption. NTT Research has joined for a three-year term that began in January 2022.

NTT Research, Inc., (NTTR) a division of NTT (TYO:9432), and the National Cerebral and Cardiovascular Center (NCVC) today announced an agreement to jointly launch a Bio Digital Twin Center in Suita, Japan. This initiative extends and expands the scope of a joint agreement on cardiovascular bio digital twin (CV BioDT) research between the two organizations reached in 2020. At NTT Research, this work has involved its Medical & Health Informatics (MEI) Lab. Scientists at the NTTR-NCVC Bio Digital Twin Center intend to create applications by integrating mathematical models, co-developed by the MEI Lab and NCVC, onto the CV BioDT platform advanced by the MEI Lab. Drs. Kazunori Uemura and Keita Saku (M.D., Ph.D.s) will lead the NTTR-NCVC Bio Digital Twin Center, respectively, as laboratory chief and acting director. Dr. Uemura was previously laboratory chief at the NCVC Department of Cardiovascular Dynamics, where Dr. Saku remains laboratory chief and acting director. They will conduct research and development with MEI Lab Director Dr. Joe Alexander (M.D., Ph.D.) and team. This is the NCVC’s first such collaboration with a company partner.

NTT Research, Inc., a subsidiary of NTT (TYO:9432), today announced that Dr. Elette Boyle has joined the Cryptography & Information Security (CIS) Lab as a senior scientist. Dr. Boyle has most recently been serving as Associate Professor of Computer Science at the Efi Arazi School of Computer Science and Director of the Center for Research on Foundations and Applications of Cryptographic Theory (FACT) at the Interdisciplinary Center (IDC) in Herzliya, Israel, where she has been on the faculty since 2015. Dr. Boyle received her Ph.D. from the Massachusetts Institute of Technology (MIT) in mathematics in 2013. Her research has been recognized by a number of awards, including a Google Research Scholar Award in 2021, an Outstanding Researcher Award from IDC in 2019 and a Best Paper award at the International Cryptology Conference (CRYPTO) 2016. She was selected as one of 22 recipients across Europe for the prestigious 2019 European Research Council (ERC) Starting Grant in the area of Computer Science and Informatics.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that a team of scientists associated with its Physics and Informatics (PHI) Lab, the Massachusetts Institute of Technology (MIT) and several optical computing companies have demonstrated an approach to optically driven deep neural networks (DNN), dubbed Netcast, which resolves the memory-access bottleneck in resource-constrained edge devices, enabling orders of magnitude energy and latency reduction. Conceived by PHI Lab Senior Scientist Ryan Hamerly, Netcast was demonstrated in work performed by MIT Ph.D. candidate Alexander Sludds, under the joint supervision of Dr. Hamerly and MIT Professor Dirk Englund, and with the help of a wide group of collaborators. Their research was summarized in an paper titled “Delocalized photonic deep learning on the internet’s edge,” and published in the October 20 issue of Science, one of the world’s top academic journals.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has entered a joint research agreement with scientists at Harvard University to study animal neuro-responses with the hope of informing future artificial intelligence systems. The five-year research project, launched in the fall of 2021, enables researchers at the two organizations to collaboratively study how animals maintain behavioral flexibility, specifically in the task of navigation. Greater understanding of how this challenge is approached in biology may eventually enable the design of new computing machines with similar capabilities. The principal investigator is Venkatesh Murthy, PhD, the Raymond Leo Erikson Life Sciences Professor of Molecular and Cellular Biology at Harvard and the Paul J. Finnegan Family Director of its Center for Brain Science. Murthy’s counterpart at NTT Research for the joint project is Physics & Informatics (PHI) Lab Research Scientist Gautam Reddy, PhD, who was previously an Independent Post-Doctoral Fellow at Harvard’s NSF-Simons Center for Mathematical and Statistical Analysis of Biology.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that scientists from Tokyo Institute of Technology (Tokyo Tech) and NTT Research have successfully developed compressed sensing as the first application of the cyber coherent Ising machine (cyber-CIM), a quantum-inspired algorithm that can be implemented on a modern digital platform today or hybrid quantum-classical machine in the future. They shared their findings in a paper, titled “L0 regularization-based compressed sensing with quantum-classical hybrid approach,” published in May 2022, in the journal Quantum Science and Technology. Compressed sensing is a signal processing technique used in medical imaging, astronomy and elsewhere that requires extremely high levels of processing on existing computers to discard massive amounts of data with no useful information. In an exercise optimizing L0-regularization-based compressed sensing (L0-RBCS), the cyber-CIM approached the theoretical limit of compressed sensing and outperformed the commonly used default method. L0-RBCS is a non-deterministic polynomial-time (NP)-hard combinatorial problem that uses sparse regularization with L0-norm for regression analysis under the constraint of maximum zero elements for a source signal. Sparse regularization with L1-norm performs both variable selection and regularization, a technique to reduce errors and prevent overfitting. The commonly employed L1-RBCS method including the least absolute shrinkage and selector operator (LASSO) uses a computationally easier but less accurate form of sparse regularization, which approaches compressed sensing through approximation.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that the Physics of Quantum Electronics (PQE) Conference has named Yoshihisa Yamamoto, NTT Research Physics & Informatics (PHI) Lab Director and Emeritus Professor of Applied Physics and Electrical Engineering at Stanford University, one of the three winners of the Willis E. Lamb Award for Laser Science and Quantum Optics. The award was presented on January 12 at the PQE-2022 Winter Colloquium in Snowbird, Utah.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that scientists from the NTT Research Physics & Informatics (PHI) Lab and Tokyo Institute of Technology (Tokyo Tech) have presented a new algorithm that successfully combines amplitude control feedback and Zeeman terms to overcome inherent limits of a Coherent Ising Machine (CIM) and enhance its potential to solve a wide range of optimization problems. This joint research between Tokyo Tech and NTT Research, published as an article in Communications Physics on June 15, 2022, grew out of a joint research agreement pairing the PHI Lab with the laboratory of Dr. Toru Aonishi. Co-authors of this article include Dr. Aonishi and Mr. Mastiyage Don Sudeera Hasaranga Gunathilaka, both of Tokyo Tech; PHI Lab researchers Dr. Yoshitaka Inui (corresponding author) and Dr. Satoshi Kako; and PHI Lab Director Yoshihisa Yamamoto, who is also affiliated with the E. L. Ginzton Laboratory at Stanford University.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that in the first eight months of 2021, its Physics & Informatics (PHI) Lab has gained six new scientists. These include Senior Research Scientists Adil Gangat and Sho Sugiura; Research Scientists Thibault Chervy, Edwin Ng, and Gautam Reddy; and Post-doctoral Fellow Yonghwi Kim. These additions bring the total number of PHI Lab scientists to 18, including PHI Lab Director Yoshihisa Yamamoto, generating further momentum to this group as NTT Research begins its third year of operations.

NTT Laboratories and NTT Research, Inc., a division of NTT (TYO:9432), today announced that its researchers, including members of its Human Informatics (HI) Labs, Computer & Data Science (CD) Labs, Communication Science (CS) Labs and NTT Research’s Cryptography & Information Security (CIS) Lab authored or co-authored seven papers that have been accepted for presentation at NeurIPS (Neural Information Processing Systems) 2022, one of the leading international conferences on AI and ML. Four additional papers from scientists in NTT Research’s CIS Lab and Physics & Informatics (PHI) Lab were accepted for related workshops. The first week of this year’s event will take place in New Orleans, followed by a virtual component during the second week, spanning from November 28th through December 9th.

NTT Research, Inc., a division of NTT (TYO:9432), today officially unveiled its brand new hybrid-remote smart workspace in Sunnyvale, Calif. Named the NTT OneVision Center, it is one of the first office buildings in Silicon Valley built for a post-pandemic vision of the workplace, with collaboration-focused spaces, state-of-the-art health monitoring capabilities, and new layouts. The building, currently accessible only to a limited number of employees, is now fully open. This decision was made in accordance with Santa Clara County official standards for reopening businesses across the region in light of ongoing COVID-19 guidelines.

NTT Research, Inc., a division of NTT (TYO:9432), today 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. The directing investigator at NTT Research is Dr. Tetsuhiko Teshima, a research scientist at the MEI Lab and visiting researcher in the Neuroelectrical Group within the Munich School of BioEngineering at the Technical University of Munich (TUM). NTT Research has also added a new research scientist to the MEI Lab staff, Mr. Ryoma Ishii, an expert in organ-on-chip science and technology, who is also a visiting scientist at Harvard and will be serving as another investigator on the project, along with MEI Lab Director Joe Alexander, M.D., Ph.D.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that members of its Cryptography & Information Security (CIS) Lab authored or co-authored 18 papers that are being delivered at Crypto 2021, one of the leading international conferences on cryptologic research. Organized by the International Association for Cryptologic Research (IACR), this year’s event will take place virtually August 16-20 and feature 2 invited talks, 26 sessions and more than 100 papers. The proceedings of Crypto 2021, the 41st Annual International Cryptology Conference, will be published by Springer in its Lecture Notes in Computer Science (LNCS) series. NTT Research is one of two gold-level sponsors of this year’s event.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that the collaboration between its Medical & Health Informatics (MEI) Lab and the Technical University of Munich (TUM) has produced a novel technique for closed-loop control of innervated tissue of a live insect. The results were published on June 27 in Scientific Reports, part of the Nature portfolio, in an article titled “In vivo closed-loop control of a locust’s leg using nerve stimulation.” The paper’s co-authors are affiliated with the MEI Lab, the Neuroelectronics Group within TUM’s Munich Institute of Biomedical Engineering (MIBE) and TUM’s Chair of Zoology. Professor Bernhard Wolfrum leads the Neuroelectronics Group. The article describes implantable electrodes that stimulate an extensor motor nerve in an insect, Locusta migratoria, using a closed circuit of feedback control. The paper’s lead author is Francisco Zurita, a Ph.D. candidate at TUM, who is one of the team members contributing to NTT Research’s project. This work is part of a joint research program between TUM and NTT Research.

NTT Research, Inc., a division of NTT (TYO:9432), and other NTT companies today unveiled a global initiative calling for multiple stakeholders to rethink the importance of Health and Wellbeing at every level. The campaign will offer ideas and a set of resources over the coming year designed to help governments, communities and organizations reexamine their approach to personal health, mental health, social health, worker wellness and equitable access to support a more sustainable future.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that a scientist from its Cryptography and Information Security (CIS) Lab and a colleague from the NTT Social Informatics Laboratories (SIL) have written a pathbreaking paper on quantum advantage. The paper was selected to be presented at the annual IEEE Symposium on Foundations of Computer Science (FOCS), which is taking place Oct. 31–Nov. 3 in Denver. The co-authors of the paper, titled “Verifiable Quantum Advantage without Structure,” are Dr. Takashi Yamakawa, distinguished researcher at NTT SIL and Dr. Mark Zhandry, senior scientist in the NTT Research CIS Lab. The work was done in part at Princeton University, where Dr. Yamakawa was a visiting research scholar and Dr. Zhandry also serves as an assistant professor of computer science.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has named Dr. Sanjam Garg a Senior Scientist in its Cryptography & Information Security (CIS) Lab. Dr. Garg is an Associate Professor in the department of Electrical Engineering and Computer Science at the University of California, Berkeley. Dr. Garg received his Ph.D. from the University of California, Los Angeles, in 2013. His research has been recognized with best paper awards at Eurocrypt 2013, Crypto 2017 and Eurocrypt 2018. Five of his co-authored papers have been recognized as journal-invited papers, most recently “Candidate iO [indistinguishability obfuscation] from Homomorphic Encryption Schemes,” at Eurocrypt 2020.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that its Medical & Health Informatics (MEI) Lab has delivered a paper proposing a system design for optimizing drug infusions for acute heart failure and has begun testing out the design at Japan’s National Cerebral and Cardiovascular Center (NCVC). Lead author and MEI Lab Research Scientist Yasuyuki Kataoka presented the paper at the IEEE Engineering in Medicine and Biology (EMB) 2022 conference, held July 11–15 in Glasgow. Titled “System Design for Optimizing Drug Infusions Using Cardiovascular Space Mapping for Acute Heart Failure,” the paper proposes a system that controls cardiovascular (CV) performance metrics within desired ranges as dictated by CV parameters. Setting parameters to realistic values in 5,600 simulated patients, this study showed that the optimized drug combinations and dosages kept CV metrics within desired ranges, corresponded to the recommended clinical use guidelines and were able to predict the limitations of a tailored drug therapy, thus supporting a clinical decision to pivot quickly to alternative treatment strategies. With the support of NCVC collaborators well trained in animal research, the MEI Lab team subsequently tested the control algorithm for a small library of drugs and obtained data demonstrating the algorithm’s proof-of-concept, setting the stage for future autonomous closed-loop treatment experiments. Drug therapy optimization is a major focus for the MEI Lab’s CV bio digital twin initiative, which is aimed at developing the infrastructure for a digital replica of an individual’s heart.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has named Matthew Ireland Chief Information Security Officer (CISO). Most recently a consulting Practice Manager and Executive Security Strategist at NTT Ltd., Ireland is a technology leader with management experience in security services, consulting, financial services, healthcare, manufacturing, law enforcement and emergency services and three decades of technical experience in information security, IT systems, networks and enterprise operations. He joined NTT in 2016 and served as a virtual (v)CISO for NTT Research beginning in September 2019. Ireland joined NTT Research full-time in March 2021. In this role, he will be responsible for information security, privacy, risk, compliance, physical security, incident response and some aspects of workplace safety.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has named Dr. Brent Waters as Director of its Cryptography and Information Security (CIS) Lab. Dr. Waters joined NTT Research in 2019 as Distinguished Scientist and has been instrumental in building the CIS Lab into one of the world’s premier cryptography organizations. Dr. Waters, who is also a professor in the Department of Computer Science at the University of Texas at Austin, was the 2015 recipient of the Association for Computing Machinery (ACM) Grace Murray Hopper Award and is recognized as a founder of Functional Encryption and Attribute-based Encryption. He assumed his new role on June 1, 2022, succeeding Dr. Tatsuaki Okamoto, the CIS Lab’s first director, whose contributions to the field of cryptography include hundreds of academic articles and service as president of the Japan Society for Industrial and Applied Mathematics (JSIAM) and director of the International Association of Cryptology Research (IACR).

NTT Research, Inc., a subsidiary of NTT (TYO: 9432), today announced that two scientists from the NTT Research Cryptography & Information Security (CIS) Lab and NTT Social Informatics Laboratories have written papers selected to be presented at the annual IEEE Symposium on Foundations of Computer Science (FOCS). The FOCS Symposium (FOCS 2021) is taking place virtually, Feb. 7-10, 2022. Event organizers have scheduled 118 presentations over the four-day program. The two papers associated with NTT scientists address aspects of challenges that quantum computing poses to cryptographic systems. One paper, titled “Post-Quantum Succinct Arguments: Breaking the Quantum Rewinding Barrier,” is co-authored by NTT Research CIS Lab Senior Scientist and Princeton University Assistant Professor Mark Zhandry; the other, “On the Impossibility of Post-Quantum Black-Box Zero-Knowledge in Constant Rounds,” is co-authored by Takashi Yamakawa, Researcher, NTT Social Informatics Laboratories. These papers are being presented back-to-back on Feb 7, 2022, Day 1 of the event, at 9:00 am and 9:25 am ET, respectively.

NTT Research, Inc., a subsidiary of NTT (TYO:9432), and Cornell University today announced that scientists representing their organizations have introduced an algorithm that applies deep neural network training to controllable physical systems and have demonstrated its implementation on three types of unconventional hardware. The team released its findings in an article titled “Deep physical neural networks trained with backpropagation,” published on January 26 in Nature, one of the world’s most cited scientific journals. The paper’s co-lead authors are Logan Wright and Tatsuhiro Onodera. Both are research scientists at the NTT Research Physics and Informatics (PHI) Lab and NTT Research visiting scientists in the School of Applied and Engineering Physics at Cornell. The project’s leader, Peter McMahon, assistant professor of Applied and Engineering Physics at Cornell, was one of five other co-authors of this paper. The paper offers an approach to deep learning not constrained by existing energy requirements and other limits to scalability.

NTT Research, Inc. and NTT R&D, divisions of NTT Corp. (TYO:9432), today announced that 11 papers co-authored by researchers from several of their laboratories were selected for presentation at NeurIPS 2021, the 35th annual conference of the Neural Information Processing Systems Foundation. Taking place from Dec. 6 to Dec. 14, scientists from the NTT Research Physics & Informatics (PHI) Lab and Cryptography & Information Security (CIS) Lab are presenting four papers. Scientists from NTT Corp’s Computer and Data Science (CD), Human Informatics (HI), Social Informatics (SI) and Communication Science (CS) Labs are presenting seven papers.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that scientists affiliated with its Medical & Health Informatics (MEI) Lab and the Technical University of Munich (TUM) have written a paper on the design and capabilities of 3D-printable, transformable materials that inflict reduced damage on target tissue and exhibit enhanced functionality. Four of the eight co-authors are identified with both the MEI Lab and the Munich Institute for Biomedical Engineering (MIBE, formerly Munich School of BioEngineering) at TUM. The paper appears in the June 2021 issue of Advanced Materials Technologies.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that members of its Cryptography & Information Security (CIS) Lab and of the NTT Social Informatics Laboratories co-authored 10 papers that are being presented at Eurocrypt 2021, one of three flagship conferences organized by the International Association for Cryptologic Research (IACR). This year’s event will occur virtually and in person October 18­­–21 and features 13 sessions, 78 papers and 2 invited talks. This year’s physical event will take place at The Westin Zagreb, in Zagreb, Croatia. The proceedings of Eurocrypt 2021, the 40th Annual International Conference on the Theory and Applications of Cryptographic Techniques, will be published in Springer's Lecture Notes in Computer Science (LNCS) series.

NTT Research, Inc., a division of NTT (TYO:9432), today announced plans to hold Upgrade 2021, the NTT Research Summit, as a virtual and in-person event on September 20-21. This year’s summit, organized under the theme “Spark Curiosity,” opens on September 20 at 12:00 pm (PDT). Day 1 of the summit features three demos, one panel discussion and three talks. The lineup on Day 2 includes 24 half-hour talks focusing on areas related to ongoing work at the organization’s Physics & Informatics (PHI) Lab, Cryptography & Information Security (CIS) Lab and Medical & Health Informatics (MEI) Lab. The in-person event will take place at the new NTT Group office in Sunnyvale, CA.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has entered a joint research agreement with The University of Tokyo’s International Research Center for Neurointelligence (IRCN) to develop Coherent Ising Machine (CIM)-related technologies. The agreement calls for the two research organizations to develop new numerical tools and a simulator for the CIM, an information processing platform based on photonic oscillator networks. The principal investigator (PI) for the three-and-a-half year research project is IRCN Deputy Director Kazuyuki Aihara, a University Professor at the University of Tokyo and expert in the mathematical modeling of complex systems and applications to neurointelligence. His counterpart at NTT Research is Physics & Informatics (PHI) Lab Senior Research Scientist Dr. Satoshi Kako, whose research is focused on the potential capability and application of coherent network computing.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has named Joe Alexander, M.D., Ph.D., as Director of the Medical & Health Informatics (MEI) Lab. Dr. Alexander has served as Distinguished Scientist in the MEI Lab since February 2020. He succeeds Dr. Hitonobu Tomoike, who assumes the position of Research Professor at the NTT Basic Research Lab in Japan. In his new position, Dr. Tomoike will continue advising NTT’s overall medical research activities. Dr. Alexander, who assumed his additional role on June 1, 2021, joined NTT Research with an academic and pharmaceutical industry background to lead the MEI Lab’s bio digital twin initiative, which is focused initially on the cardiovascular (CV) system. He will continue to direct the CV bio digital twin group while harmonizing other MEI Lab projects within an overarching strategy that aligns with NTT Research and the broader NTT Group.

NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has entered into a joint research agreement with Tokyo Institute of Technology (Tokyo Tech) to develop applications for the Coherent Ising Machine (CIM). The two targeted applications for the CIM, an information processing platform based on quantum oscillator networks, are compressed sensing and drug discovery, both of which require extremely high levels of processing on existing computers. Two agreements, signed in 2020, call for collaboration between NTT Research’s Physics & Informatics (PHI) Lab and independent research groups in Tokyo Tech’s School of Computing, directed by Drs. Yukata Akiyama and Toru Aonishi. NTT Research will lead the five-year project, which will involve approximately ten researchers working in Tokyo and Sunnyvale.