Research News | Corporate Research & Development Center

10 Sep, 2021

Toshiba’s Polymer Film-Based Perovskite Large-Area Photovoltaic Module Reaches Record Power Conversion Efficiency of 15.1% -Contributing to carbon-neutrality by advancing practical application of light and flexible next-generation photovoltaic modules that can be widely installed-

TOKYO—Toshiba Corporation (TOKYO: 6502), the world-leader in development of perovskite photovoltaic for next-generation solar power generation, has developed a new coating method for the perovskite layer that boosts power conversion efficiency (PCE) to 15.1% for its 703cm2 module, the highest for any large, polymer film-based perovskite photovoltaic module. The innovative coating method for perovskite layer also greatly reduces production time and costs, contributing to a lower cost for solar power generation.

26 Aug, 2021

Toshiba, ToMMo, Tohoku University Hospital, and NICT Demonstrate the Use of Quantum Cryptography Communication and Secret Sharing Technologies for Distributed Storage of Genome Analysis Data -Contributing to safe data management in the fields of genomic research and medicine-

Toshiba Corporation, Tohoku University Tohoku Medical Megabank Organization (ToMMo), Tohoku University Hospital, and the National Institute of Information and Communications Technology (NICT) have developed a distributed storage technology that combines quantum cryptography communication and secret sharing technologies, successfully demonstrating the world’s first experimental large-scale genome analysis data backup to multiple sites. These technologies will allow data backup that prevents data leaks and tampering over long periods and are expected to contribute to safe data management in the fields of genomic research and medicine.

20 Aug, 2021

Toshiba and Riken Develop a World-class Scalable AI Technology that, After Learning, Can Adjust AI Performance and Computational Complexity According to Usage Environment -Streamlining AI development and management by standardizing AI engines that perform similar tasks in various applications-

Toshiba Corporation (President and CEO: Satoshi Tsunakawa, hereinafter: Toshiba) and the Riken National Research and Development Institute (President: Hiroshi Matsumoto, hereinafter: Riken) have developed a scalable AI, namely, a learning method that allows deployment of a trained AI to various systems with varying computational requirements with as little degradation of performance as possible. When applying this technology to image classification task, even when reducing calculations to one-third the standard amount, the decrease in detection accuracy was only 2.1% (compared with 3.9% for a conventional scalable AI), thereby achieving world-class performance.

03 Aug, 2021

New Vulnerability Assessment Tool from Toshiba and Peraton Labs Strengthens Cyber Resilience of Infrastructure -Identifies critical cyber security threats on industrial control systems-

TOKYO—Toshiba Corporation (TOKYO: 6502) and Peraton Labs today announced a new jointly-developed vulnerability assessment tool that emulates cyberattacks on industrial control systems. Dubbed Automated Attack Path Planning and Validation (A2P2V), this powerful new tool automatically generates cyberattack scenarios and simulates attacks that combine advanced offensive techniques to test and determine control system security status. It verifies results to identify security threats that need to be prioritized among the increasing number and range of cyberattacks.

11 Jun, 2021

Toshiba Looks to Expand its Solid-State LiDAR to Transportation Infrastructure Monitoring -Improved light receiving technology and robust 3D scanning with world’s smallest size-

TOKYO—Toshiba Corporation (TOKYO: 6502) today announced an updated solid-state LiDAR that achieves the world’s smallest volume, robust vibration and wind resistance while maintaining a maximum detection range of 200m, plus the highest resolution of any sensor of similar size. The upgraded performance of the new LiDAR will advance progress to autonomous driving, and also expand its application into monitoring transportation infrastructure, in such areas as early detection of road subsidence or landslides, snow cover, or falls of objects onto roads.

09 Jun, 2021

Toshiba Announces Breakthrough in Long Distance Quantum Communication -New dual band stabilisation technique cancels the problem of temperature and strain fluctuations to allow long distance quantum communication -Quantum key distribution demonstrated on fibres of record 600km length -Significant advance towards building a global quantum internet

8th June 2021, Cambridge: The Cambridge Research Laboratory of Toshiba Europe today announced the first demonstration of quantum communications over optical fibres exceeding 600 km in length. The breakthrough will enable long distance quantum-secured information transfer between metropolitan areas and is a major advance towards building the future Quantum Internet.

02 Jun, 2021

Toshiba’s Triple-Gate IGBT Power Semiconductors Cut Switching Power Losses by 40.5% -Support high efficiency power converters for electrical systems and contribute to the realization of carbon-neutral economy-

TOKYO─Toshiba Corporation (TOKYO: 6502) has developed a prototype triple-gate IGBT that reduces overall power loss by up to 40.5% when switching on and off (switching losses), the process of allowing and stopping electricity flow, in power semiconductors used to control electric power.

13 May, 2021

Toshiba and Dharma Capital’s Joint Experiment in Financial Markets to Verify the Effectiveness of a Quasi-Quantum Computer When Applied to High Frequency Trading -The world’s first attempt to verify the effectiveness of investment strategies based on optimal solutions presented by a quasi-quantum computer, Toshiba's Simulated Bifurcation Machine™-

Toshiba Corporation (President and CEO, Satoshi Tsunakawa, hereinafter “Toshiba”) and Dharma Capital. K.K. (Founder and CEO, Akiyoshi Shiotani, hereinafter “Dharma Capital”) will launch a joint project to verify the effectiveness of high frequency trading (hereinafter “HFT”) strategies for the Japanese listed stocks based on optimal solutions presented by a quasi-quantum computer, Toshiba’s Simulated Bifurcation Machine™. This is the world's first attempt to verify the effectiveness of quasi-quantum computers when they are applied to the HFT strategies in actual financial trading systems.

30 Mar, 2021

Toshiba Offers On-premises Simulated Bifurcation Machine™ for Market Trials in Japan -World’s fastest combinatorial optimization computer suitable for real-time, large-scale, complex problem-solving. Three reference blueprints to facilitate application development by users.-

TOKYO – Toshiba Corporation (TOKYO: 6502), the industry leader in solutions for large-scale combinatorial optimization problems, today announced that its Simulated Bifurcation Machine™ is now available for on-premises trial and testing in Japan. Developers, researchers, and businesses in Japan can now experience the world’s fastest, high accuracy optimization computer for complex problem-solving in real-time by requesting a trial from Toshiba Digital Solutions Corporation.

22 Mar, 2021

Toshiba’s Carbon Recycling Technology Realizes World’s Highest CO₂ Conversion Speed and Achieves Decarbonization in a Limited Space
-CO₂ electrocatalyst electrode stack technology can convert up to 1.0 ton of CO₂ a year at ambient temperatures, with an installation space the size of an envelope-

TOKYO – Toshiba Corporation (TOKYO: 6502) has developed the world’s most efficient electrocatalyst technology for converting carbon dioxide into carbon monoxide, a raw material for fuel and chemicals. The electrocatalyst has an installation area about the size of a C5 envelope, operates at room temperature, and can process up to a ton of CO₂ a year. This dramatic improvement in processing speed and conversion rate was achieved with a proprietary technology for stacking CO₂ electrocatalyst electrodes.

12 Mar, 2021

Cutting-edge Scale-Out Technology from Toshiba will Take Fintech and Logistics to New Level -Multi-chip architecture points way to continued increases in performance of Toshiba’s optimization computer. Potential to create a game-changing shift in complex financial transactions and robotics.-

TOKYO – Toshiba Corporation (TOKYO: 6502), the industry leader in solutions for large-scale optimization problems, today announced a scale-out technology that minimizes hardware limitations, an evolution of its optimization computer, the Simulation Bifurcation Machine (SBM), that supports continued increases in computing speed and scale. Toshiba expects the new SBM to be a game changer for real-world problems that require large-scale, high-speed and low-latency, such as simultaneous financial transactions involving large numbers of stock, and complex control of multiple robots. The research results were published in Nature Electronics on March 1.

04 Feb, 2021

Toshiba’s New Algorithms Quickly Deliver Highly Accurate Solutions to Complex Problems
-Breaks the limitations of classical mechanics by introducing a quasi-quantum effect Expected to accelerate complex problem-solving in finance, pharmaceuticals and logistics.-

TOKYO --Toshiba Corporation (TOKYO: 6502) and Toshiba Digital Solutions Corporation (collectively Toshiba), industry leaders in solutions for large-scale optimization problems, today announced the Ballistic Simulated Bifurcation Algorithm (bSB) and the Discrete Simulated Bifurcation Algorithm (dSB), new algorithms that far surpass the performance of Toshiba’s previous Simulated Bifurcation Algorithm (SB). The new algorithms will be applied to finding solutions to highly complex problems in areas as diverse as portfolio management, drug development and logistics management.

01 Feb, 2021

Toshiba's Inspection Information Management AI Automatically Recognizes and Manages Imaging Locations and Subject Sizes from a Single Photo
-Contributing to automation of patrol and maintenance inspection tasks in power plant facilities and work-style reforms for the “new normal”-

TOKYO―Toshiba Corporation (TOKYO: 6502) has developed inspection information management AI for equipment inspections that can recognize the location as well as any signs of deterioration in equipment, including the size of any crack, simply by analyzing a single photo taken with a general-purpose camera. The system combines two Toshiba technologies: position-recognition AI that identifies locations from images, and 3D-recognition AI that accurately estimates sizes. The new AI will contribute to the efficiency of maintenance inspections at power plants and other facilities with weak or no GPS signals.

21 Dec, 2020

Beginning Joint Verification Tests on Quantum Cryptography Technology to Enhance Cybersecurity in the Financial Sector
-Testing practicality in large-capacity and low-latency communications in stock transactions-

TOKYO—Nomura Holdings, Inc. (Representative Executive Officer and President, Kentaro Okuda, hereinafter “Nomura HD”), Nomura Securities Co., Ltd. (Representative Director and President, Toshio Morita, hereinafter “Nomura Securities”), National Institute of Information and Communications Technology (President, Hideyuki Tokuda, Ph.D. hereinafter “NICT”), Toshiba Corporation (Representative Executive Officer and President and CEO, Nobuaki Kurumatani), and NEC Corporation (President and CEO, Takashi Niino, hereinafter “NEC”) will jointly verify the effectiveness and practicality of quantum cryptography technology in order to strengthen the security of data communications and storage in the financial sector. The tests will commence in December 2020.

14 Dec, 2020

Toshiba Develops AI Technology for World-Class Accuracy in Image-Based Anomaly Detection
-Achieving high accuracy even when the appearance of the inspection target differs by imaged area or product type, and improving productivity at diverse manufacturing sites-

TOKYO―Toshiba Corporation (TOKYO: 6502) has improved detection accuracy for public data by almost 10% over conventional methods (from 69.5% to 79.1%), achieving world-best detection performance in AI for anomaly detection using images of products at manufacturing sites. The company’s proprietary deep-learning methods allow highly accurate learning from only normal data, eliminating the need for anomaly data that can be difficult to collect at manufacturing sites. Anomalies are detected with high accuracy even when the appearance of the inspection target differs by imaged location or product type (Fig. 1). This AI will help automate quality control inspection of semiconductor wafers, which is conventionally performed visually, and will contribute to improved productivity at manufacturing sites.