• Research News
Research News

Research News

202120202019 | 2018  | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011

*The information and links in the topics is current on the date of announcement, but is subject to change without prior notice.

15 Sep, 2021
TOKYO─Toshiba Corporation (TOKYO: 6502) has developed the world’s most versatile and accurate Visual Question Answering (VQA) AI, able to recognize not only people and objects, but also colors, shapes, appearances and background details in images. The AI overcomes the long-standing difficulty of answering questions on the positioning and appearance of people and objects, and has the ability to learn information required to handle a wide range of questions and answers. It can be applied to a wide range of purposes without any need for customization.
10 Sep, 2021
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.
20 Aug, 2021
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
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
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
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
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 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
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
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
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
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
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
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
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.