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.
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.
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.
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.
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.
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.
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.
TOKYO―Toshiba Corporation (TOKYO: 6502) has developed a new magnetic material with characteristics that deliver major improvements in motor efficiency at minimum cost, and with the potential to win significant reductions in power consumption, necessary toward achieving a low-carbon future.
Toshiba Energy Systems & Solutions Corporation ,Toshiba Corporation, Toyo Engineering Corporation, Idemitsu Kosan Co.,Ltd. , All Nippon Airways Co., Ltd. and Japan CCS Co., Ltd. have reached an agreement to begin reviewing recycling business models for reuse of CO2 from sources such as exhaust gases into Sustainable Aviation Fuel (SAF) via Power-to-Chemicals (P2C) processes, using technologies developed by Toshiba Corporate Research & Development Center which convert carbon dioxide (CO2) to carbon monoxide (CO) through electrolysis.
TOKYO―Toshiba Corporation (TOKYO: 6502) has developed AI that accurately estimates regions of randomly piled individual objects in images taken with standard, visible-light cameras. Logistics robots integrating the AI perform highly accurate unloading and picking, and in tests against a public-data set the AI recorded the world’s best performance in respect of low measurement errors. Because it uses images from a standard camera, the AI has a much shorter learning process than AI based on three-dimensional sensors. It also delivers easy implementation without any onsite pre-installation learning.
Tokyo, Sendai, Sayo—Using synchrotron radiation at SPring-8, large-scale synchrotron radiation facility, Toshiba Corporation (TOKYO: 6502), the Japan Synchrotron Radiation Research Institute (JASRI), and Tohoku University have succeeded in imaging the magnetization dynamics of a hard disk drive (HDD) write head for the first time ever, with a precision of one ten-billionth of a second. The method makes possible highly precise analysis of write head operations, and will accelerate the development of the next-generation write head and further increase in HDD capacity.
TOKYO--Toshiba Corporation (TOKYO: 6502) has developed a prototype aqueous rechargeable lithium-ion battery that points the way to realization of the world's first aqueous large-capacity stationary storage battery that can operate at -30°C.
TOKYO―Toshiba Corporation (TOKYO: 6502) has achieved two major advances in radio telescopes that together improve observation sensitivity, shorten observation time, allow installation in space-restricted places, and reduce power consumption. The technologies are expected to help to advance understanding of celestial bodies, including black holes.
Toshiba Corporation (TOKYO: 6502), Tohoku University Tohoku Medical Megabank Organization (ToMMo) and Tohoku University Hospital have demonstrated that quantum cryptographic communications technology can provide genomic medicine with a safe, completely secure data management environment. This was achieved by (1) developing a system which applies quantum cryptographic communications technology to clinical sequencing, and (2) using that system to safely transmit cancer genome analysis data (exome sequence data), via online expert panel attended by physicians and other experts to analyze the sequenced data (Figure 1). This is the world's first development and demonstration of a system using quantum cryptographic communication technology in the field of genomic medicine.
In a joint project that will aim to take Japan’s quantum cryptography communication technology to the world’s highest level, 12 Japanese organizations including Toshiba Corporation (TOKYO: 6502) starts research and development of a Global Quantum Cryptography Communications Network this month. The research is commissioned and supported by Japan’s Ministry of Internal Affairs and Communications (MIC), which invited proposals for a joint research collaboration in fiscal year 2020.