Corporate Research & Development Center
Research News
2018
- Toshiba's Compaction Technology for Deep Neural Networks Opens Way to High Accuracy Recognition Processing on Edge Devices (17 Dec, 2018) TOKYO─Toshiba Corporation (TOKYO:6502) and the Institute of Physical and Chemical Research (RIKEN) have developed technology for compacting deep neural networks (DNN) obtained by deep learning. The technology reduces the parameter yielded resulting from the learning process by 80% while maintaining DNN performance, and opens the way to implementing highly accurate recognition processes for speech and images and the like on edge devices.
- Toshiba's
Highly Explanatory AI Uses Normal Waveform Data to Learn and Detect Equipment Anomalies
-improves utilization rates of factory and social infrastructure plant and reduce maintenance costs- (13 Dec, 2018) TOKYO─Toshiba Corporation (TOKYO: 6502) has applied machine learning (AI) to the problem of detecting anomalies that cause downtime in manufacturing facilities and social infrastructure, and developed a system, "One-Class Learning Time-series Shapelets (OCLTS)," that is 9% more accurate than current approaches and that provides a firm basis for identifying potential problems. OCLTS will improve the accuracy of anomaly detection in industrial equipment, and provide an explanatory basis for determining causes. Once deployed, it will contribute to higher equipment utilization rates and lower maintenance costs.
- Toshiba's AI
Breakthrough for Edge Devices Uses Both Short-Term and Long-Term Memory to Deliver Highly
Precise Predictions
-Improves capacity utilization of plant and equipment and social infrastructure, reduces maintenance costs- (12 Dec, 2018) The great promise of IoT in the industrial sector is improved productivity and efficiency from increased capacity utilization, fewer equipment malfunctions, and lower maintenance costs. Toshiba Corporation (Tokyo: 6502) is realizing this with OPOSSAM, its newly developed "Online Prediction Method of Stream Data with Self-Adaptive Memory." A major advance in AI for edge devices, OPOSSAM continuously harvests real time data streams from numerous sensors installed in production systems and social infrastructure, and delivers highly accurate predictions of future system status and of the need for and timing of maintenance.
- NEDO and
Toshiba Develops World's Largest Film-based Perovskite Photovoltaic Module
-703cm2 module achieves 11.7% power conversion efficiency- (18 Jun. 2018) New Energy and Industrial Technology Development Organization (NEDO) and Toshiba Corporation (TOKYO: 6502) have developed the world's largest film-based perovskite photovoltaic module. The module is 703cm2 and realizes a power conversion efficiency (PCE) of 11.7%, overcoming the difficulties of increasing size and efficiency at the same time. The module was realized with meniscus printing technology owned by Toshiba and a newly developed printing process.
- Toshiba Develops Mutual Authentication Technology for IoT Devices by PUF Fingerprinting Using Variations in Semiconductor Chips (14 Jun. 2018) Toshiba has developed technology that makes it easy to implement physically unclonable functions (PUFs) by using the variations in output from field programmable gate arrays (FPGAs) as the chip fingerprint (ID). The technology realizes mutual authentication between robots and IoT devices.
- Toshiba
Develops's Simple, Low-Cost Testing Method for Phthalate Esters
-Highly Accurate Screening to Detect RoHS Newly Added Substance- (7 Jun. 2018) Toshiba has developed a simple, low-cost testing method for the phthalate esters that are being added to the European Restriction of Hazardous Substances Directive (RoHS). The new technique uses simple equipment and procedures to keep testing costs low, but nonetheless achieves high separation and accuracy that allows restricted substances to be distinguished from other substances. Details of the method will be presented on 22 May at the Symposium on Environmental Chemistry, in Okinawa, Japan.
- Toshiba
Redefines the Limit of Intercity Secure Communications (23 May. 2018)
Twin-Field QKD allows secure quantum key distribution over 500 km of optical fibre
Cambridge, UK, 2 May 2018: The Cambridge Research Laboratory of Toshiba Research Europe Ltd today announced that it has devised a new protocol for quantum key distribution (QKD) that will extend its range to over 500 km of standard telecom fibre. This advance, called Twin-Field QKD, enables the protection of sensitive data transmitted in optical networks between cities. It would allow a secure link between cities like London, Paris, Brussels, Amsterdam or Dublin. The details of the breakthrough are published today in the scientific journal, Nature.
- Toshiba's New
AI-based Virtual Assistant Technology Provides
Rating-Based Recommendations in Natural Dialogues (20 Apr. 2018) Toshiba has developed an AI-based virtual assistant technology for shopping centers and similar venues that adapts the guidance it offers to reflect the latest available information on stores and products. The virtual assistant dynamically changes the content of the dialogues it generates to provide guidance that matches criteria and rating defined by the system operator. It gives users recommendations about shops, merchandise and the like, displaying dialogues quickly, in natural language, and allows the operator to efficiently provide daily updates about things like new products, sales, and special offers. Users get the benefit of up-to-date results that match their expressed interests and intentions. The new technology was demonstrated at "Interaction 2018" conference (5-7 March 2018), a venue for researchers into human-computer interactions.
- Toshiba’s New Circuit Technology Realizes Long-Range and High Resolution LiDAR(Light Detection and Ranging) for Reliable Self-Driving Vehicles (5 Mar. 2018) TOKYO—Toshiba Corporation (TOKYO: 6502) has developed a new circuit technology for an automotive LiDAR which enables long-range distance measurement while capturing high quality 3D images, securing a major advance in a technology essential for self-driving vehicles. The developed LiDAR using the proposed circuit achieves a measurement range of 200m*1, which is world's highest and twice than that of conventional automobile LiDARs.
- Toshiba Develops Ultra-low-power Analog AI Accelerator Chip for Embedded Systems (9 Feb. 2018) Toshiba has developed an ultra-low-power analog AI accelerator chip for embedded systems. This technology realizes multiply-accumulate operation—which accounts for the majority of neural network operations—using only one-eighth the power of current digital circuits. This chip will accelerate the introduction of AI technologies into embedded devices that operate on battery power, energy harvesting, or remote wireless power, which has been difficult until now.