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Research News

2018

Jun. 2018

May. 2018

  • 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.

Apr. 2018

  • 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.

Mar. 2018

Feb. 2018

  • 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.