Weebit Nano Invited To Present To Industry Experts At Leading Memory Conference
15 October 2018 – Weebit Nano (ASX: WBT), the Israel-based semiconductor company seeking to develop and commercialise the next generation of memory technology, has been invited to deliver a one-hour plenary session at a leading tech conference in Greece later this month that is examining the ways of changing the way storage devices are used in artificial intelligence, machine learning and the Internet of Things.
Weebit’s Chief Technology Officer, Amir Regev, will share the company’s experience taking its ReRAM technology from concept to pre-productisation, and its planned pathway to full scale manufacturing as part of the MEM-Q Workshop ‘From ReRAM and Memristors to new Computing Paradigms’ in Crete on 28 – 31 October 2018.
The MEM-Q Workshop is a series of two workshops run this year by the MEM-Q Project (MEMristive nanomaterials and electronic devices for Quantum and neuromorphic computing). The MEM-Q Project brings together leading research groups with significant contributions to the contemporary stateof-the-art
of memristive materials and technologies, working on a universal approach towards the fabrication of memristors.
Commenting on Weebit’s inclusion in this highly regarded event, Coby Hanoch, CEO of Weebit Nano, said: “Weebit Nano’s progress in developing our Silicon Oxide ReRAM technology is now being recognised by both industry and academic domains. In addition to building Weebit Nano’s industry profile, we expect our participation in this conference to result in meaningful collaborative opportunities with leading researchers to create groundbreaking developments in ReRAM applications.”
A memory resistor (memristor) is the term used in the academic domain for Resistive RAM (ReRAM). It refers to a non-linear passive two-terminal electrical component considered to be the fourth fundamental electrical circuit element, in addition to the original fundamental circuit elements: resistors, capacitors and inductors. Like a resistor, it creates and maintains a safe flow of electrical current across a device, but it can also remember the last charge that was flowing through it. It differs from a regular resistor as it can "remember" charges even when there is no current or voltage present, allowing information storage even when the device is turned off.
The two workshops explore the possibility of using memristors as building blocks for quantum and neuromorphic computing, breaking the limitations of conventional computing logic (Boolean logic) and architecture (von Neumann architecture).
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