RRAM videos

Qualcomm Technologies has announced two new IOT chipsets, the Qualcomm QCC730M and Qualcomm QCC74xM modules. The company says that these modules are perfectly suited for IoT applications in the smart home, smart appliances and more.

The QCC730M chip is is a dual-band, micro-power Wi-Fi 4 module. Offering a dedicated 60Mhz MCU units, 640kB of SRAM and 1.5Mb  RRAM memory. The QCC730M also integrates hardware crypto accelerator, and secure boot, debug, and storage.

Israel-based RRAM developer Weebit Nano demonstrated (together with its partner, CEA-Leti) how its RRAM can provide an exciting new solution for artificial intelligence applications using spiking neural networks, at the Flash Memory Summit:

Neuromorphic computing makes it possible to emulate the brain’s natural operation. Using RRAM, this emulation is much more efficient than today’s simulations, consuming orders of magnitude less power, to allow sophisticated AI at a fraction of the power consumed by today’s systems. This is because the ReRAM (RRAM) cell has physical and functional similarities to a biological brain synapse.

Crossbar's VP of Business Development, Sylvain Dubois, demonstrates how the company's ReRAM memory can be used for artificial intelligence edge computing acceleration.

In the demonstration, the classification of license plates or face recognition is performed in only one iteration showing energy-efficient massive parallelism at deterministic performance.

Panasonic published a new video, demonstrating its new electronic shelf labels (ESL) that are batteryless and uses NFC and an E Ink display. The ESLs are powered by Panasonic's 8-bit MN101L MCUs that use 64kb RRAM memory.

Panasonic started producing the MN101L MCUs back in 2013.