Editor's Choice


Analogue compute platform to accelerate Edge AI

27 September 2023 Editor's Choice AI & ML

To address the rapid rise of artificial intelligence (AI) computing at the edge of the network, and its associated inferencing algorithms, Intelligent Hardware Korea (IHWK) is developing a neuromorphic computing platform for neurotechnology devices and field-programmable neuromorphic devices. Microchip Technology, via its Silicon Storage Technology (SST) subsidiary, is assisting with development of this platform by providing an evaluation system for its SuperFlash memBrain neuromorphic memory solution. The solution is based on Microchip’s industry-proven non-volatile memory SuperFlash technology, and is optimised to perform vector matrix multiplication (VMM) for neural networks through an analogue in-memory compute approach.

The memBrain technology evaluation kit is designed to enable IHWK to demonstrate the absolute power efficiency of its neuromorphic computing platform for running inferencing algorithms at the edge. The end goal is to create an ultra-low-power analogue processing unit (APU) for applications such as generative AI models, autonomous cars, medical diagnosis, voice processing, security/surveillance, and commercial drones.

The final APU is expected to optimise system-level algorithms for inferencing and operate between 20-80 TeraOPS per Watt, which is currently the best performance available for a computing-in-memory solution designed for use in battery-powered devices.


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

STM releases innovative GNSS receiver
Altron Arrow Telecoms, Datacoms, Wireless, IoT
STMicroelectronics recently introduced the Teseo VI family of global navigation satellite system receivers aimed at high-volume precise positioning use cases.

Read more...
Integrated STM32WBA6 wireless microcontrollers
Altron Arrow DSP, Micros & Memory
Cost-efficient and highly integrated embedded controllers for emerging 2,4 GHz wireless applications in smart home, health, factory, and agriculture.

Read more...
Ultra-low-power MCU with FPU Arm Cortex-M33
Altron Arrow DSP, Micros & Memory
STMicroelectronics has expanded its STM32 ultra-low-power family with the launch of the STM32U3 for cost-sensitive applications in industrial, medical, and consumer electronics devices.

Read more...
Compact and powerful Bluetooth module
Altron Arrow Telecoms, Datacoms, Wireless, IoT
u-blox has introduced its ANNA-B5, a compact, powerful and secure Bluetooth LE module optimised for IoT applications.

Read more...
Accelerating AI adoption in MCU manufacturing
Editor's Choice AI & ML
To gain the value of ML functionality, designers of MCU-based devices have to adopt a new development method and accept a new type of probabilistic rather than deterministic output.

Read more...
Altron Arrow: Empowering innovation with STMicroelectronics AI processors
Altron Arrow Editor's Choice AI & ML
ST’s AI processors are not only smarter and faster, but also incredibly efficient, enabling a new wave of intelligent solutions across multiple industries.

Read more...
The superpower driving the future of low carbon electricity
Editor's Choice
Modularity is a superpower. The advantage lies in smaller units that can be built, tested, refined, adapted, improved repetitively, allowing many experimentation and learning iterations.

Read more...
Eskom’s evolution sparks hope
Editor's Choice
Eskom’s evolution has sparked hope that a large corporation can change and learn to think outside the grid.

Read more...
Precision JFET op-amp
Altron Arrow Analogue, Mixed Signal, LSI
The specifications of the ADA4620 make it optimal as a front-end amplifier in a data-acquisition system, or for a TIA circuit with high input impedance.

Read more...
Eval board for MEMS sensors
Altron Arrow DSP, Micros & Memory
ST’s STEVAL-MKI109D is an evaluation platform that allows engineers to monitor the behaviour of ST MEMS sensors and maximise the performance of new product designs, accelerating time to market.

Read more...