SynSense Research Head Talks Combined Sensing, Processing

EE Times Current · 17 May 2024 · 46m

What this episode covers

Dr. Dylan Muir, VP of Global Research at SynSense, explains the company's strategy of commercializing neuromorphic hardware through inference-only chips like Speck and Xylo to minimize silicon area and cost. He details the design choices behind these products, including the asynchronous digital architecture of Speck for event-based vision and the synchronous design of Xylo for temporal signals, alongside the Rockpool software toolchain that enables machine learning engineers to deploy spiking neural networks. The episode also covers SynSense's recent acquisition of IniVation to integrate DVS sensors with its processing chips, and features commentary from Prof. Ralph Etienne-Cummings and Dr. Giulia D’Angelo on the competitive landscape involving Prophesee and Brainchip.

Other shows on the same ground, closest first.

  • Oxide and Friends · 1h 31m

    AI Disruption: DeepSeek and Cerebras

    Andy Hock and James Wang of Cerebras discuss how their wafer-scale silicon executes open-weight models like DeepSeek R1 Distill Llama 70B faster than any number of GPUs, achieving 57x speedup by keeping all 44GB of model weights in on-chip SRAM. They explain that the release of efficient, open models like DeepSeek and Llama transformed Cerebras from an exotic supercomputer vendor into a provider of commodity inference APIs, standardizing the unit of sale as tokens. The guests highlight that hardware-software codesign and the shift toward reasoning models allow smaller teams to compete with well-funded incumbents by optimizing algorithms for specific architectures rather than relying on brute-force scaling.

  • The Amp Hour · 1h 09m

    The RP1 and beyond with the Raspberry Pi Hardware team

    James Adams (CTO) and Liam Fraser (Hardware/Software Engineer) from Raspberry Pi discuss the development of the RP1 custom silicon, the success of the RP2040 microcontroller, and the architecture of the Raspberry Pi 5. They explain how RP1 acts as a Southbridge/chiplet to offload I/O functions from the main Broadcom SoC, allowing for cost and complexity reductions as process nodes shrink. The conversation covers their internal chip design tooling, sourcing strategies during the chip shortage, and the rationale for sticking with ARM over RISC-V.

  • Embedded.fm · 1h 24m

    497: Everyone Likes Tiny

    Kwabena Agyeman, President and Co-Founder of OpenMV, discusses the launch of two new programmable camera systems, the OpenMV Cam N6 and the OpenMV AE3, via a Kickstarter campaign. He explains how integrating Neural Processing Units (NPUs) and Arm Helium SIMD instructions enables high-performance computer vision and edge AI on microcontrollers, achieving significant speedups while maintaining ultra-low power consumption. Agyeman details the software ecosystem, including MicroPython, TensorFlow Lite for Microcontrollers, and partnerships with Edge Impulse and Roboflow, which simplify model training and deployment for embedded developers.

  • The Next Byte Podcast · 23m

    110. The Future of Neurology: Neural Interfaces Countering Neural Diseases

    Hosts Daniel and Forbode discuss NeuralTree, a neurochip developed by researchers at EPFL (École Polytechnique Fédérale de Lausanne) designed to detect and counter neural disorders like epilepsy and Parkinson's disease. The chip features 256 input channels, an area of 3.5 square millimeters, and an energy-aware machine learning algorithm that allows it to operate efficiently on the edge without cloud dependency. The hosts highlight the device's ability to distinguish between healthy and irregular neural impulses, its potential for self-evolving algorithms to adapt to changing brain signals, and its broader implications for neurological research and treatment.

  • IoT For All Podcast · 19m

    The Evolution of AI in IoT | BrainChip's Nandan Nayampally | Internet of Things Podcast

    Nandan Nayampally, CMO at BrainChip, discusses the evolution of AIoT and the shift of AI processing from the cloud to the edge. He explains how neuromorphic computing enables real-time, private, and efficient inference on billions of devices, citing PwC's $15 trillion GDP impact estimate. Nayampally highlights key adoption markets like healthcare, agriculture, and infrastructure, and advises companies to focus on solving acute pain points ('headaches') rather than nice-to-have features ('vitamins') to gain traction.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by EE Times Current. The episode itself belongs to its publisher.