For Really Low Power Neural Networks Try Spiking Neural Networks
Spiking neural networks (SNN), also known as neuromorphic computing, are one way to implement artificial intelligence/machine learning models. It has significant advantages over the more popular digital deep neural networks (DNN) like convolutional neural networks (CNN), including very low power operation.
Innatera’s CEO, Sumeet Kumar, taks about how the company's new, ultra low power microcontroller can provide always-on (AON) SNN support in battery power- or energy harvesting-based applications.
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Defining a Software Defined Vehicles
Siemens provides a wide range of design tools for developing hardware and software including ones targeted at software defined vehicles (SDVs). In this episode, David Fritz, Vice President of Hybrid and Virtual Systems at Siemens, talks about SDV and the need for advanced tools and simulation support to meet the safety requirements while providing the functionality of higher SAE levels.
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Sounding Out Cool MEMS Technology
Piezoelectric-based MEMS have been used for sensors, but they can also be used as actuators to do things like move air and fluids. One thing that can be done is to implement a tiny speaker using this technology.
In this episode, xMEMS Labs’ Vice President of Marketing and Business Development, Mike Housholder, talks about his company's device. You can also watch the demos in our video, Making MEMS Move Air and Fluids for Fun and Cooling.
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Time Sensitive Networking and Industrial Systems
This is the first of a series of Inside Electronic podcasts addressing time sensitive networking (TSN). TSN is a set of IEEE 802.1 standards managed by the TSN Task Group. In this episode, Dave Cavalcanti, Principal Engineer at the Edge Computing Group at Intel and President of Avnu Alliance. He talks about TSN in general as well as important issues like interoperability that this common standard provides.
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Introduction to SNIA Storage.AI
Supporting artificial intelligence's (AI) insatiable need for compute and storage is why SNIA put together the Storage.AI project. This webinar introduces the project's goals and the standards it will encompass.
Storage.AI will help deliver efficient data services related to AI workloads. How AI workloads utilize storage impacts cost, power, and performance. This discussion touches on the urgent problems in data services, especially around how storage interacts with compute.
Electronic Design has been serving the engineering community with pride for decades, providing news, commentary, and interviews about the industry. Hosted by industry veteran Alix Paultre, the Inside Electronics podcast brings you commentary, news, and interviews about the things going on in the electronic design engineering community and its surrounding business ecosystem.
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