Information on Electronics & Computing Monthly September 1984...
Cloud computing technology abstract scheme eps10 vector illustration
Effective I/O line protection not only enhances project reliability but also extends the lifespan of valuable microcontroller components, contributing to the overall success of electronic designs.
Las empresas deben incorporar sistemas de dispositivos Entreprise Edge en sus marcos y Mitsubishi te da las claves a ese respecto. Más info aquí.
Xilinx XC2C256-7VQ100C ApplicationField -5G Technology -Internet of Things -Industrial Control -Medical Equipment -Wireless Technology -Artificial Intelligence -Cloud Computing -Consumer Electronics
Microchip’s new cryptographic MCU, custom firmware and provisioning service are designed to enable platforms to detect and stop malicious firmware prior to run time With the rapid growth of 5G including new cellular infrastructure, growing networks and data centers supporting expanding cloud computing, developers are seeking new ways to ensure operating systems remain secure and …
Electronics and microcontroller projects
Data-intensive computing operations, such as training neural networks, are essential for applications in artificial intelligence but are energy intensive. One solution is to develop specialized hardware onto which neural networks can be directly mapped, and arrays of memristive devices can, for example, be trained to enable parallel multiply–accumulate operations. Here we show that memcapacitive devices that exploit the principle of charge shielding can offer a highly energy-efficient approach for implementing parallel multiply–accumulate operations. We fabricate a crossbar array of 156 microscale memcapacitor devices and use it to train a neural network that could distinguish the letters ‘M’, ‘P’ and ‘I’. Modelling these arrays suggests that this approach could offer an energy efficiency of 29,600 tera-operations per second per watt, while ensuring high precision (6–8 bits). Simulations also show that the devices could potentially be scaled down to a lateral size of around 45 nm. Arrays of memcapacitor devices that work via charge shielding can be used to implement artificial neural networks and could potentially offer an energy efficiency of 29,600 tera-operations per second per watt.
Brain-inspired computing hardware aims to emulate the structure and working principles of the brain and could be used to address current limitations in artificial intelligence technologies. However, brain-inspired silicon chips are still limited in their ability to fully mimic brain function as most examples are built on digital electronic principles. Here we report an artificial intelligence hardware approach that uses adaptive reservoir computation of biological neural networks in a brain organoid. In this approach—which is termed Brainoware—computation is performed by sending and receiving information from the brain organoid using a high-density multielectrode array. By applying spatiotemporal electrical stimulation, nonlinear dynamics and fading memory properties are achieved, as well as unsupervised learning from training data by reshaping the organoid functional connectivity. We illustrate the practical potential of this technique by using it for speech recognition and nonlinear equation prediction in a reservoir computing framework. An artificial intelligence hardware approach that uses the adaptive reservoir computation of biological neural networks in a brain organoid can perform tasks such as speech recognition and nonlinear equation prediction.
Scott Aaronson, an expert in the realm of computational complexity theory and the founder of ComplexityZoo.com online encyclopedia of computational complexit...
Lanner Unveils ECA-5555 Edge Server with Intel Xeon 6 SoC for AI-Driven 5G RAN
Modular high-end Micro-ATX carrier for more sustainable and ultra-scalable COM-HPC based system designs congatec – a leading vendor of embedded and edge computing technology – enters the high-end industrial workstation and desktop client market by introducing its first modular Micro-ATX compliant carrier board with COM-HPC interface. The board is designed for embedded long-term availability of …
Feature-Rich ISL68300 and ISL68301 Deliver up to Eight Phases and More Than 240A for FPGAs, DSPs, ASICs, and Network Processors Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today announced two new PMBus™ compliant, fully digital DC/DC controllers that provide single output point-of-load (POL) conversions for FPGAs, DSPs, ASICs, network processors and …
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Electronics and microcontroller projects
Mouser Electronics, Inc., the authorized global distributor with the newest semiconductors and electronic components, is now stocking the Intel® Neural Compute Stick 2 (Intel NCS 2), the next-generation artificial intelligence (AI) inference development platform for creating smarter algorithms and prototyping computer vision products for the Internet of Things (IoT) and edge computing devices. Featuring enhanced …
Meta AI Open Sources AITemplate (AIT), A Python Framework That Transforms Deep Neural Networks Into C++ Code To Accelerate Inference Services
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Arduino Menu on a Nokia 5110 Lcd Using a Rotary Encoder: Dear friends welcome to another tutorial! In this video we are going learn how to build ourown menu for the popular Nokia 5110 LCD display, in order to make our projects more user friendly and more capable. Let’s get started! This is the project we …
