Search Results for : machine learning
New DART-MX93 System on Module by Variscite Brings Machine Learning to Compact, Cost-Optimized, Rugged Edge Devices
Based on NXP’s i.MX93 processor with Ethos™ neural processing unit Variscite, a leading worldwide System on Module (SoM) designer, developer and manufacturer, today announced the newest member of the DART Pin2Pin family for machine learning on edge devices at a competitive...
Continue ReadingNew Grid-EYE – 90° from Panasonic increases field of vision for Machine Learning based IR sensing
Panasonic Industry has launched a new member of its popular Grid-EYE sensor family featuring a 90° lens delivering a wider field of view (FoV) and reducing the number of sensors required to cover a given area to enable people counting and tracking applications. Privacy conscious...
Continue ReadingAvnet launches RASynBoard with onboard machine learning capabilities
The technology solutions company, Avnet, has released a new development kit called RASynBoard. This kit is specifically created to assist both hardware and software engineers in seamlessly incorporating edge artificial intelligence (AI) functions into their products, with the aim of...
Continue ReadingEoxys launches two machine learning modules for advanced IoT applications: Xeno+ Nano ML
In today's world, data is everywhere, and the need for data analysis is increasing rapidly. One of the most promising technologies to enable an intelligent analysis of data is Machine Learning (ML). Machine Learning has revolutionized many industries by helping them make sense of the...
Continue ReadingAxelera AI M.2 is the game-changing Accelerator Module in the Field of Machine Learning
As the demand for AI-based deep learning applications increases there is a demand for AI accelerators with higher processing capacity. An AI accelerator is a high-performance parallel computation machine that is specifically designed to perform tasks with the help of neural networks....
Continue ReadingVariscite Releases New System on Module for Energy-Efficient Machine Learning Edge Devices
The VAR-SOM-MX93 is based on NXP’s i.MX93 newest application processor, offers ML, power efficiency, and cost-effective advantages Variscite, a leading worldwide System on Module (SoM) designer, developer, and manufacturer, today announced new, state-of-the-art SoM for...
Continue ReadingLow-Power NXP Machine Learning Platform from IBASE
IBASE Technology Inc., a world leading provider of industrial and embedded computing solutions, has expanded its edge computer lineup by adding the rugged ISR215 that is powered by an NXP i.MX 8M Plus applications processor built using 14nm LPC FinFET process technology and reliably...
Continue ReadingSparkfun Unveils The Arducam Pico4Ml-based Machine Learning And Ai Concept Kit
SparkFun, a Colorado-based embedded electronic device manufacturer, has announced the release of the Machine Learning and AI Concept Kit, which serves as a starting point for learning the fundamentals of prediction algorithms based on historical data and inputs. With the help of this...
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