The Kria K26 adaptive system-on-module (SOM) from Xilinx is a production-ready embedded board for rapid deployment of edge-based applications. Aimed at vision AI applications in smart cities and smart ...
An integrated eIQ Neutron neural processing unit (NPU) will deliver 2 TOPS (8 eTOPS) of AI acceleration. Included is a ...
New production-ready 16x16 direct-RF sampling module with 6 GHz analog bandwidth features the highly successful Xilinx UltraScale+ RFSoC Gen3 device DC Velocity Staff ...
Based on NXP’s i.MX 93 processor, the VAR-SOM-MX93 system-on-module (SoM) from Variscite offers machine learning acceleration for edge computing. The i.MX 93 applications processor integrates a ...
SAN JOSE, Calif.--(BUSINESS WIRE)--SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced its first system-on-module (SoM) featuring the MLSoC ...
The need for machine vision is growing across a range of applications, including security, traffic and city cameras, retail analytics, automated inspection, process control, and vision-guided robotics ...
Toradex Verdin System on Module with NXP i.MX 8M Plus - Now Shipping Toradex is extending its successful Verdin System on Module (SoM) Family with modules featuring the NXP® i.MX 8M Plus applications ...
Vision is one of the hottest area for AI development because vision can or will be used for a wide variety of consumer and industrial applications. Everything from security systems and retail ...
TEL AVIV, Israel--(BUSINESS WIRE)--Variscite, a leading worldwide System on Module (SoM) designer, developer and manufacturer, today announced the release of the VAR-SOM-AM62P. This cost-optimized SoM ...
Xilinx’s Zynq family has been an extremely successful system-on-chip (SoC) FPGA solution. However, as with many FPGA platforms, using this flexible solution can be especially tough when it comes to ...
Elma Electronic released the JetSys-2010 industrial-grade, rugged, small-form-factor (SFF) platform for AI inference computing, facilitating the ability to develop high-performance computing systems ...
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