The push is on to add internet capability to everything, and the challenge for design engineers is to figure out how to power each of these IoT nodes. If there is an AC power line or conventional long-life battery available, the decision is greatly simplified, of course. But such power is unavailable in many cases, and energy harvesting can look like an attractive, free, no-headache alternative. However, there are many facets and limitations with this type of “free” energy, beyond the initial component cost. First, before even looking at harvesting as an option, it’s critical to put together a power budget. How much current and voltage will the IoT node need? What power is needed at each phase of operation? To get all of the answers to your power questions and to discover the latest green solutions, visit Avnet.com.
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Extend system longevity with Xeon-based industrial engines
Industrial designers have long been handicapped by the longevity challenge, struggling to pair server-class...
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Energy consumption in modern microcontroller systems, part three: The impact of operating temperature on energy consumption
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MVTec brings deep learning to NVIDIA Pascal architecture
The deep learning inference in the new version 17.12 of the HALCON machine vision software was tested on NVIDIA Jetson TX2 boards based on 64-bit Arm processors.
Atollic acquired by STMicro
The Eclipse-based TrueSTUDIO IDE targets ARM Cortex-M-based microcontrollers (MCUs), and will strengthen the development ecosystem around ST’s 32-bit STM32 family of MCUs.
The Khronos Group Releases Finalized SYCL 1.2.1
Enhanced support for machine learning, TensorFlow acceleration, and C++17 alignment
New ARBOR 3.5 inch Compact Board with 6th Generation Intel Core Processors
Based on the new Intel(r) 6th Generation Core(tm) processors (formerly codenamed "Skylake-H") and Intel(r) QM170 Platform Control Hub.
Leti Integrates Hybrid III-V Silicon Lasers on 200mm Wafers Using Standard CMOS Process
Leti, a research institute of CEA Tech, has integrated hybrid III-V silicon lasers on 200mm wafers using standard CMOS process flow. This breakthrough shows the way to transitioning away from...
Compact Skylake-powered embedded computer consumes just 15 W
VersaLogic has released the Condor, a high-performance embedded computer that measures just 95 by 95 by 37 mm and is built around Intel’s 6th generation Skylake Core processor.
Amazon FreeRTOS supported by 32-bit Microchip PIC MCUs
The integration of Amazon FreeRTOS with PIC32MZ EF MCUs provides access to software libraries that simplify connecting to local gateways or the cloud.
Codasip releases 64-bit RISC-V processor
Bk5-64 processors are generated using the Codasip Studio customization tool that allows for fast core configuration and optimization.
Inside Secure releases RISC-V root-of-trust engine
The Programmable Root-of-Trust Engine is a fully integrated, open, and programmable IP block that provides a secure data region within RISC-V system on chips (SoCs).
TARDIS, hardware emulation, and Arm’s Bill Neifert
Hardware emulation is a newcomer compared to the Doctor Who series, arriving on the scene in the 1980s versus a staple of BBC television that began in 1963. Nonetheless, it’s as popular some circles.
Imperas releases RISC-V Processor Developer Suite
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'Ask Avnet' Intelligent Agent Now Available on Avnet.com in the Americas
First digital platform for technology distribution provides single point of contact for Avnet ecosystem; adds Engineer on Demand service
Vecow Launches The First Fanless Embedded GPU Computing System In The Market
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Reduced Energy Microsystems Joins RISC-V Foundation
Reduced Energy Microsystems has joined the non-profit RISC-V Foundation to contribute to the architecture of the future.
SiFive Advances Custom Silicon Industry with New Partnerships, Products at 7th RISC-V Workshop
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Minima Processor Reduces SoC Energy Consumption for Near-Threshold Voltage Design
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Using Virtualization to Empower IoT Network Infrastructure
Network functions virtualization (NFV) is an open, software-based approach to building and deploying elastic networks for addressing IoT communications infrastructure needs.
EnSilica's RADAR Imaging Co-processor addresses problem of automotive data overload to accelerate development of self-drive cars