Nordic Thingy:53 gets the Edge Impulse firmware for rapid IoT prototyping
https://www.electronics-lab.com/nordic-thingy53-gets-the-edge-impulse-firmware-for-rapid-iot-prototyping/
Norwegian embedded device manufacturer Nordic Semiconductor has announced the commercial availability of Nordic Thingy:53, a new addition to the Nordic Thingy family. This multisensor prototyping hardware platform features multiple onboard sensors and robust short-range wireless connectivity for embedded machine learning applications. The hardware also comes with an embedded Edge Impulse machine learning firmware to reduce […]
BIVROST Lite5 mini-STX platform provides up to 96GB RAM for edge computing and machine vision applications
https://www.electronics-lab.com/bivrost-lite5-mini-stx-platform-provides-up-to-96gb-ram-for-edge-computing-and-machine-vision-applications/
The BIVROST Lite5 STX platform is a 5-inch mini-STX motherboard specifically designed to accommodate the increasing demands of AI/ML, edge computing, and industry 4.0 applications. Lite5 has been built to increase I/O capacity, utilize the capabilities of the unified memory architecture, and enable the ability to run 24 hours a day, seven days a week. […]
M5Stamp C3U IoT Module Incorporates RISC-V-based ESP32-C3 Microcontroller
https://www.electronics-lab.com/m5stamp-c3u-iot-module-incorporates-risc-v-based-esp32-c3-microcontroller/
Chinese electronic device manufacturer M5Stack unveiled a RISC-V powered M5Stamp C3U IoT module with advanced wireless connectivity for home and industrial automation. For the implementation of IoT projects that are subject to operate at higher temperatures of up to 230℃, the M5Stamp C3U IoT module is shipped inside a heat-resistant plastic enclosure. At the heart […]
Codasip announces two RISC-V-based embedded cores for AI/ML edge customizations
https://www.electronics-lab.com/codasip-announces-two-risc-v-based-embedded-cores-for-ai-ml-edge-customizations/
Last week, Codasip, known for edge tools and IPs, has announced RISC-V-based embedded cores for AI/ML edge customizations – L31 and L11 RISC-V processor cores. In addition to the existing low-power embedded cores, the L31 and L11 are aimed towards easing the customization process using Codasip Studio tools for deep neural network applications with low-power […]
Aspinity AnalogML Core with Neuromorphic Computing Architecture for Low-power edge processing
https://www.electronics-lab.com/aspinity-analogml-core-with-neuromorphic-computing-architecture-for-low-power-edge-processing/
Aspinity‘s analogML core features the improved capabilities of a tinyML chip with low-power analog neuromorphic computing architecture– with a system-level approach to low-power edge processing. Without making use of power-hungry digitization and digital processors, the analogML core is a fully analog inferencing solution built on the RAMP technology platform that classifies raw, unstructured sensor data […]
Energous partners with Syntiant for Wireless Charging of Always-on Edge AI Processors
https://www.electronics-lab.com/energous-partners-with-syntiant-for-wireless-charging-of-always-on-edge-ai-processors/
Wireless power network provider, Energous Corporation, has revealed its association with Syntiant, to develop Energous’ WattUp wireless power network technology with Syntiant’s Neural Decision Processors (NDPs) for edge artificial intelligence deployments across a wide range of consumer and industrial use cases. Syntiant, the California-based tech company, integrates the “most efficient silicon with a data platform […]
Intel’s Loihi 2 – Next-Generation Neuromorphic Research Chip
https://www.electronics-lab.com/intels-loihi-2-next-generation-neuromorphic-research-chip/
The shift from offline training using labeled datasets in parallel computing to learn on-the-fly through neuron firing rules in Neuromorphic Computing has significantly aided the ever-increasing demand for artificial intelligence in a range of applications. Intel’s first-generation Neuromorphic Loihi Chip was presented with self-learning capabilities, novel neuron models, and asynchronous spike-based communication. After a series […]
M5Stack UnitV2 M12 Version with Cameras at $95
https://www.electronics-lab.com/m5stack-unitv2-m12-version-with-cameras-at-95/
M5Stack has been on the market for a long time designing edge computing and IoT devices. The manufacturer is expanding a range of high-efficiency AI recognition modules to UnitV2. Recently, M5Stack has released the UnitV2 M12 version with a camera that features the Sigmastar SSD202D control core. Specially designed for AI recognition functions, industrial visual […]
Kontron AI Platform based on Google Coral Edge TPU for Artificial Intelligence
https://www.electronics-lab.com/kontron-ai-platform-based-on-google-coral-edge-tpu-for-artificial-intelligence/
Kontron AI platform based on NXP i.MX8 M & Google Coral Edge TPU allows easy integration of all Google TensorFlow-Lite applications for Artificial Intelligence. The applications of TensorFlow Lite and pre-trained models can be downloaded for free of cost. It also comes with the feature of quick simple development of neural networks with machine learning […]
$69 Orange Pi AI Stick For Neural Network Computing on the Edge
https://www.electronics-lab.com/69-orange-pi-ai-stick-neural-network-computing-edge/
Intel launched the Neural Compute Stick back in 2017, and now the Neural Compute Stick 2 was announced in Beijing in November this year which promises almost 20x the power of the Stick 1. Also, Intel isn’t the only one launching or building something related to AI sticks, Gyrfalcon also introduced their Laceli AI Compute Stick […]