Tag: TinyML
Polyn Technology announces the availability of NeuroVoice, an AI solution for voice processing
Polyn Technology has been providing tinyML solutions with its NASP technology, a neuromorphic analog signal processing, ideal for next-gen sensor-level devices in real-time edge AI applications. The company has now announced the availability of its NeuroVoice AI solution for on-chip...
Continue ReadingEdge Impulse announces support for Arduino Nicla Sense ME board with Bosch sensors
Edge Impulse has announced support for Arduino's compact Nicla Sense ME board targeted at Edge AI Motion and Environment projects -- a new standard for intelligent sensing solutions. The edge AI and tinyML expert promised to give full support for the device's newly integrated...
Continue ReadingAnalogLamb’s $19.99 Maple Eye AI development board with ESP32-S3 and ESP-WHO AI framework
There have been several recent developments around TinyML and edge AI applications, and to supply the increasing demand from the developer community, many embedded electronic device manufacturers around the world are designing AI development boards. Beijing-based online embedded...
Continue ReadingA novel approach for in-pixel processing for resource-constrained edge AI applications
Computer vision applications that range from object detection and pattern recognition to computational healthcare and security surveillance systems take the input image for further processing, which in traditional hardware implementation has a vision sensing and vision processing...
Continue ReadingAspinity 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...
Continue ReadingTinyML Image Classification On ESP32-CAM Development Board and Edge Impulse Studio
Recent breakthroughs in embedded machine learning have increased the demand for TinyML applications. In dealing with TinyML, there is an excellent platform to get started and build complex projects, Edge Impulse. We have also witnessed several new embedded devices coming to market...
Continue ReadingEngineering Samples of Ultra-Low Power AON1100 Chip and Development Kit Now Available
AONDevices, Inc., a provider of ultra-low power, high-performance processors for a new era of edge AI, today announced that engineering samples of its new AON1100™ processor are now available. The AON1100 Edge AI processor enables unprecedented sensing capabilities in...
Continue ReadingRAKwireless Launches Two Modules Within The WisBlock IoT Ecosystem
RAKWwireless, a Chinese embedded device manufacturer known for its rich IoT ecosystem with several sensors’ boards and add-on modules for existing baseboards, launched a series of new modules with special highlights on the WisBlock LPWAN module and WisBlock baseboard. The reason for...
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