Page 14 - Edge Impulse News Today

AI: how low can you go? Markets are subject to fads and the embedded-control sector is far from immune to them. In the 1990s, fuzzy logic seemed to be the way forward and microcontroller (MCU) vendors scrambled to put support into their offerings only to see it flame out. Embedded machine learning (ML) is seeing a far bigger feeding frenzy as established MCU players and AI-acceleration start-ups try to demonstrate their commitment to the idea, which mostly goes under the...

Operator Hello, ladies and gentlemen. Welcome to the Himax Technologies Incorporated Third Quarter [Phonetic] 2020 Earnings Conference Call. [Operator Instructions] I would now like to turn the conference over to your host, Mr. Mark Schwalenberg from MZ Group. Please go ahead. Mark Schwalenberg -- Senior Vice President, Investor Relations Welcome everyone to Himaxs fourth quarter 2020 earnings call. Joining us from the company today are Mr. Jordan Wu, President and Chief Executive Officer; Ms....

Silicon Labs and Edge Impulse look to accelerate ML applications Silicon Labs and Edge Impulse, a development platform for machine learning on edge devices, are collaborating on the rapid development and deployment of machine learning (ML) on Silicon Labs EFR32 wireless SoCs and EFM32 microcontrollers (MCUs). Implementation of the Edge Impulse tool will enable complex motion detection, sound recognition and image classification on low-power, memory-constrained, and remot...

Silicon Labs and Edge Impulse Partner to Accelerate Machine Learning Applications --New development tool enables integration of TinyML on Silicon Labs IoT Products-- News provided by Share this article   Silicon Labs (NASDAQ: SLAB), a leading provider of silicon, software and solutions for a smarter, more connected world, and Edge Impulse, a leading development platform for machine learning on edge devices, announce a collaboration to enable rapid development and deployment of machine learnin...

Nordic Semiconductor, Oslo Norway, has enter into a partnership with Edge Impulse, a leading provider of what’s termed ‘tiny machine learning’ or ‘TinyML’ tools designed to run on resource constrained semiconductor devices. The collaboration will permit Nordic Semi’s nRF52 and nRF53 Series Bluetooth Low Energy (LE) chips to benefit from easy-to-use AI and machine learning features as standard. This is a first for the Bluetooth semiconductor industry. “What AI and machine learning ...

AI and machine learning easily accessible on wireless IoT chips for first time Nordic Semiconductor has entered into a partnership with Edge Impulse, a leading provider of what’s termed ‘tiny machine learning’ or ‘TinyML’ tools intended to run on resource-constrained semiconductor devices. All of Nordics nRF52 and nRF53 Series BLE chips will now be able to profit from easy-to-use AI and machine learning features as standard. This is claimed to be a first for the Bluetooth semiconducto...

Nordic Development Kit provides easy access to AI and ML Nordic Semiconductor’s partnership with Edge Impulse, a provider of ‘TinyML’ tools designed to run on resource constrained semiconductor devices, has enabled its nRF52 and nRF53 Series Bluetooth Low Energy (LE) chips to benefit from easy-to-use AI and machine learning features as standard. “What AI and ML on resource-constrained chips does – which Nordic will now collectively refer to as Ti...

The embedded AI compiler from Edge Impulse can bow be used with Bluetooth Low Energy (BLE) wireless controllers from Nordic Semiconductor