While there are several single-board computers on the market as well as a multitude of highly expensive industrial computers, developers often find themselves in a difficult spot when searching for a computer that's located somewhere in between -- an unfortunate chasm that the Beaglebone AI device is designed to fix.
Unveiled at the Embedded World exhibition in Germany, the BeagleBone AI is highly geared towards artificial intelligence products, as its name might suggest. With a powerful quadrant of vision engines, a signal processor and an array of machine learning features, this is a device that's small in size but big on application possibilities.
Set to be made available for a price of an estimated $100, the BeagleBone AI is a device that goes to show that single-board computers can certainly be designed to be both affordable and versatile, with the latter feature especially crucial for developers working in the realm of AI.
Intelligent Single-Board Computers
The 'BeagleBone AI' Offers Powerful Machine Learning Features
Trend Themes
1. Affordable AI Devices - The BeagleBone AI showcases the potential of affordable, yet powerful AI devices, opening up new possibilities.
2. Versatile Single-board Computers - The market has room for more affordable and highly versatile single-board computers that cater to the needs of developers searching for an in-between solution.
3. Machine Learning for Embedded Devices - The increasing demand for machine learning models on embedded devices creates opportunities for developing more powerful and energy-efficient machines as seen with the BeagleBone AI.
Industry Implications
1. Computer Hardware Manufacturing - Hardware manufacturers that aim to democratize innovative and affordable single-board computers can utilize the BeagleBone AI as a benchmark for their own products.
2. Artificial Intelligence - The dedicated machine learning features of the BeagleBone AI make it an ideal fit in the artificial intelligence industry.
3. Embedded Systems Development - The BeagleBone AI presents an opportunity for developers to integrate AI capabilities into existing or new embedded systems projects with a more feasible and powerful option.