The smallest of devices are set to get smarter with artificial intelligence making its way into microcontrollers.
FREMONT, CA: Until recently, a certain level of storage and computing power was considered essential to run AI algorithms. Today, even low powered systems are being able to run AI and ML programs. Experiments over the years have resulted in tiny microcontrollers attaining artificial intelligence. Unlike bigger computers, microcontrollers are extremely simple, on which codes can be executed using a programmer. When the widely used microcontrollers get to run with AI, there emerge innumerable opportunities of equipping the smallest of devices with cognitive capabilities. Commonly used home appliances, cars, toys, accessories, and smartphones are all poised to get smarter as it gets easier to design microcontrollers that are AI-enabled.
With microcontrollers for AI and ML becoming feasible, one can expect greater functionality of devices. Currently, smaller devices used on an everyday basis depend on the internet and expensive hardware for intelligent functioning. With AI and ML in microcontrollers, devices will be able to function intelligently without relying on high processing powers or internet connectivity. Home appliances can get smarter from merely adapting to routine because of ML in microcontrollers. The utility of smart sensors will also expand.
With smaller, inexpensive devices becoming AI-enabled, teaching and learning processes are also poised to get enriched. Intelligent toys and smart learning devices can make learning effective for children while helping them pick up skills with ease. Similarly, smartphones that run on commands today could become contextually informed and intelligent when AI-enabled microcontrollers operate in the background. The battery requirements for the improved microcontrollers are roughly the same as before. Thus, the advantages come without any significant investment in enhancing power and storage.
As the demand for AI and ML grow beyond industrial use and enter consumer electronics markets, microcontrollers are expected to take the lead and deliver inexpensive and intelligent devices to end-users. AI and ML can revolutionize the domain of consumer electronics. Given the flexibility and privacy that microcontrollers offer, adopting AI presents zero challenges and innumerable opportunities.