Artificial Intelligence (AI) is based on machine learning. It is when a computer system can perform tasks that usually require human intelligence. These tasks include speech and object recognition and decision-making capabilities.
Neuromorphic computing is the next evolution in AI. Similar to AI, the systems are able to perform tasks that normally require human intelligence – but in this case the system’s architecture is designed to imitate the human brain.
Neuromorphic systems are processors that are inspired by the human brain. Information is sent and processed via spiking neural networks (SNNs) that are interconnected through synapses.
By using “spikes”, the technology becomes event-driven and operates only when needed. This results in lower energy consumption and more efficiency.
Some of the key advantages of neuromorphic computing versus traditional machine learning is that it can be trained faster than other approaches and operate at lower power.
ASX-listed artificial intelligence company, BrainChip (ASX:BRN), is one company that has developed a neuromorphic computing system. Its system is already in use at airports, casinos and police departments around the world to perform tasks such as facial and object recognition.
Its system is now being developed in a chip form. This chip is called the AkidaTM Neuromorphic System on a Chip (NSoC) and will be very lower in power – making it suitable for quick deployment and use in edge computing.
CEO and President of BrainChip, Louis DiNardo, says that the ability of a neuromorphic processor to act smart from the beginning could mean faster and cheaper AI applications in the future.
“The technology is able to adapt and learn in real time, eliminating the need for intensive training and data inputs. It also eliminates the need for large processors and processing power,” he said.
Other companies are developing this technology, including technology giants IBM and Intel. However, BrainChip is the only company that is solely focused on developing the technology in chip form.
The technology is one of the fastest growing, with the market for neuromorphic computing expected to reach US$8.9 billion by 2025.
A neuromorphic computing chip could have the power to change the future of AI by making complex decisions faster and easier to process.
By processing data in real-time, the technology will become more autonomous and could redefine how we use AI. For instance, it could use cameras to search for a missing person or a suspected criminal, and could have significant implications in self-driving cars.
The ability of the chip to process a huge amount of data from cameras and sensors, without sending it to a central processing hub, will make the technology key in any autonomous vehicle.
AI has already had a significant impact on our daily lives, including how we search online, how employers hire, how insurance companies price policies, how banks detect fraud, and even in modern medicine with the invention of diagnostic devices.
Neuromorphic computing is the next stepping stone for AI and will redefine the future of the technology, particularly in markets using autonomous technology.
This content is produced by Star Investing in commercial partnership with BrainChip. This article does not constitute financial product advice. You should consider obtaining independent advice before making any financial decisions.
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