The ultimate goal is to create a circuit with the complexity of a cat's brain
The purpose of building brain-like computers is to create more efficient and powerful computing systems that can mimic the complex processes of the human brain. This can potentially lead to advancements in artificial intelligence and machine learning.
IBM plans to use a combination of neuroscience-inspired algorithms, advanced computer hardware, and neuroimaging techniques to build brain-like computers. They will also collaborate with experts in the field of neuroscience to further develop their technology.
The potential applications of brain-like computers are vast and varied. They can be used in fields such as healthcare, finance, transportation, and more. Some specific examples include medical diagnosis, financial forecasting, and self-driving cars.
Brain-like computers will differ from traditional computers in several ways. They will have a more parallel and distributed architecture, allowing for faster and more efficient processing. They will also be able to learn and adapt, similar to the way the human brain does.
The potential benefits of brain-like computers include faster and more efficient processing, improved decision-making capabilities, and the ability to handle complex and unstructured data. They could also lead to breakthroughs in various industries and fields, ultimately improving our daily lives.