What is it?
Biologically Inspired AI, also known as bio-inspired AI or biomimetic AI, is an approach to artificial intelligence that draws inspiration from the principles, structures, and processes found in biological systems. This field focuses on developing AI algorithms, architectures, and systems that mimic or adapt the problem-solving strategies observed in nature, such as those found in the brain, immune system, or evolutionary processes. Key aspects of Biologically Inspired AI include Neural networks, Evolutionary algorithms, Swarm intelligence, Artificial immune systems and Neuromorphic computing.
Why is it important?
Bio-inspired AI systems can exhibit robust and adaptive behavior in the face of uncertainty, noise, and changing environments, similar to how biological systems operate in the real world. Many biological systems are highly energy-efficient, and bio-inspired AI approaches, such as neuromorphic computing, can lead to the development of more energy-efficient AI hardware and algorithms. Biological systems, like the brain, demonstrate massive parallel processing capabilities. Bio-inspired AI approaches can enable the development of highly scalable and parallel AI systems.
What industries will it impact?
Healthcare and biomedical research, Robotics and autonomous systems, Environmental monitoring and conservation, Transportation and logistics, Cybersecurity and anomaly detection, Manufacturing and engineering, Finance.
Market players
Brainchip, Meta.