New Cognitive Science-Based AI Framework Could Solve Problems Using Less Power
What Happened
Researchers from Tsinghua University, Graz University of Technology, and Italy's National Research Council have developed a new AI framework inspired by principles from cognitive science and neuroscience. Instead of relying solely on data-hungry deep neural networks, the approach mimics how the human brain tackles complex problems, allowing AI systems to solve tasks more adaptively while using less computational power.
Key Takeaways
Researchers say the system could be deployed on neuromorphic hardware, a new generation of brain-inspired chips designed for low-energy computing.