A team of researchers at the Human Brain Project (HBP) are working with Intel to advance neuromorphic technology and bring AI closer to the energy efficiency of the human brain. Neuromorphic technology is more energy efficient for large deep learning networks when compared to other AI systems.
Researchers in the HBP and Intel carried out a set of experiments demonstrating this efficiency. The experiments involved a new Intel chip that relies on neurons similar to those in the human brain. This was the first time that such results were demonstrated.
The research was published in Nature Machine Intelligence.
Comments are closed.