Our new Science article is out:
H.-T. Zhang and T. J. Park and A. N. M. N. Islam and D. S. J. Tran and S. Manna and Q. Wang and S. Mondal and H. Yu and S. Banik and S. Cheng and H. Zhou and S. Gamage and S. Mahapatra and Y. Zhu and Y. Abate and N. Jiang and S. K. R. S. Sankaranarayanan and A. Sengupta and C. Teuscher and S. Ramanathan. Reconfigurable perovskite nickelate electronics for artificial intelligence. Science, 375(6580): 533-539, 2022. https://doi.org/10.1126/science.abj7943
“Having all the core functionality required for neuromorphic computing in one type of a device could offer dramatic improvements to emerging computing architectures and brain-inspired hardware for artificial intelligence. Zhang et al. showed that proton-doped perovskite neodymium nickelate (NdNiO3) could be reconfigured at room temperature by simple electrical pulses to generate the different functions of neuron, synapse, resistor, and capacitor (see the Perspective by John). The authors designed a prototype experimental network that not only demonstrated electrical reconfiguration of the device, but also showed that such dynamic networks enabled a better approximation of the dataset for incremental learning scenarios compared with static networks.” —YS
Science commentary: https://doi.org/10.1126/science.abn6196
PSU press release: https://www.pdx.edu/news/new-ai-research-gives-existing-systems-versatility-growth-and-lifelong-learning
Other press coverage:
