The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Although a variety of solutions for neuromorphic systems based on different hardware technology and software programming schemes, there has yet to be a common accepted one. Based on some recent findings in brain science, we propose a new design rule for developing a brain inspired computing system. We design and fabricate a neuromorphic chip, named ‘Tianji’ chip. A multi-chip architecture-based PCB...
The CPU based software simulator for neuromorphic computing is faced with problems of high power consumption and speed limitation of interconnection network, especially in large-scale Spiking Neural Network (SNN) simulation. IBM, Stanford, and ARM have demonstrated us their solutions for neuromorphic computing. However, the cost and development cycle make these approaches impractical for general research...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.