The launch of ChatGPT has been a remarkable milestone in the development of artificial intelligence (AI) and has captured widespread attention. However, current computing hardware presents limitations for AI development, particularly for edge computing. Neuromorphic computing systems, utilizing in-memory analogue computation, are a promising solution that is attracting significant interest. Among them, a spintronic realization based on a magnetic tunnel junction (MTJ) crossbar is gaining momentum. Unfortunately, the current MTJs are constrained to only two resistance states, posing significant limitations. In this talk, I will present our research efforts towards developing a new type of MTJ that supports multiple resistance states, facilitating the realization of a significantly more efficient spintronic crossbar to be used in future AI applications.
Prof. Klein, a graduate of the Department of Physics at Tel-Aviv University, joined the Department of Physics at Bar-Ilan University in 1997 to establish the Spintronics and Nanomagnetism Laboratory, after being a postdoctoral fellow at Bar-Ilan University and at Stanford University. In addition to fundamental research, the group of Prof. Klein is engaged in applied research in the areas of magnetic memory and magnetic sensors. Prof. Klein was the Chair of the Department of Physics from 2017 to 2022 and was a member of the scientific committee of Bar-Ilan Institute of Nanotechnology from 2004 to 2022. Prof. Klein holds patents in the fields of magnetic memory and magnetic sensing, and he is the author of more than 140 papers with about 4600 citations (H-factor 33).
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