A computer scientist has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. The researcher applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.
A computer scientist has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. The researcher applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications. A computer scientist has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. The researcher applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.