In “Probing resonating valence bond states in artificial quantum magnets,” we show that quantum spin liquids can be built and probed with atomic precision.
Can analog AI hardware support deep learning inference without compromising accuracy? Our research team at IBM Research Europe in Zurich thought so when we started developing a groundbreaking technique that achieves both energy efficiency and high accuracy on deep neural network computations using phase-change memory devices. We believe this could be a way forward in […]
Nanomaterials offer unique optical and electrical properties and bottom-up integration within industrial semiconductor manufacturing processes. However, they also present one of the most challenging research problems. In essence, semiconductor manufacturing today lacks methods for depositing nanomaterials at predefined chip locations without chemical contamination. We think that graphene, one of the thinnest, strongest, most flexible and most […]
IBM scientists developed an artificial synaptic architecture, a significant step towards large-scale and energy efficient neuromorphic computing technology.
Computational Biologists Find Inspiration for Machine Learning Cell Cycle Sorting Method in an Unlikely Place
The lifespan of cells in the human body varies greatly, from as short as a few days, such as those in our stomach lining, to the cells in our bones, which live for 25-30 years. And for each healthy cell, no matter how long it lives, there is a tightly coordinated series of events that […]