Cyrus F. Hirjibehedin is in the Quantum Information and Integrated Nanosystems group, Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Massachusetts 02421, USA. Although computers ...

SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and ...

A research team led by University of California, Irvine has discovered new neural circuits that regulate spatial learning and memory in the brain's hippocampal formation. The team identified novel ...

A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at Institute of Neuroinformatics, University of ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

We report a complete deep-learning framework using a single-step object detection model in order to quickly and accurately detect and classify the types of manufacturing defects present on Printed ...

A recent technical paper titled “TAG: Learning Circuit Spatial Embedding From Layouts” was published by researchers at UT Austin and NVIDIA. “Analog and mixed-signal (AMS) circuit designs still rely ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A study published by scientists at the University of California San Diego is redefining science's understanding of the way learning takes place. The findings, published in the journal Nature, provide ...

Biomedical engineers have devised a machine learning approach to modeling the interactions between complex variables in engineered bacteria that would otherwise be too cumbersome to predict. Their ...