Oct 22, 2019 | News Articles
Training of deep neural networks (DNNs) is a computationally intensive task and requires massive volumes of data transfer. Performing these operations with the conventional von Neumann architectures creates unmanageable time and power costs. Recent studies have shown...
Oct 10, 2019 | News Articles, Uncategorized
We propose the use of superconducting nanowires as both target and sensor for direct detection of sub-GeV dark matter. With excellent sensitivity to small energy deposits on electrons and demonstrated low dark counts, such devices could be used to probe electron...
Sep 27, 2019 | News Articles
Superconducting nanowire-based devices are increasingly being used in complex circuits for applications such as photon detection and amplification. To keep up with the growing circuit complexity, nanowire processing is moving from single layer fabrication to...
Sep 4, 2019 | News Articles
With the rising societal demand for more information-processing capacity with lower power consumption, alternative architectures inspired by the parallelism and robustness of the human brain have recently emerged as possible solutions. In particular, spiking neural...
Aug 12, 2019 | News Articles
At the surfaces of nanostructures, enhanced electric fields can drive optical-field photoemission and thereby generate and control electrical currents at frequencies exceeding 100 THz. A hallmark of such optical-field photoemission is the sensitivity of the total...
Jun 6, 2019 | News Articles
Congratulations to Emily for being awarded the 3rd prize in the “Schnitzer Prize in the Visual Arts” contest. Established in 1996, the Harold and Arlene Schnitzer Prize is awarded each year to current MIT undergraduate and graduate students for excellence...