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MIT: Researchers’ Algorithm Designs Soft Robots that Sense

CAMBRIDGE, MA — March 22, 2021 — There are some tasks that traditional robots — the rigid and metallic kind — simply aren’t cut out for. Soft-bodied robots, on the other hand, may be able to interact with people more safely or slip into tight spaces with ease. But for robots to reliably complete their […]

MIT Researchers: Promise for Nonsilicon Computer Transistors

For decades, one material has so dominated the production of computer chips and transistors that the tech capital of the world — Silicon Valley — bears its name. But silicon’s reign may not last forever. MIT researchers have found that an alloy called InGaAs (indium gallium arsenide) could hold the potential for smaller and more […]

SC20 Announces Record Number of Teams for Annual Student Cluster Competition

This year’s Student Cluster Competition at SC20 will include two firsts: it will involve the most number of teams (19) in the competition’s 14-year history, and it will for the first time be held completely virtually. “This year’s Student Cluster Competition will be very different, as it will be 100 percent cloud-based,” explained SC20 SCC […]

DOE, White House Announce Members of U.S. Quantum Advisory Committee

Technologists from the national labs, universities, federal agencies and industry have been named by the U.S. Department of Energy and the White House Office of Science and Technology Policy (OSTP) to the National Quantum Initiative Advisory Committee (NQIAC). Announced today, the NQAIC’s mission is to “counsel the Administration on ways to ensure continued American leadership […]

ACM Doctoral Dissertation Award Goes to Tel Aviv University Graduate

The Association for Computing Machinery (ACM) today announced that Dor Minzer receives the 2019 ACM Doctoral Dissertation Award for his dissertation, “On Monotonicity Testing and the 2-to-2-Games Conjecture.” The key contributions of Minzer’s dissertation are settling the complexity of testing monotonicity of Boolean functions and making a significant advance toward resolving the Unique Games Conjecture, […]

Intel, NSF Name Winners of Wireless Machine Learning Research Funding

Intel and the National Science Foundation (NSF), joint funders of the Machine Learning for Wireless Networking Systems (MLWiNS) program, today announced recipients of awards for research projects into ultra-dense wireless systems that deliver the throughput, latency and reliability requirements of future applications – including distributed machine learning computations over wireless edge networks. Here are the […]

CMU’s Jerry Wang Wins 2020 Frederick Howes Award

Carnegie Mellon University Assistant Professor Gerald “Jerry” Wang has been named the 2020 Frederick A. Howes Scholar in Computational Science for his work in nanoscale fluid flows. Wang, a fellow from 2014-2018, earned his mechanical engineering doctorate from the Massachusetts Institute of Technology in 2019. His thesis focused on the structure of fluids moving through confined spaces, especially in nanotubes thousands of times thinner than a hair.

New Memristors at MIT: Networks of Artificial Brain Synapses for Neuromorphic Devices

A possible glimpse at a future form of high performance edge computing – networks of artificial brain synapses – developed by engineers at the Massachusetts Institute of Technology is showing promise as a new memristor design for neuromorphic devices, which mimic the neural architecture in the human brain. Published today in Nature Nanotechnology, results of […]

Video: Heterogeneous Computing at the Large Hadron Collider

In this video, Philip Harris from MIT presents: Heterogeneous Computing at the Large Hadron Collider. “Only a small fraction of the 40 million collisions per second at the Large Hadron Collider are stored and analyzed due to the huge volumes of data and the compute power required to process it. This project proposes a redesign of the algorithms using modern machine learning techniques that can be incorporated into heterogeneous computing systems, allowing more data to be processed and thus larger physics output and potentially foundational discoveries in the field.”

Visualizing an Entire Brain at Nanoscale Resolution

In this video from SC19, Berkeley researchers visualizes an entire brain at nanoscale resolution. The work was published in the journal, Science. “At the core of the work is the combination of expansion microscopy and lattice light-sheet microscopy (ExLLSM) to capture large super-resolution image volumes of neural circuits using high-speed, nano-scale molecular microscopy.”