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Data visualization gets artificial intelligence boost with $5 million NSF grant

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Researchers at University of Hawai'i at Mānoa, University of Illinois at Chicago, and Virginia Tech were awarded a $5 million National Science Foundation grant to synergize two complementary technologies -- large-scale data visualization and artificial intelligence -- to create the Smart Amplified Group Environment (SAGE3) open-source software. SAGE, soon to be on its third iteration as SAGE3, is the most widely used big-data visualization and collaboration software in the world. SAGE and SAGE2 are software to enable data-rich collaboration on high-resolution display walls. SAGE2 moved SAGE into cloud computing and SAGE3 ushers in the inclusion of artificial intelligence. Principal investigator Jason Leigh is a computer and information science professor at University of Hawai'i at Mānoa and the inventor of SAGE.


Medical video game maker Level Ex acquired by surgical technology firm Brainlab - 360WiSE MEDiA

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Level Ex, a Chicago startup that makes medical-training video games for doctors, has been acquired by Berlin-based medical-technology company Brainlab, the companies announced today. The companies did not disclose the terms of their deal, although Level Ex CEO Sam Glassenberg told MobiHealthNews that his company would continue to operate under the new ownership as an independent entity. "We're a bunch of game developers that have been parachuted into the healthcare industry, and we're constantly seeing technology that is, like, two decades behind what we're doing in the entertainment industry," he said. If you go to their offices and see their tech, it's incredibly forward looking. Learn on-demand, earn credit, find products and solutions.


Intel, NSF Name Winners of Wireless Machine Learning Research Funding – IAM Network

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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. Institutions: University of Illinois Urbana-Champaign and University of Washington Project Leads: Pramod Viswanath (University of Illinois Urbana-Champaign) and Sewoong Oh (University of Washington) Project Description: This project will use deep learning applications in the physical layer of communications systems, which will enable researchers to: 1) study the operation of new neural-network based, nonlinear channel codes through jointly trained encoders and decoders, 2) integrate information-theory, which can reduce the number of parameters to be learned and improve the training efficiency of communication systems, to create non-linear codes in feedback channels, and 3) design a family of non-linear neural codes for interference networks.


Six UC Berkeley-led projects win funding to combat COVID-19 with AI

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The C3.ai Digital Transformation Institute has awarded six UC Berkeley faculty funding to use AI to mitigate the threat of COVID-19. Bottom row, from left: Karen Chapple, Teresa Head-Gordon and Jennifer Listgarten. Six UC Berkeley-led projects have won funding from the recently launched C3.ai Digital Transformation Institute to harness the power of artificial intelligence (AI) to combat the spread of COVID-19 and other emerging diseases. These wide-ranging research projects will use AI and machine learning tools to understand and reduce the threat posed by the SARS-CoV-2 virus in a variety of ways, from tracking the transmission dynamics of the virus in Mexico to speeding the discovery of small molecules that could one day serve as pharmaceutical treatments for the disease. The C3.ai Digital Transformation Institute, a research consortium established in March by enterprise AI software company C3.ai and headquartered at Berkeley and the University of Illinois at Urbana-Champaign, aims to mobilize AI, machine learning and the Internet of Things to transform societal-scale systems.


The Data Science Life Cycle

Communications of the ACM

Victoria Stodden (vcs@stodden.net) is a statistician and associate professor at the University of Illinois at Urbana-Champaign, IL, USA. This material is based upon work supported by National Science Foundation Award #1941443.


How AI can help shield frontline health workers

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Mary Tolan, co-founder and managing partner at Chicago Pacific Founders, explains how healthcare providers can apply AI's diagnostic and logistical capabilities to create a protective buffer between emergency medical providers and COVID-19 patients. We are living through a near-unprecedented crisis. During the COVID-19 pandemic, healthcare workers have emerged as frontline heroes, working overtime to protect our communities from the spread of novel Coronavirus. But they aren't immune to the anxious, uncertain atmosphere the pandemic has fostered nor, indeed, the Coronavirus itself. We need to protect the first responders and hospital staff who put their wellbeing on the line to support their communities during a crisis.