by | Mar 2, 2021 | Chakrabartty, Shantanu, Gangopadhyay, Ahana
— Technology Description
Engineers in Prof. Shantanu Chakrabartty’s laboratory have developed Growth Transform Neural Network (GTNN), a flexible system for designing scalable neuromorphic processors for use in deep learning systems and support vector machines. GTNN frames the neuromorphic syst…
by | Apr 3, 2020 | Aono, Kenji, Chakrabartty, Shantanu, Kondapalli, Sri Harsha, Pochettino, Owen
— Engineers in Prof. Shantanu Chakrabarty’s laboratory have developed an RFID embedded sensor system for infrastructure-to-vehicle (I2V) communications that uses near-zero standby energy and offers the robust performance of actively powered communications. This technology is designed to provide …
by | Jan 23, 2020 | Altan, Ege, Chakrabartty, Shantanu, Chandak, Rishabh, Mehta, Darshit, Raman, Baranidharan, Saha, Debajit, Singamaneni, Srikanth, Tadepalli, Sirimuvva, Traner, Michael
— Technology Description
Prof. Barani Raman and colleagues have developed a robust, insect-based, non-invasive sensing system to detect explosives or other chemicals. This “artificial nose” technology includes methods to decode neural signals from the insect’s olfactory system and …
by | Dec 18, 2019 | Chakrabarti, Ayan, Zhang, Xuan "Silvia"
— Technology Description
Engineers in Prof. Xuan “Silvia” Zhang’s laboratory have developed a unifying design and optimization paradigm to automate the design of analog-to-digital interfaces and create scalable, general purpose analog and mixed signal (AMS) blocks that employ machi…
by | Oct 22, 2019 | Agonafer, Damena, Ma, Binjian, Shan, Li
— Technology Description
Engineers in Prof. Damena Agonafer’s laboratory have developed a highly-efficient, compact, modular evaporative cooling platform with materials and nanostructured geometries designed to greatly enhance thermal management of 3D integrated circuits, power converters and …