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@naturalintelligence.ai
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Indranil Roy is listed as Founding member and Sr. VP of R&DNatural Intelligence Systems, Inc. at Natural Intelligence Semiconductor, a company with 16 employees, based in Boise, Idaho, United States. AeroLeads shows a work email signal at naturalintelligence.ai, phone signal with area code 515, 208, and a matched LinkedIn profile for Indranil Roy.
Indranil Roy previously worked as Senior Vice President of Research and Development at Natural Intelligence Semiconductor and Research Scientist II at Georgia Institute Of Technology. Indranil Roy holds Doctor Of Philosophy (Ph.D.), Computer Science from Georgia Institute Of Technology.
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Physics | Philosophy | People | PoetryMy passion is to reverse engineer intelligence as observed in nature. We call it natural intelligence, in contrast to artificial intelligence. In nature, intelligent systems can continuously learn in very chaotic and evolving environments, using noisy sensors and computing architecture using a miniscule fraction of the power of modern AI systems. To mimic such capabilities, we must rethink our computing architectures, data representation and learning-model from the ground up!Before this, my work experience spans from embedded systems to supercomputers. I love to study and build elegant algorithms for challenging tasks. My Ph.D. dissertation was awarded the best dissertation award from Georgia Tech's School of Computational Science and Engineering for 2015. Several of my publications have won best paper awards.In my free time I love to study and build model airplanes, play tennis, hike and read poetry.
Listed skills include High Performance Computing, Bioinformatics, Embedded Systems, Algorithms, and 8 others.
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Boise, Idaho Area
I am a founding member and Senior Vice President of Research and Development at Natural Intelligence Systems. My team is developing an innovative Neuromorphic Artificial Intelligence (NAI) system with revolutionary 3rd wave AI capabilities. NAI is the integration of brain-inspired computational theory, learning algorithms, and data structures with an.
Senior researcher in US Department of Energy's (US-DOE) High Performance Data Analytics (HPDA) program. This was multi-university and multi-national lab project to develop Accelerate Big Data Analytics using High Performance Computing. Led research within Georgia Tech to develop novel high-performance capabilities for identifying graph-patterns using the.
I was in charge of internal and external research of use of the Automata Processor for various applications. these applications were related to network security, bioinformatics, graph algorithms, data analytics, semiconductor manufacturing, experimental physics etc. During this project, I interacted with researchers and project managers of various govt..
Working towards my doctoral dissertation (first in the world related to Micron Automata Processor), I led the research on algorithm and applications design on the AP. Before this work, the APs usage was limited to network security. Through my dissertation, the applicability was broadened to Graph Analytics, Bioinformatics, Formal Verification.
I studied the acceleration of two applications that require searching for all occurrences of thousands of string-patterns in an input data-stream, using the Automata Processor (AP). The first application, called Fast-SNAP (for Fast-SNort using AP), scans network data for signatures of intrusion. And the other, called PROTOMATA (for PROTein autOMATA), looks.
Working towards my Masters thesis I helped in the design and development of compile-time and run-time error detection tool (UPC-Check) for Unified Parallel C. My most salient work in this project was related to deadlock detection. Deadlock detection in large parallel programs are extremely difficult because a timeout-based method are uninformative and.
At this time, portable multimedia players were just breaking into the market and audio/video playout and power management was a critical requirement given the processing power and battery technology of the time. My work was related to the playout of.wma and.wmv file formats and overall power management of the devices. These solutions were part of various.
Other employees you can reach at naturalintelligence.ai. View company contacts for 16 employees →
Cameron Tavakoli
Colleague at Natural Intelligence Semiconductor
Boise, Idaho, United States, United States
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Matt Adsitt
Colleague at Natural Intelligence Semiconductor
United States, United States
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Terry Leslie
Colleague at Natural Intelligence Semiconductor
Washington DC-Baltimore Area, United States
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Parallel algorithms, High Performance Computing, Bioinformatics.
Activities and Societies: Project Coordinator, Sankalp, Iowa State University Outdoor Recreation Program, Iowa State University Iowa State.
Bachelor of Engineering, Computer Science and Engineering
Quick answers generated from the profile data available on this page.
Indranil Roy works for Natural Intelligence Semiconductor.
Indranil Roy is listed as Founding member and Sr. VP of R&DNatural Intelligence Systems, Inc. at Natural Intelligence Semiconductor.
AeroLeads has found 1 work email signal at @naturalintelligence.ai for Indranil Roy at Natural Intelligence Semiconductor.
AeroLeads has found 2 phone signal(s) with area code 515, 208 for Indranil Roy at Natural Intelligence Semiconductor.
Indranil Roy is based in Boise, Idaho, United States while working with Natural Intelligence Semiconductor.
Indranil Roy has worked for Natural Intelligence Semiconductor, Georgia Institute Of Technology, Micron Technology, Iowa State University, and Ittiam Systems Pvt Ltd.
Indranil Roy's colleagues at Natural Intelligence Semiconductor include Cameron Tavakoli, Matt Adsitt, and Terry Leslie.
You can use AeroLeads to view verified contact signals for Indranil Roy at Natural Intelligence Semiconductor, including work email, phone, and LinkedIn data when available.
Indranil Roy holds Doctor Of Philosophy (Ph.D.), Computer Science from Georgia Institute Of Technology.
Indranil Roy is listed with skills including High Performance Computing, Bioinformatics, Embedded Systems, Algorithms, Matlab, Parallel Algorithms, Computational Biology, and Perl.
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