WEST LAFAYETTE, Ind. – Technology that combines machine learning with artificial intelligence from Purdue University has taken its next giant leap toward powering more Internet of Things and edge computing devices. FWDNXT, a software and hardware startup that spun out of Purdue, was acquired in October by Micron Technology Inc., an industry leader in innovative memory and storage solutions. Micron is integrating FWDNXT's artificial intelligence hardware and software technology with its advanced memory to explore deep learning solutions for data analytics, particularly in IoT and edge computing. "Purdue provided the entrepreneurial resources to help me achieve my vision of taking our work on machine learning and deep learning technology to a much wider audience where we can have a bigger impact," said Eugenio Culurciello, Micron fellow and chief machine learning architect. "Micron has the leadership in memory, long history of innovation and drive to deliver power and performance capabilities that address the most complex and demanding edge applications at scale."

WEST LAFAYETTE, Ind. – 3D manufacturing technology from a Purdue University-affiliated company may soon play an even bigger part in helping the Department of Defense manage its digital assets to protect the United States. Imaginestics LLC, a software company headquartered in the Purdue Research Park of West Lafayette, has received a $1.5 million SBIR (Small Business Innovation Research) Phase II grant through the U.S. Air Force. The award comes after the company was hired in 2017 to create a new system for the Air Force to better manage additive manufacturing (AM). "Imaginestics' mission is to build artificial intelligence-powered solutions for managing digital assets, which aligns perfectly with the needs of the Air Force," said Jamie Tan, CEO and co-founder of Imaginestics. Jason Mann, additive manufacturing technical lead for the 76th CMXG Reverse Engineering and Critical Tooling (REACT) lab at Tinker Air Force Base, said, "Imaginestics is building an Additive Manufacturing Advisory System (AMAS) that will provide the Air Force with a method of effectively storing, manipulating and presenting AM data in a form useful to AM engineers. It will provide provenance for AM parts, the ability to see trends in AM equipment performance, and manage the workflow for AM and reverse engineering tasks. Hosting the software on the AWS GovCloud will allow other depots to utilize the software to share AM data between all organizations involved in AM, while also supporting downstream processes that go with AM to minimize depot maintenance cost."

WEST LAFAYETTE, Ind. - 3D manufacturing technology from a Purdue University-affiliated company may soon play an even bigger part in helping the Department of Defense manage its digital assets to protect the United States. Imaginestics LLC, a software company headquartered in the Purdue Research Park of West Lafayette, has received a $1.5 million SBIR (Small Business Innovation Research) Phase II grant through the U.S. Air Force. The award comes after the company was hired in 2017 to create a new system for the Air Force to better manage additive manufacturing (AM). "Imaginestics' mission is to build artificial intelligence-powered solutions for managing digital assets, which aligns perfectly with the needs of the Air Force," said Jamie Tan, CEO and co-founder of Imaginestics. Jason Mann, additive manufacturing technical lead for the 76th CMXG Reverse Engineering and Critical Tooling (REACT) lab at Tinker Air Force Base, said, "Imaginestics is building an Additive Manufacturing Advisory System (AMAS) that will provide the Air Force with a method of effectively storing, manipulating and presenting AM data in a form useful to AM engineers. It will provide provenance for AM parts, the ability to see trends in AM equipment performance, and manage the workflow for AM and reverse engineering tasks. Hosting the software on the AWS GovCloud will allow other depots to utilize the software to share AM data between all organizations involved in AM, while also supporting downstream processes that go with AM to minimize depot maintenance cost."