technologies available for licensing

Rensselaer Polytechnic Institute has a variety of technologies ranging from chemicals to lighting systems to algorithms and everything in-between. Rensselaer’s technologies can help you start a company or be a great addition to your current technology portfolio. To see what technologies are currently available for licensing at Rensselaer, please use the search below. If you have a technology need that Rensselaer’s technologies don’t currently solve, please reach out to IPO to discuss more your needs.

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Behavioral biometrics tools identify users with keystroke dynamics, signature verification, voice recognition, and gesture recognition. These technologies compare a profile of the users against a database created with contextual information, including physiological, cognitive, and contextual traits. Institutions of higher education, governments, and financial institutions use…
Nonphotochemical quenching (NPQ) is a response mechanism in plants and algae that allows them to process and dissipate excess excitation energy as heat safely. Collecting fluorescence data from these plants and algae in surface water environments can incur errors from NPQ, ultimately leading to inaccurate calculations of chlorophyll concentration for environmental and…
Researchers at RPI are developing a cognitive logic-enabled AI that can operate on multiple screens and in multiple environments for the K-12 sector. Declining public school math and science test scores have concerned American politicians and educators since the 1980s. This educational failure coincides with the large number of employees unable to fill the growing number of…
The terahertz (THz) band shows promise in terms of providing improved communications capabilities, including the ability for power-enhanced beam-forming and spatial multiplexing and reconfigurable array architectures that meet the capacity demands for 5G applications. All of these attributes of line of sight (LoS) systems in the THz spectral regime allow for wireless bit rates…
Commonly implanted medical devices containing metal parts (i.e., dental fillings, coils, hip replacements) generate streaks in computed tomography (CT) images, thereby impeding diagnosis and interfering with radiation therapy planning. Inventors at RPI created a novel technique to boost the efficacy of neural networks for metal artifact reduction (MAR) in CT images. Currently…
"Researchers at RPI developed an optical reservoir computer (ORC) with commercial off-the-shelf components to predict lung tumor motion during radiotherapy. The technology could improve radiation therapy outcomes and yield applications for other imaging modalities. The ORC shows comparable motion prediction accuracy and error rates to traditional neural networks (long short-…
Researchers at Rensselaer Polytechnic Institute are developing a non-invasive and user-friendly wearable device for monitoring blood pressure, blood glucose, and biomarkers, which could improve quality of life,  decrease healthcare expenditure, and allow for early intervention for potentially serious diseases.    Currently, a major area of interest within the medical…
Strokes are one of the primary sources of long-term disability with billions in annual direct and indirect costs to the United States healthcare system. Nearly one-third of all strokes occur in patients with clogged carotid arteries. Carotid artery imaging types include digital subtraction angiography (DSA), duplex ultrasonography (DUS), CT angiography, and MR angiography.…
Intramembrane proteolytic cleavage is an important process in a number of signaling pathways and pathologies. One of the best-known is that of Alzheimer’s Disease (AD), where the gamma-secretase enzyme cleaves amyloid precursor protein (APP) to create free amyloid. This free amyloid accumulates to form amyloid plaques during the later stages of the disease. New drugs are…
A dual-capacitor resonant circuit for adaptive resonant energy to be used in quasi-resonant ZCS dc-dc converters has been created. Specifically, the full-bridge (FB) boost-type dc-dc converters were developed for quasi-resonant ZCS operation and smooth current commutation by utilizing L-C resonance between leakage inductance of high frequency transformer and a resonant…