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Sam T. Liss
Executive Director, Strategic Partnerships
Displaying: 1 - 10 of 53 Results
Wearables to Monitor Strength Training
The ability to track and monitor one’s own exercise routine is fundamental to assessing overall fitness and supporting a healthy lifestyle. While conventional fitness wearables typically capture metrics relating to cardio output, researchers in the…
Investigators
- Conor J. Walsh
Hardware Accelerators for Machine Learning Systems
Conventional computing platforms are inefficient at handling complex machine learning algorithms, which has limited the use of artificial intelligence (AI) in business applications. With support from Harvard's Physical Sciences & Engineering…
Investigators
- David M. Brooks
- Gu-Yeon Wei
Deterministic entangled photon pair sources for quantum computing
Quantum entanglement, the non-classical correlation between different subsystems, is a key advantage that quantum computing has over classical computational systems. In quantum communication, entangled photon pairs are a crucial component in…
Investigators
- Prineha Narang
- Derek Schawn Wang
- Tomas Neuman
Electrically Controlled, Shape Morphing Dielectric Elastomer Devices
Soft materials, such as elastomers, can be used as actuators and provide much larger dimensional changes, compared to piezoelectric and electrostrictive materials. However, these dimensional changes in elastomers do not result in more complex shape…
Investigators
- David R. Clarke
- Ehsan Hajiesmaili
Stick-on Large-Strain Sensors for Soft Robots
Soft robots require sensors that are soft, stretchable, and conformable to preserve their adaptivity and safety. This technology provides “stick-on” large-strain sensors for soft robots and enables novel functionality for wearable robots, serving as…
Investigators
- Robert D. Howe
- Zhigang Suo
- Canhui Yang
- Sibo Cheng
- Yashraj S Narang
Novel Qubit Allocation Algorithm for Quantum Computers
Quantum computers will change the landscape of technology through their capability of solving complex problems that classical computers are unable to solve efficiently. Very soon, quantum computers with 50-100 qubits (intermediate-scale) will be…
Investigators
- Prineha Narang
- Wil Thomas Finigan
- Michael Cubeddu
- Yudong Cao
- Thomas Lively
Advancing predicted feedback for improved motor training
The simple act of shooting a basketball can be maddeningly difficult to master. This invention exploits feedback to make a substantial improvement in shooting accuracy and performance. It improves training by giving a shooter feedback about whether…
Investigators
- Maurice Smith
- Rishi Singh
Library of molecules addressing key shortcoming in OLEDs – Batch Uniform
Machine learning, promises to radically reduce the cycle time for computational chemistry. This invention is a library of molecules novel deep blue molecule for use in OLED displays, which were identified through the use of machine learning. OLEDs…
Investigators
- Alan Aspuru-Guzik
- Rafael Gomez-Bombarelli
- Timothy D Hirzel
- Jorge Aguilera-Iparraguirre
- Phil S Baran
Compounds For Organic Light Emitting Diode Materials
Machine learning promises to radically reduce the cycle time for computational chemistry. This invention is a library of molecules novel deep blue molecule for use in OLED displays, which were identified through the use of machine learning. OLEDs…
Investigators
- Alan Aspuru-Guzik
- Rafael Gomez-Bombarelli
- Timothy D Hirzel
- Jorge Aguilera-Iparraguirre
Compact, tunable lens using compliant transparent electrodes
Conventional lenses have specific focal lengths and aberration characteristics due to their shape and comprising material. For adaptable systems, such as a camera that can focus at objects at different distances, often mechanical systems area used…
Investigators
- David R. Clarke
- Samuel Shian
- Roger M. Diebold