Displaying: 1 - 10 of 48 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

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

CMOS integrated NMR spectrometer

Nuclear Magnetic Resonance (NMR) spectrometers have been in use for many years and are used to provide imaging or analysis of a sample being tested. In general, an NMR spectrometer is comprised of three main components: a pulse sequencer, an NMR…

Investigators

  • Donhee Ham
  • Dongwan Ha
  • Jeffrey Paulsen
  • Song Yi-Qiao

Multi-axis force sensing soft artificial skin

With rapid growth in key segments such as robotics and wearable computing. Sensors are one of the critical areas of need. The soft sensor IP developed in the Wood Lab consists of stretchable sensors that register deformation and surface pressure.…

Investigators

  • Robert J. Wood
  • Daniel M. Vogt
  • Yong Lae Park

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