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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 Brooks
  • Gu-Yeon Wei

Disinfecting Pathogens on Surfaces and in Air

Pathogens found in the air and on surfaces present a massive global health challenge, threating human health and food security. The lab of Philip Demokritou at Harvard’s T.H. Chan School of Public Health has developed Engineered Water Nanostructures…

Investigators

  • Philip Demokritou

Hand Recovery from the Comfort of Home

Physical rehabilitation for motor impairment post-stroke involves high repetition of movement in order to retrain the brain on how to move the hand. Access to conventional rehabilitation therapy is limited when there are travel and financial burdens…

Investigators

  • Conor Walsh

3D-printed Tissue Grafts for Hearing Loss

Researchers from Jennifer Lewis' lab at Harvard, in collaboration with Aaron Remenschneider and Elliott Kozin at Massachusetts Eye and Ear, have developed a novel device for repairing damaged eardrums. Customizable grafts with anisotropic material…

Investigators

  • Jennifer Lewis

Faster testing for illicit drugs

Researchers in the Whitesides lab have developed a portable and easy to use Magneto-Archimedes Levitation (MagLev) device for identifying the composition of illicit drug mixtures. A diamagnetic sample (in this case, an unknown drug mixture) is…

Investigators

  • George Whitesides
  • Christoffer Abrahamsson
  • Amit Nagarkar
  • Michael Fink
  • Daniel Preston
  • Markus Nemitz
  • Shencheng Ge
  • Joseph Bozenko

One-Seq: A highly scalable diagnostic for SARS-CoV-2 and its variants

The COVID-19 pandemic has highlighted the need for highly scalable and sensitive viral diagnostics, together with identification of viral variants. One-Seq is a novel diagnostic method with three key advantages: it is highly scalable, allowing a…

Investigators

  • Marc Kirschner
  • Mingjie Dai
  • George Church

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 Wang
  • Tomas Neuman

Achromatic multi-zone metalens for AR/VR systems

Augmented reality (AR) and virtual reality (VR) hardware is composed of optical elements, displays, sensors and electronics. Optics in particular are highly important to the quality and experience of AR/VR, and classical optical devices impose…

Investigators

  • Federico Capasso

An achromatic and polarization-insensitive metalens for compact optics

Metasurfaces are a type of flat optics that leverage subwavelength features to control light. Metalenses, a type of metasurface, have emerged as a breakthrough technology to enable compact and efficient optical devices, whereas classical optical…

Investigators

  • Federico Capasso
  • Wei-Ting Chen
  • Alexander Zhu

Quantum Metrology based on Strongly Correlated Matter

Sensors using individual atomic defects in diamond have revolutionized local magnetic sensing. This technology is based on the insight that higher densities of defects can produce more sensitive detectors. However, at very high densities,…

Investigators

  • Mikhail Lukin
  • Norman Yao
  • Soonwon Choi

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