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Now showing items 671-677 of 677
Touching is believing : sensing and analyzing touch information with GelSight
(Massachusetts Institute of Technology, 2015)
For robots to perform advanced manipulation in a world of unknowns, touch is a critical source of information, and a high-quality tactile sensor is essential. However, existing tactile sensors generally are low-resolution ...
Researching and developing the impacts of virtual identity on computational learning environments
(Massachusetts Institute of Technology, 2018)
With the current proliferation of educational games, MOOCs, and with the pervasive use of virtual identities such as avatars in systems ranging from online forums to virtual reality simulations, it is increasingly important ...
Enabling technologies for functional optical coherence tomography in retinal disease
(Massachusetts Institute of Technology, 2018)
Optical coherence tomography (OCT) imaging of retinal function has become increasingly important because alterations in the function may reflect earlier changes in ocular diseases than the alterations in the structure. ...
Redesigning the memory hierarchy to exploit static and dynamic application information
(Massachusetts Institute of Technology, 2019)
Memory hierarchies are crucial to performance and energy efficiency, but current systems adopt rigid, hardware-managed cache hierarchies that cause needless data movement. The root cause for the inefficiencies of cache ...
Nanostructures for vacuum optoelectronic engineering
(Massachusetts Institute of Technology, 2019)
The interaction between free electrons and electromagnetic fields enables a wide range of scientific research and technological applications, ranging from electronic, optoelectronic, and microwave vacuum tubes, to electron ...
Hardware-aware efficient deep neural network design
(Massachusetts Institute of Technology, 2020)
Deep neural networks (DNNs) deliver best-in-class accuracy on various artificial intelligence applications. However, the high accuracy comes at the cost that the computational complexity of DNNs is much higher than that ...
Characterization of phoneme rate as a vocal biomarker of depression
(Massachusetts Institute of Technology, 2017)
Quantitative approaches to psychiatric assessment beyond the qualitative descriptors in the Diagnostic and Statistical Manual of Mental Disorders could transform mental health care. However, objective neurocognitive state ...