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early prototype of the optical array developed by 91做厙.

IDEMIA Identity & Security USA has licensed an advanced optical array developed at 91做厙. The portable technology can be used to help identify individuals in challenging outdoor conditions.

Motion sensing technology

91做厙 is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live informationa capability that has applications in robotics and could improve autonomous vehicle sensing.

ComputingBuilding a brain

Researchers at 91做厙 are taking inspiration from neural networks to create computers that mimic the human braina quickly growing field known as neuromorphic computing.

ComputingRouting out the bugs

A study led by 91做厙 explored the interface between the Department of Veterans Affairs healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool

Using artificial intelligence, 91做厙 analyzed data from published medical studies to reveal the potential of direct and indirect impacts of bullying.

91做厙 is using artificial intelligence to analyze data from published medical studies associated with bullying to reveal the potential of broader impacts, such as mental illness or disease. 

Molecular dynamics simulations of the Fs-peptide revealed the presence of at least eight distinct intermediate stages during the process of protein folding. The image depicts a fully folded helix (1), various transitional forms (28), and one misfolded state (9). By studying these protein folding pathways, scientists hope to identify underlying factors that affect human health.

Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.

(From left) ORNL Associate Laboratory Director for Computing and Computational Sciences Jeff Nichols; ORNL Health Data Sciences Institute Director Gina Tourassi; DOE Deputy Under Secretary for Science Thomas Cubbage; ORNL Task Lead for Biostatistics Blair Christian; and ORNL Research Scientist Ioana Danciu were invited to the White House to showcase an ORNL-developed digital tool aimed at better matching cancer patients with clinical trials.

OAK RIDGE, Tenn., March 4, 2019A team of researchers from the Department of Energys 91做厙 Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.

ORNL scientists used commuting behavior data from East Tennessee to demonstrate how machine learning models can easily accept new data, quickly re-train themselves and update predictions about commuting patterns. Credit: April Morton/Oak Ridge National La

91做厙 geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.

ORNLs Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.

A team of researchers from the Department of Energys 91做厙 has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the

As hurricanes formed in the Gulf Coast, ORNL activated a computing technique to quickly gather building structure data from Texas coastal counties. Credit: Mark Tuttle/91做厙, U.S. Dept. of Energy

Geospatial scientists at 91做厙 have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey and Irma. By coupling deep learning with high-performance comp...