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Intel Creates Neuromorphic Research Community to Advance ‘Loihi’ Test Chip

Thursday, March 1st, 2018

Members will Receive Resources for Exploring Neuromorphic Computing Use Cases

By Dr. Michael Mayberry

This week, we hosted the Neuro Inspired Computational Elements (NICE) workshop at our Oregon campus with the goal of bringing together researchers from different scientific disciplines to discuss and explore the development of next-generation computing architectures, including neuromorphic computing. Today at the workshop, we provided an update on Intel’s neuromorphic research and announced a collaborative research initiative to encourage experimentation with our Loihi neuromorphic test chip.

Here’s a status of our neuromorphic computing efforts and details on this new research community.

Where We Are

Fabrication and packaging of our Loihi test chip was completed in early November, and we began power-on and validation. We were pleased to find 100 percent functionality, a wide operating margin and few bugs overall. Our small-scale demonstrations that we had prepared on our emulator worked as expected on the real silicon, though, of course, running orders of magnitude faster. Our equivalent of a “Hello World” application is recognizing a 3-D object from multiple viewing angles, structured after the COIL-20 example from Columbia University. As measured at our lab, this particular application uses less than 1 percent of Loihi, learns the training set in seconds and consumes tens of milliwatts.

We shared Loihi architectural details in a paper that IEEE Micro recently published, and we presented those details and several demos to NICE workshop attendees this week.

We have delivered the first developer systems to select research collaborators who are working on a variety of applications including sensing, motor control, information processing and more. Software development tools remain one of our focus areas, and we’re looking forward to running much larger scale applications in conjunction with research collaborators. As we learn more together, we expect progress to accelerate, and that’s where today’s announcement comes in.


Intel Engineer Reimagines Earbuds for Smartphones

Friday, April 18th, 2014

 Article source: Intel Free Press

Engineer Indira Negi worked on the design of Intel smart earbuds

Indira Negi brings passion for running, biometric experience and maker skills to development of Intel smart earbuds.

When she literally jogged on-stage to join Intel CEO Brian Krzanich in his opening keynote at International CES in Las Vegas, engineer Indira Negi was there to demonstrate the Intel smart earbuds that she and her team had developed, but the “smart” design she showed off also helped solve an issue the avid runner had personally encountered.

Indira Negi at CES with Intel CEO Brian Krzanich demo Intel smart earbuds

“I am a runner — I get hives from the sun, I have to run with gloves on,” said Negi about running with a smartphone. “That means when there is a bad song, I have to take out my phone, take off my gloves, unlock my phone and change the song.”

Starting from solving a problem that she knew all too well, Negi, a sensors systems engineer in the Intel New Devices Group, and a team set out to create a device and software that would monitor heart rate and adjust music playback based on sensor feedback. The result was the Intel smart earbuds reference design, developed in collaboration with Valencell.

Negi’s study of bioelectronics and biosensors in graduate school — she earned a master’s degree in electrical engineering from Arizona State — lent her a keen appreciation of the value of biometric monitoring.

One project she worked on while at ASU measured stress levels in saliva using specially treated paper. When you are working out, you are stressing your body in a positive way, explained Negi. If you work out too hard, this becomes negative stress, which can increase the chances of getting injured. She also worked on molecular imprinted polymers while at ASU coated with biochemical sensors that reacted only to specific molecules.


DownStream: Solutions for Post Processing PCB Designs

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