Category Technology/Electronics

A Neuromorphic Computing Architecture that can Run Some Deep Neural Networks More Efficiently

A neuromorphic computing architecture that can run some deep neural networks more efficiently
One of Intel’s Nahuku boards, each of which contains eight to 32 Intel Loihi neuromorphic chips. Credit: Tim Herman/Intel Corporation

As artificial intelligence and deep learning techniques become increasingly advanced, engineers will need to create hardware that can run their computations both reliably and efficiently. Neuromorphic computing hardware, which is inspired by the structure and biology of the human brain, could be particularly promising for supporting the operation of sophisticated deep neural networks (DNNs).

Researchers at Graz University of Technology and Intel have recently demonstrated the huge potential of neuromorphic computing hardware for running DNNs in an experimental setting...

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Engineers Build Artificial Intelligence Chip

computer chips graphic
Caption:MIT engineers have created a reconfigurable AI chip that comprises alternating layers of sensing and processing elements that can communicate with each other.
Credits:Credit: Figure courtesy of the researchers and edited by MIT News

The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors. Imagine a more sustainable future, where cellphones, smartwatches, and other wearable devices don’t have to be shelved or discarded for a newer model.

Instead, they could be upgraded with the latest sensors and processors that would snap onto a device’s internal chip — like LEGO bricks incorporated into an existing build. Such reconfigurable chipware could keep devices up to date while reducing our electronic waste.

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Lifespan of Solid-State Lithium Batteries Extended

Person holding lithium battery cell with extended life showing where ion implant was placed

Researchers have successfully increased the lifespan and stability of solid-state lithium-ion batteries, creating a viable approach for future widespread usage.

Person holding lithium battery cell with extended life showing where ion implant was placed The strength of the new, high-density batteries produced by the University of Surrey means that they are less likely to short-circuit — a problem found in previous lithium-ion solid-state batteries.

Dr Yunlong Zhao from the Advanced Technology Institute, the University of Surrey, explained:

“We have all heard horror stories of lithium-ion batteries in transport settings, usually down to issues around cracked casing caused by exposure to stressful environments, such as extreme temperature changes...

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Bluetooth Signals can be used to Identify and Track Smartphones

Bluetooth signals can be used to identify and track smartphones
Researchers tested their method to track Bluetooth fingerprints on campus. They use an off-the-shelf device to track and identify devices. Credit: University of California San Diego

A team of engineers at the University of California San Diego has demonstrated for the first time that the Bluetooth signals emitted constantly by our mobile phones have a unique fingerprint that can be used to track individuals’ movements.

Mobile devices, including phones, smartwatches and fitness trackers, constantly transmit signals, known as Bluetooth beacons, at the rate of roughly 500 beacons per minute.These beacons enable features like Apple’s “Find My” lost device tracking service; COVID-19 tracing apps; and connect smartphones to other devices such as wireless earphones.

Prior research has s...

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