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A Smart Stethoscope Puts AI in Medics’ Ears

Engineers from Johns Hopkins reinvent the humble stethoscope to save lives

12 min read
A health worker in Bangladesh listens to sounds from a boy’s lungs with the help of the Johns Hopkins smart stethoscope
Photo: Dr. Eric D. McCollum

Tech for a Noisy World: Researchers simulated an extremely noisy environment in the lab (the sound meter shows levels of around 70 decibels). They compared the audio heard through a top-notch commercial stethoscope, in which the breathing sounds are mixed with ambient noise, to that heard through the Johns Hopkins smart stethoscope, which uses active acoustic filtering to isolate the breathing sounds.Video: Johns Hopkins University

You wake up one morning to discover that your child is ill: His forehead feels hot to the touch, and his rapid breathing has a wheezing sound. You live in Malawi, where your health care options are few. When the local clinic opens, you wait for your turn with the solitary clinic worker. She’s not a doctor, but she’s been trained to identify and handle routine problems.

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Dialing Down a Quantum Compute Glitch by 100,000x

A low-key solution to qubits’ cosmic ray problem

3 min read
Conceptual computer artwork of electronic circuitry contained within spheres against beams of light, representing how data may be controlled and stored in a quantum computer.
Mehau Kulyk/Science Source

The kind of quantum computers that IBM, Google and Amazon are building suffer catastrophic errors roughly once every 10 seconds due to cosmic rays from outer space. Now a new study reveals a way to reduce this error rate by nearly a half-million-fold to less than once per month.

Quantum computers theoretically can find answers to problems no regular computer might ever hope to solve. Their key ingredients, known as quantum bits, or qubits, are linked together by a quantum effect known as entanglement.

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Deep Learning Gets a Boost From New Reconfigurable Processor

The ReAAP processor allows AI to be faster, more efficient

2 min read
different colored beams of light shooting up
iStock

This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore.

Deep learning is a critical computing approach that is pushing the boundaries of technology – crunching immense amounts of data and uncovering subtle patterns that humans could never discern on their own. But for optimal performance, deep learning algorithms need to be supported with the right software compiler and hardware combinations. In particular, reconfigurable processors, which allow for flexible use of hardware resources for computing as needed, are key.

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NYU Tandon Exploring “Megabase-Scale” Genetic Engineering

A team led by David Truong is building technology to rewrite large chunks of DNA cheaply, safely, and efficiently

7 min read
Shutterstock

This is a sponsored article brought to you by NYU Tandon School of Engineering.

The human genome is built from 23 chromosomes. Within those chromosomes are around 3 billion base pairs of DNA. Within these base pairs are every subtlety of what makes you uniquely you — the way your eyes change color in different lighting, the sound of your laugh, your freckles.

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