Submission + - Can Computer Models Prescribe Public Health Interventions for COVID-19? (ieee.org)
Submission + - Photo Essay: Robots in the COVID-19 Response (ieee.org)
Submission + - Why Modeling the Spread of COVID-19 Is So Damn Hard (ieee.org)
Submission + - NASA's Lunar Space Station Might Be a Boondoggle (ieee.org)
This article by veteran space reporter Jeff Foust explains how NASA got itself into this situation.
Submission + - Rwanda Is Way Ahead on Delivery Drones (ieee.org)
Medical supplies seem like they could be a killer app for delivery drones, since they're often lightweight and urgently needed. But Zipline hasn't yet proven that its business model is sustainable. So two technology reporters from IEEE Spectrum traveled to Rwanda to embed themselves in a Zipline operations center, and produced an in-depth report and a 360 video about the company's logistics and technology.
Submission + - When Charles Babbage played chess with the original Mechanical Turk (ieee.org)
This short essay argues that Babbage’s creative leap was inspired by an early example of AI hype: A supposed chess-playing machine called The Turk that had astounded onlookers throughout the courts of Europe. Babbage played two games against the Turk, and lost both.
Submission + - First Medical Device to Treat Alzheimer's Is Up for Approval by the FDA (ieee.org)
The CEO of the company behind the device, Neuronix, says that they're not attempting to cure the underlying biological causes of Alzheimer's. "We’re attempting to modify the course of the disease,” he says. The cognitive improvements last for up to a year, after which they fade away.
Submission + - Wireless Sensors for NICU Babies Enable Cuddling (ieee.org)
At Northwestern University, an electrical engineer who works on flexible, stretchable electronics teamed up with a pediatric dermatologist to invent a solution. They devised a system of stick-on wireless biosensors (with a gentle adhesive that's safe even for thin preemie skin) that actually provide more information than today's standard setup.
Submission + - Google Fiber abandoning Louisville residents with two months notice (theverge.com)
Google Fiber’s attempt to roll out its gigabit internet across the city of Louisville, Kentucky has apparently failed so spectacularly that the company has decided to completely shut down the service and leave town altogether. CNET has a report on the news, which Alphabet’s Access division confirmed in a blog post on Thursday. “We’ll work with our customers and partners to minimize disruption, and we’re committed to doing right by the community, which welcomed us as we tested methods of delivering high-speed internet in new and different ways,” the Fiber team said.
TechCrunch's take is that:
It’s a rare admission of defeat for Google Fiber, though it’s no secret that the company isn’t exactly bullish on the prospect of the service anymore. Louisville was supposed to be somewhat of a comeback for Google Fiber, which like so many Google services is now under more pressure to generate a profit. Clearly, that didn’t work out.
Submission + - Green New Deal Bill Aims To Move US To 100 Percent Renewable Energy (arstechnica.com)
The bill lists some of these consequences: $500 billion in lost annual economic output for the US by 2100, mass migration, bigger and more ferocious wildfires, and risk of more than $1 trillion in damage to US infrastructure and coastal property. To stop this, the bill says, the global greenhouse gas emissions from human sources must be reduced by 40 to 60 percent from 2010 levels by 2030, and we must reach net-zero emissions by 2050. [...] The Green New Deal specifically calls for a 10-year mobilization plan that would "achieve net-zero greenhouse gas emissions through a fair and just transition for all communities and workers" by creating "millions" of high-paying jobs through investment in US infrastructure. Specific kinds of infrastructure aren't listed, but general categories or works projects are outlined. Adaptive infrastructure tailored to communities, like higher sea walls and new drainage systems, would be included.
Submission + - Giving the humble stethoscope an AI upgrade could save millions of kids (ieee.org)
The researchers, from Johns Hopkins University, designed a smart stethoscope for use by unskilled workers in noisy medical clinics. It uses a dynamic audio filtering system to remove ambient noise and distracting body sounds while not interfering with the subtle sounds from the lungs. And it uses AI to analyze the cleaned-up signal and provide a diagnosis.
Submission + - AI Could Get Smarter by Copying the Neural Structure of a Rat Brain (ieee.org)
The intelligence agency is funding neuroscience teams to map 1 cubic millimeter of rodent brain, looking at activity in the visual cortex while the rodent is engaged in a complex visual recognition task. By discovering how the neural circuits in that brain cube get activated to process information, IARPA hopes to find inspiration for better artificial neural networks. And an AI that performs better on visual recognition tasks could certainly be useful to intelligence agencies.
Submission + - Neuroscientists offer a reality check on Facebook's "typing by brain" project (ieee.org)
Here, a few neuroscientists are asked: Is such a thing remotely feasible? One neuroscientist points out that his team set the current speed record for brain-typing earlier this year: They enabled a paralyzed man to type 8 words per minute, and that was using an invasive brain implant that could get high-fidelity signals from neurons. To date, all non-invasive methods that read brain signals through the scalp and skull have performed much worse.
Submission + - Neuroscientists Weigh in on Elon Musk's Mysterious "Neural Lace" Company (ieee.org)
But the news announcements about the company contained scant details about what kind of hardware Neuralink might actually build, and what engineering challenges the company will have to overcome in pursuit of miniaturized and safe brain implants. Here, five neuroscience experts describe those challenges, and give hints on what to expect from Musk's neural dust.