New algorithm sharpens focus of world’s most powerful microscopes

New algorithm sharpens focus of world's most powerful microscopes
A composite image of the enzyme lactase showing how cryo-EM’s resolution has improved dramatically in recent years. Older images to the left, more recent to the right. Credit: Veronica Falconieri/National Cancer Institute

We’ve all seen that moment in a cop TV show where a detective is reviewing grainy, low-resolution security footage, spots a person of interest on the tape, and nonchalantly asks a CSI technician to “enhance that.” A few keyboard clicks later, and voila—they’ve got a perfect, clear picture of the suspect’s face. This, of course, does not work in the real world, as many film critics and people on the internet like to point out.


However, real-life scientists have recently developed a true “enhance” tool: one that improves the resolution and accuracy of powerful microscopes that are used to reveal insights into biology and medicine.

In a study published in Nature Methods, a multi-institutional team led by

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Algorithm can accurately identify COVID-19 cases, as well as distinguish them from influenza — ScienceDaily

A University of Central Florida researcher is part of a new study showing that artificial intelligence can be nearly as accurate as a physician in diagnosing COVID-19 in the lungs.

The study, recently published in Nature Communications, shows the new technique can also overcome some of the challenges of current testing.

Researchers demonstrated that an AI algorithm could be trained to classify COVID-19 pneumonia in computed tomography (CT) scans with up to 90 percent accuracy, as well as correctly identify positive cases 84 percent of the time and negative cases 93 percent of the time.

CT scans offer a deeper insight into COVID-19 diagnosis and progression as compared to the often-used reverse transcription-polymerase chain reaction, or RT-PCR, tests. These tests have high false negative rates, delays in processing and other challenges.

Another benefit to CT scans is that they can detect COVID-19 in people without symptoms, in those who have

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Amsterdam and Helsinki launch algorithm registries to bring transparency to public deployments of AI

Amsterdam and Helsinki today launched AI registries to detail how each city government uses algorithms to deliver services, some of the first major cities in the world to do so. An AI Register for each city was introduced in beta today as part of the Next Generation Internet Policy Summit, organized in part by the European Commission and the city of Amsterdam. The Amsterdam registry currently features a handful of algorithms, but it will be extended to include all algorithms following the collection of feedback at the virtual conference to lay out a European vision of the future of the internet, according to a city official.

Each algorithm cited in the registry lists datasets used to train a model, a description of how an algorithm is used, how humans utilize the prediction, and how algorithms were assessed for potential bias or risks. The registry also provides citizens a way

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ByteDance says it will not transfer algorithm to Oracle

The logos of the Chinese video portal TikTok and the US software and hardware manufacturer Oracle Corporation can be seen on a smartphone and screen on September 14, 2020 in Berlin, Germany.

Thomas Trutschel | Photothek | Getty Images

GUANGZHOU, China — ByteDance will not transfer algorithms and technologies to Oracle as part of a deal announced over the weekend to keep social media app TikTok operating in the U.S.

President Donald Trump said he approved a deal on Saturday that will see the creation of a U.S.-headquartered firm called TikTok Global with Oracle and Walmart taking minority stakes. Oracle will become TikTok’s secure cloud provider and host U.S. user data. 

But the deal does not entail any transfer of algorithms and technologies, according to a statement from ByteDance on Monday. The company said Oracle can instead check the source code. 

“The current plan does not involve the transfer of

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Apparent racial bias found in Twitter photo algorithm

An algorithm Twitter uses to decide how photos are cropped in people’s timelines appears to be automatically electing to display the faces of white people over people with darker skin pigmentation. The apparent bias was discovered in recent days by Twitter users posting photos on the social media platform. A Twitter spokesperson said the company plans to reevaluate the algorithm and make the results available for others to review or replicate.

Twitter scrapped its face detection algorithm in 2017 for a saliency detection algorithm, which is made to predict the most important part of an image. A Twitter spokesperson said today that no race or gender bias was found in evaluation of the algorithm before it was deployed “but it’s clear we have more analysis to do.”

Twitter engineer Zehan Wang tweeted that bias was detected in 2017 before

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