Images containing various atlas and graphs
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Underwater Atlas

The ocean contains distinct ecosystems, but they’re much harder to see than terrestrial forests or savannas. A new model helps scientists better understand patterns of undersea life, which is threatened by pollution, invasive species, and warming temperatures.
Data and graphs related to a method that synthesizes extracted features of underrepresented classes
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Augmentation for Features

In any training dataset, some classes may have relatively few examples. A new technique can improve a trained model’s performance on such underrepresented classes. Researchers introduced a method that synthesizes extracted features of underrepresented classes.
Pumpjacks extracting oil during sunset
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Do Oil and Algorithms Mix?

Amazon, Google, and Microsoft are developing machine learning tools for the fossil fuel industry even as they pledge to limit greenhouse gas emissions.
Supermarket empty shelves
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New Behaviors Derail Old Training

The pandemic has radically altered online shopping behavior, throwing a wrench into many AI systems. AI inventory trackers, recommendation algorithms, and fraud detection systems trained on pre-pandemic consumer behavior have been flummoxed by the different ways people now browse, binge, and buy.
Colorful chemical fragments bind to the main protease of the SARS-CoV-2 virus
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Crowdsourcing a Cure

Researchers are drawing up blueprints for drugs to fight Covid-19. Machine learning is identifying those most likely to be effective. Covid Moonshot, an international group of scientists in academia and industry, is crowdsourcing designs for molecules with potential to thwart the coronavirus.
Data related to reinforcement learning and optimization of worker productivity and income equality
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Taxation With Vector Representation

Governments have struggled to find a tax formula that promotes prosperity without creating extremes of wealth and poverty. Can machine learning show the way?
Animated pie chart
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Triage for Pandemic Patients

Israeli and American hospitals are using an algorithm to flag individuals at high risk for Covid-19 complications.
Data and information related to people detection in a room with a Wi-Fi router
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Room With a View

Your body disturbs Wi-Fi signals as you move through them. New research takes advantage of the effect to recognize the presence of people. Yang Liu and colleagues at Syracuse University detected people in a room with a Wi-Fi router by analyzing the signal.
Graphs and data related to Scan2Plan, a model that segments 3D scans of empty indoor spaces into floor plans
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Finding a Floor Plan

Robot vacuum cleaners are pretty good at navigating rooms, but they still get stuck in tight spaces. New work takes a step toward giving them the smarts they’ll need to escape the bathroom.
Precision Health Toilet illustration
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A Neural Net in Every Bathroom

It’s time to stop flushing valuable data down the toilet. The Precision Health Toilet, a suite of sensors that attach to an ordinary commode, monitors human waste for input for signs of disease. It identifies individual users by scanning where the sun doesn’t shine.
Information related to machine learning and Covid-19
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First, Make No Harmful Models

Researchers have rushed out a battery of AI-powered tools to combat the coronavirus, but an assessment of dozens of models is a wake-up call for machine learning engineers.
Information related to a convolutional neural network that predicts corn yields in fields
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AI on the Cob

Deep learning research is harvesting better ways to manage farms. A convolutional neural network predicted corn yields in fields across the U.S. Midwest.
Eric Topol illustration
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A Visionary Doctor Prescribes AI

Eric Topol is one of the world’s leading advocates for AI in medicine. Below he shares his insights into the fusion of AI and medicine and advice for machine learning engineers who want to get involved.
Illustration of doctor seeing a patient
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Diagnosis: The Telltale Heart

The wearable revolution is helping doctors figure out what’s troubling your ticker — thanks to deep learning. The problem: Arrhythmias, a range of conditions in which the heart beats too fast, too slow, or erratically, can cause heart attack or stroke.
Illustration of a patient in a hospital bed
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Prognosis: Early Warning for Sepsis

An AI-driven alarm system helps rescue patients before infections become fatal. The problem: Machine learning can spot patterns in electronic health data indicating where a patient’s condition is headed that may be too subtle for doctors and nurses to catch.

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