A loving relationship can be an oasis in uncertain times, but nurturing it requires attention, honesty, openness, vulnerability, and gratitude.
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The Intersection of AI and Human Intelligence
Harvard and MIT's new AI deep learning models that predict the efficacy of RNA-based tools are tested on the SARS-CoV-2 coronavirus.
Caltech researchers create a new deep learning method for quantum chemistry that performs computations 1,000 times faster than existing solutions.
A new machine-learning algorithm accelerates metabolic engineering for synthetic biology.
The University of Helsinki uses AI machine learning and GANs for a brain-computer interface that can imagine what you’re thinking to create new images.
New research study shows state-of-the-art AI performance from neural networks by deploying a new twist on mimicking brain replay.
How the uncanny valley theory, a concept that emerged half a century ago, may impact the future of automation.
Researchers create a new energy-efficient artificial neural network without sacrificing accuracy.
Researchers created a machine learning algorithm that can predict how a chemical will smell to a person—accelerating the digital disruption of the fragrance and flavor industry.
UCSF unveils a "plug and play" brain-computer interface that enables a paralyzed person to control the computer using the brain without daily recalibration.
Elon Musk unveils Neuralink's brain-computer interface in a demo with live pigs.
A new CDC report provides insights on a rare, but severe Kawasaki disease-like multisystem inflammatory syndrome in children (MIS-C) associated with COVID-19.
A new report shows a 90 percent jump in COVID-19 cases in U.S. children from July 9-Aug. 6, 2020, per the American Academy of Pediatrics and Children’s Hospital Association.
Recent surveys show that people around the world are experiencing anxiety and depression due to the COVID-19 pandemic.
A new MIT study reveals novel insights about how deep learning networks work to help further demystify the black box of AI machine learning.
Optogenetics enables artificial and biological neuronal networks to communicate.
UCLA researchers have developed a deep neural network that can detect harmful bacteria from a water sample up to 12 hours faster than the current gold-standard EPA methods.
A new study demonstrates a machine learning algorithm that predicts aspects of antidepressant efficacy based on brain waves and pretreatment symptoms.
Atomwise announced 15 collaborations to accelerate exploration of broad-spectrum therapies for COVID-19 and other viruses using its AI neural network tech.
How one company is working to accelerate drug discovery to treat the SARS-CoV-2 coronavirus and fight the ongoing global pandemic.
Maria Shriver shares a new myth-busting report backed by science that may explain why women are at greater risk for Alzheimer's and dementia due to many factors, not just age.
Bar-Ilan University researchers' discovery bridges experimental neuroscience with advanced AI machine learning algorithms.
Researchers discovered an instability phenomenon when using AI for image reconstructions that could lead to inaccurate medical diagnoses.
Bryan Johnson's Kernel emerged from stealth mode to launch its Neuroscience as a Service (NaaS) platform to provide on-demand non-invasive brain recording capabilities.
Scientists at the University of California San Francisco and Mammoth Biosciences created a novel test that uses CRISPR to detect SARS-CoV-2, the coronavirus that causes COVID-19.
Researchers use AI to show that the brain’s neural hubs, rather than brain regions, are strong predictors of learning difficulties in children.
UCSF neuroscientists create a brain-computer interface that is able to translate human brain activity into text with relatively high accuracy and at natural-speech rates.
FluSense uses AI to detect viral outbreaks like COVID-19 based on coughs and heat images in public spaces.
The Allen Institute for Artificial Intelligence (AI2), Microsoft, and others aim to accelerate coronavirus research with the launch of COVID-19 Open Research Dataset (CORD-19).
Scientists from the Weizmann Institute of Science and Hebrew University launched an AI pilot to detect SARS-CoV-2 coronavirus hotspots and predict COVID-19 outbreaks.
MIT spinout biotech E25Bio plans to submit to the FDA a diagnostic test that can deliver results in 20 minutes for the SARS-CoV-2 coronavirus that causes COVID-19.
Cami Rosso writes about science, technology, innovation, and leadership.