Why relaxing is so much work.
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The Intersection of AI and Human Intelligence
Rob LoCascio, the CEO of LivePerson, Inc., discusses conversational AI, artificial general intelligence, depression, and mental health.
An interview with Jeff Hawkins on how The Thousand Brains Theory of Intelligence may unlock true machine intelligence.
Physicists use AI machine learning to model model how simple, single-celled organisms move and navigate without a brain or nervous system.
Physicists use artificial intelligence (AI) deep learning to achieve cosmological simulations with super-resolution to accelerate a greater understanding of our universe.
A physicist at the National Institute of Standards and Technology (NIST) proposes an optoelectronic model for AGI inspired by the brain and neuroscience.
Physicists, applied AI machine learning to enable bio-inspired synthetic microswimmers to navigate—a step towards intelligent autonomous microscopic robots in the future.
A new European cognitive neuroscience study reveals that by using the “method of loci," long-term memory can be improved by anyone.
New AI tool accelerates the design of small molecules for potential new drugs.
University of Helsinki researchers use AI and brain-computer interface (BCI) technologies to generate attractive faces using brain data.
NVIDIA and Harvard AI deep learning tool called AtacWorks that denoises genomic sequencing data and find areas with accessible DNA that may help speed up life sciences research.
Stanford HAI releases the AI Index 2021 Annual Report, a comprehensive yearly analysis of the major transformations that are happening now in artificial intelligence worldwide.
Jeremy Bailenson on the psychological consequences of spending all day on video conferencing.
Researchers create an artificial intelligence (AI) framework to debias machine learning in biology. New study can help reduce bias and improve quality of biomedical research.
The history of AI computer vision—how cats from over 60 years ago led to machine learning technology that may drive your car in the future.
Researchers use AI machine learning and electronic health records to predict individuals at risk for pressure injuries (bedsores) with high precision.
New AI study shows how machine learning can be used to help distinguish bipolar disorder (BD) from major depressive disorder (MDD) to reduce mental health misdiagnosis.
A new study uses machine learning to search for potential blood biomarkers for autism spectrum disorder in boys.
A new study shows how an AI tool could help with drug repurposing.
A new study shows the feasibility of a non-invasive, early-detection diagnostic method for human prostate cancer using a combination of dogs’ sense of smell and AI machine learning.
Princeton's new AI machine learning algorithm capable of predicting planetary orbits that may one day help accelerate physics research in other areas such as renewable energy.
Scientists discovered a technique that improves the robustness and interpretability of machine learning in genomics. Breakthrough AI may accelerate future life sciences research.
There is a surprising fact about Alzheimer’s disease: two-thirds of those diagnosed in the U.S. are women. Maria Shriver and Dr. Sanjay Gupta honor recipients of $500,000 in grants.
New AI machine learning has real-time, human-like performance capabilities that is 2000 times faster than the state-of-the-art machine-based hearing solutions.
A new AI deep neural network extracts information on protein dynamics from cryo-electron microscopy. The deep learning tool may accelerate biomedical research in the future.
AI scientists create artificial human genomes using deep neural networks—an advancement that may help improve individual privacy and accelerate biomedical research.
World’s first AI tool for phenotype-based drug repurposing for COVID-19.
Researchers created a new neural network with increased fluid artificial intelligence called “liquid” machine learning for greater flexibility and transparency.
A new AI study describes a machine learning algorithm that was able to classify schizophrenia, based on brain images, with 87 percent accuracy.
A new study shows why deep learning outperforms standard machine learning in brain research.
In a step forward in endowing robots with human-like behavior, researchers at Columbia University showed how AI machine learning predicts a robot’s future actions by observation.
Cami Rosso writes about science, technology, innovation, and leadership.