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Artificial Intelligence

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·May 13, 2023·6 min read

Google Quantum AI Breaks Ground: Unraveling the Mystery of Non-Abelian Anyons

For the first time, Google Quantum AI has observed the peculiar behavior of non-Abelian anyons, particles with the potential to revolutionize quantum computing by making operations more resistant to noise. Non-Abelian anyons have the unique feature of retaining a sort of memory, allowing us to determine when they have been exchanged, even though they are identical. The team successfully used these anyons to perform quantum computations, opening a new path towards topological quantum computation. This significant discovery could be instrumental in the future of fault-tolerant topological quantum computing.

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·August 23, 2023·7 min read

Embracing Virtually: How Digital Interactions Mirror the Warmth of Real-World Hugs

The concept of "digital hugs" challenges the way we think about physical vs. online interactions. Recent research investigates how the feelings and experiences surrounding a hug can be translated and even amplified in digital spaces, especially during times when physical connections are limited.

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·September 24, 2016·5 min read

Teaching Computers to Identify Odors

Researchers use machine learning algorithms to train a computer to recognize the neural patters associated with various odors.

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·November 6, 2023·6 min read

Neural Implant Translates Brainwaves Into Words

A new speech prosthetic offers hope for those with speech-impairing neurological disorders. By converting brain signals into speech using high-density sensors and machine learning, the technology represents a significant advancement over current slower communication aids.

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·May 20, 2025·4 min read

Modeling Human Behavior with Math

A new study shows that mathematical models can shape human decisions more effectively than traditional psychological strategies. Researchers introduced “choice engineering,” a data-driven alternative to “choice architecture,” which relies on heuristics and intuition. In a global academic challenge, models like CATIE—designed to reflect real behavioral trends—outperformed both intuitive strategies and standard machine learning tools.

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·October 6, 2015·3 min read

Uncovering Clues About Abnormal Embryo Development with Artificial Intelligence

Researchers utilize artificial intelligence to help understand why some groups of cells deviate from normal development during embryogenesis.

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·April 19, 2023·6 min read

Brain Games Reveal Clues on How the Mind Works

Using data from the game "Ebb and Flow", researchers are training machine learning algorithms to mimic the human ability to switch attention between tasks. The findings shed new light on cognitive control and may expand the current understanding of disorders marked by cognitive control deficits, such as bipolar disorder and schizophrenia.

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·April 8, 2020·3 min read

Could a smartwatch identify an infection before you start spreading it?

A medical wrist device detected disrupted sleep patterns 24 hours before participants started shedding the flu virus. While the initial study was focused on influenza, researchers speculate the device could be sufficient at spotting the beginning of other infections, including COVID-19. While it should not be considered a full diagnostic device, the wristband data will be useful to guide when people should self isolate as a precaution.

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·February 20, 2020·7 min read

Artificial intelligence yields drug that halts antibiotic-resistant bacteria

A new deep learning algorithm helped researchers identify a powerful new antibiotic compound that kills many of the world's most problematic, disease-causing bacterias, including those which have so far been resistant to common antibiotics.

Featured Neuroscience Psychology

·September 18, 2022·5 min read

Personalized Prediction of Depression Treatment Outcomes With Wearables

A new multitask model artificial intelligence algorithm based on data from wearables predicts treatment outcomes on an individual basis for those with depression.

Featured Neuroscience Open Neuroscience Articles

·November 4, 2022·4 min read

Novel Deep Learning Method May Help Predict Cognitive Function

A novel deep learning method that uses graph convolutional neural networks (gCNNs) can predict cognitive function based on the brain's size and structure. The algorithm may provide insights into the relationship between brain morphology and different cognitive functions, as well as declines in cognitive function.