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AANS

·March 29, 2025·4 min read

Infomorphic Neurons Bring AI One Step Closer to Brain-Like Learning

Researchers have developed a new kind of artificial neuron—called infomorphic neurons—that can independently learn and self-organize with nearby neurons, mimicking the decentralized learning of biological brains. Inspired by pyramidal cells in the cerebral cortex, these neurons process local signals to adapt and specialize in tasks without external control.

This shows the outline of a computerized head.

Featured Neuroscience

·October 15, 2024·3 min read

Vulnerability Found in AI Image Recognition

A new study reveals a vulnerability in AI image recognition systems due to their exclusion of the alpha channel, which controls image transparency. Researchers developed "AlphaDog," an attack method that manipulates transparency in images, allowing hackers to distort visuals like road signs or medical scans in ways undetectable by AI. Tested across 100 AI models, AlphaDog exploits this transparency flaw, posing significant risks to road safety and healthcare diagnostics.

Featured Neuroscience

·August 25, 2024·7 min read

AI Models Complex Molecular States with Precision

Researchers developed a brain-inspired AI technique using neural networks to model the challenging quantum states of molecules, crucial for technologies like solar panels and photocatalysts. This new approach significantly improves accuracy, enabling better prediction of molecular behaviors during energy transitions. By enhancing our understanding of molecular excited states, this research could revolutionize material prototyping and chemical synthesis.

Featured Neuroscience Visual Neuroscience

·March 6, 2024·4 min read

Real Person or Deepfake? Can You Tell?

A new study reveals a significant challenge in distinguishing real from AI-generated images, with only 61% of participants accurately identifying them—far below the anticipated 85%. The study involved 260 people evaluating 20 photos, half sourced from Google and half produced by AI programs like Stable Diffusion or DALL-E, focusing on details like fingers, eyes, and teeth to make their judgments.

This shows a mix of real people's faces and AI generated faces

Featured Neuroscience Psychology

·February 14, 2022·3 min read

AI Generated Faces Are More Trustworthy Than Real Faces Say Researchers Who Warn of “Deep Fakes”

People have trouble distinguishing between real people's faces and AI StyleGAN2 synthesized faces. People also consider AI-generated faces to be more trustworthy.

Featured Neuroscience

·October 19, 2021·6 min read

Artificial Networks Learn to Smell Like the Brain

A new machine-learning algorithm is able to teach itself to smell within a few minutes of training. As it learns, the system builds an artificial network that mimics the brain's olfactory system.

Featured Neurology Neuroscience

·September 3, 2021·5 min read

AI Can Predict Possible Alzheimer’s With Nearly 100 Percent Accuracy

A new AI algorithm can predict the onset of Alzheimer's disease with an accuracy of over 99% by analyzing fMRI brain scans.

Featured Neuroscience

·August 21, 2021·5 min read

Neural Network Models of the Future – The Key to Unlocking How Our Brain Works

Researchers discuss different current neural network models and consider the steps that need to be taken to make them more realistic, and thus more useful, as possible.

Featured Neuroscience

·August 9, 2021·3 min read

Brain Connectivity Can Build Better AI

Artificial neural networks modeled on human brain connectivity can effectively perform complex cognitive tasks.

This shows a man's face marked with points where people look

Autism Featured Neuroscience Open Neuroscience Articles

·August 5, 2021·3 min read

Why People With Autism Read Facial Expressions Differently

Artificial neural networks help researchers uncover new clues as to why people on the autism spectrum have trouble interpreting facial expressions.

Featured Neuroscience

·May 25, 2021·5 min read

AI Spots Neurons Better Than Human Experts

A new deep learning algorithm is superior to human experts in distinguishing between retinal ganglion cells in healthy patients and in those with glaucoma. The AI system could potentially help improve the diagnosis of both eye and brain diseases.