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Deep Learning

·October 17, 2024·6 min read

People Empathize with Bullied AI Bots

People empathize with AI bots excluded from a virtual game, treating them like social beings in need of fairness. Participants favored giving the AI bot a fair chance in play, with older adults showing a stronger inclination to rectify the perceived unfairness.

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 Neurology Neuroscience

·October 15, 2024·3 min read

AI-Enhanced MRIs Show Potential for Brain Abnormality Detection

Researchers have developed a machine learning model that upgrades 3T MRI images to mimic the higher-resolution 7T MRI, providing enhanced detail for detecting brain abnormalities. The synthetic 7T images reveal finer features, such as white matter lesions and subcortical microbleeds, which are often difficult to see with standard MRI systems. This AI-driven approach could improve diagnostic accuracy for conditions like traumatic brain injury (TBI) and multiple sclerosis (MS), though clinical validation is needed before wider use.

This is a drawing of a doctor looking at a computer monitor.

Featured Neuroscience

·October 15, 2024·4 min read

Integrating Machine Learning Boosts Disease Prediction Accuracy

A recent review explored how integrating machine learning with traditional statistical models can enhance disease risk prediction accuracy, a key tool in clinical decision-making. While traditional models like logistic regression are limited by certain assumptions, machine learning offers flexibility but has inconsistent results in some cases. The study revealed that combined models, especially stacking methods, outperform individual methods by harnessing each approach’s strengths and addressing their weaknesses.

Featured Neuroscience Psychology

·October 11, 2024·5 min read

From Face to Feeling: Context Shapes Emotion Recognition

Emotion recognition extends far beyond facial expressions, involving a rich interplay of context, physical attributes, and background knowledge. Researchers propose that recognizing emotion is part of forming an overall impression of a person, shaped by cues like clothing, perceived social roles, and personal history. For instance, a facial expression of fear might be interpreted as anger if background context suggests it.

Featured Neuroscience

·October 10, 2024·4 min read

Can AI Tackle Abstract Reasoning? Study Tests Cognitive Limits

Researchers tested artificial intelligence’s ability to solve abstract visual puzzles similar to human IQ tests, revealing gaps in AI’s reasoning skills. Open-source AI models struggled, while closed-source models like GPT-4V performed better, but far from perfectly.

Featured Neuroscience

·October 9, 2024·8 min read

Electronic Tongue Uses AI to Detect Differences in Liquids

Researchers have developed an AI-powered "electronic tongue" capable of distinguishing subtle differences in liquids, such as milk freshness, soda types, and coffee blends. By analyzing sensor data through a neural network, the device achieved over 95% accuracy in identifying liquid quality, authenticity, and potential safety issues. Interestingly, when the AI was allowed to select its own analysis parameters, it outperformed human-defined settings, showing how it holistically assessed subtle data.

Featured Neuroscience

·October 9, 2024·5 min read

AI Discovers 161,000 New Viruses

A novel study study using AI has uncovered 161,979 new RNA viruses, significantly expanding our understanding of Earth's viral diversity. These discoveries were made by analyzing genetic data using a machine learning model, which identified previously unrecognized viruses hidden in public databases.

Featured Genetics Neuroscience

·October 9, 2024·3 min read

Nobel Prize Honors Breakthroughs in Protein Design and Structure Prediction

The 2024 Nobel Prize in Chemistry celebrates two groundbreaking achievements in protein science: designing novel proteins and predicting protein structures using AI. David Baker has pioneered techniques to construct entirely new proteins that could serve as pharmaceuticals, vaccines, and nanomaterials. Meanwhile, Demis Hassabis and John Jumper’s AI model, AlphaFold2, solved the decades-old challenge of predicting protein structures, allowing researchers to visualize nearly all known proteins. These advancements hold transformative potential for fields like medicine, biotechnology, and environmental science.

Featured Neuroscience

·October 8, 2024·3 min read

Pioneers in Neural Networks Win 2024 Nobel Prize in Physics

Professors John J. Hopfield and Geoffrey E. Hinton have been awarded the 2024 Nobel Prize in Physics for their groundbreaking work on artificial neural networks, which laid the foundation for modern machine learning. Hopfield invented a network that recalls saved images by adjusting its "energy" based on physics principles, while Hinton expanded this model to create the Boltzmann machine, enabling it to classify and generate complex patterns. Their work has catalyzed advancements in AI, shaping tools that learn from data and recognize patterns. These contributions have profoundly influenced both neuroscience and computational science.

Brain Cancer Featured Neurology Neuroscience

·October 8, 2024·5 min read

Sex-Based Differences in Brain Cancer Risks Revealed by AI

Researchers developed an AI model to identify sex-specific risk factors in aggressive brain cancer, glioblastoma. Using digital pathology slides, the model detects subtle patterns in tumors that correlate with patient survival times and differ by sex.

Featured Neuroscience

·October 7, 2024·6 min read

Unlocking Pareidolia: Why AI and Humans See Faces in Objects

A recent study delves into pareidolia, the human tendency to perceive faces in inanimate objects, revealing how humans and AI detect illusory faces. Researchers found that AI models are significantly better at detecting pareidolic faces after being trained to recognize animal faces, hinting at an evolutionary link.