Reducing Toxic AI Responses – Neuroscience News

Reducing Toxic AI Responses – Neuroscience News

Summary: Researchers developed a new machine learning technique to improve red-teaming, a process used to test AI models for safety by identifying prompts that trigger toxic responses. By employing a curiosity-driven exploration method, their approach encourages a red-team model to generate diverse and novel prompts that reveal potential weaknesses in AI systems. This method has …

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AI vs. Human Empathy: Machine Learning More Empathetic

AI vs. Human Empathy: Machine Learning More Empathetic

Summary: AI-generated messages can make recipients feel more “heard” compared to responses from untrained humans. The research demonstrates AI’s superior ability to detect and respond to human emotions, potentially providing better emotional support. However, the study also found that knowing a message is from AI can make recipients feel less heard, highlighting a bias against …

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AI Finds Personality Shapes Genes

AI Finds Personality Shapes Genes

Summary: Our personalities can significantly influence gene expression, providing new insights into the mind-body connection. Using data from the long-term Young Finns Study, researchers discovered a network of 4,000 genes that adapt their expression based on individuals’ personality traits, impacting health and well-being. The study identified two crucial findings: a modular gene network expressed in …

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Dimensionality reduction for images of IoT using machine learning

Dimensionality reduction for images of IoT using machine learning

This section describes the experiments and the results. Experiment preparation In our approach, a dataset comprising 6000 images has been used to train the autoencoder. The trained model will be used in the experiments to perform dimensionality reduction with the image data at the edge. The training performed on a machine has the following benefits: …

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AI Predicts Movement from Brain Data

AI Predicts Movement from Brain Data

Summary: Researchers developed an AI algorithm capable of predicting mouse movement with a 95% accuracy by analyzing whole-cortex functional imaging data, potentially revolutionizing brain-machine interface technology. The team’s end-to-end deep learning method requires no data preprocessing and can make accurate predictions based on just 0.17 seconds of imaging data. Furthermore, they devised a technique to …

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AI and Mindfulness: A New Way to Manage Pain

AI and Mindfulness: A New Way to Manage Pain

Summary: A new study examines the potential of artificial intelligence to shift chronic pain treatment from opioids to mindfulness-based stress reduction (MBSR). Utilizing machine learning to analyze extensive patient data, the study aims to predict which patients will benefit most from MBSR, a critical step towards personalized medicine. By focusing on chronic lower back pain …

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Mapping Disease Trajectories from Birth to Death with AI

Mapping Disease Trajectories from Birth to Death with AI

Summary: Researchers mapped disease trajectories from birth to death, analyzing over 44 million hospital stays in Austria to uncover patterns of multimorbidity across different age groups. Their groundbreaking study identified 1,260 distinct disease trajectories, revealing critical moments where early and personalized prevention could alter a patient’s health outcome significantly. For instance, young men with sleep …

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Neural Decoding Unveils Secrets of Navigation

Neural Decoding Unveils Secrets of Navigation

Summary: A new study combines deep learning with neural activity data from mice to unlock the mystery of how they navigate their environment. By analyzing the firing patterns of “head direction” neurons and “grid cells,” researchers can now accurately predict a mouse’s location and orientation, shedding light on the complex brain functions involved in navigation. …

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