Researchers map how the brain regulates emotions
Have you ever felt like screaming on a really tough day, but somehow managed to hold it in? You can ...
Tag: Researchers
Researchers at Rutgers University Propose AIOS: An LLM Agent Operating System that Embeds Large Language Model into Operating Systems (OS) as the Brain of the OS
Artificial intelligence (AI) has introduced a dynamic shift in various sectors, most notably by deploying autonomous agents capable of independent ...
Researchers from Tsinghua University Proposes a Novel Slide Loss Function to Enhance SVM Classification for Robust Machine Learning
In machine learning, one method that has consistently demonstrated its worth across various applications is the Support Vector Machine (SVM). ...
Researchers introduce enhanced brain signal analysis technique
Researchers at the University of Minnesota Medical School have developed a new method for analyzing brain signals, leading to a ...
Google Health Researchers Propose HEAL: A Methodology to Quantitatively Assess whether Machine Learning-based Health Technologies Perform Equitably
Health equity is a pressing global concern characterized by persistent and widening health disparities. These disparities, rooted in multifaceted barriers ...
Researchers at Google AI Present a Machine Learning-based Approach to Teach Powerful LLMs How to Better Reason with Graph Information
Picture everything in your immediate vicinity, from your friends and family to the utensils in your kitchen and the components ...
Researchers from MIT and Harvard Developed UNITS: A Unified Machine Learning Model for Time Series Analysis that Supports a Universal Task Specification Across Various Tasks
Time series analysis is crucial in finance, healthcare, and environmental monitoring. The challenge lies in the diversity of time series ...
Amazon AI Researchers Introduce Chronos: A New Machine Learning Framework for Pretrained Probabilistic Time Series Models
Accurate forecasting tools are crucial in industries such as retail, finance, and healthcare, and they are constantly advancing toward greater ...
Training Value Functions via Classification for Scalable Deep Reinforcement Learning: Study by Google DeepMind Researchers and Others
Value functions are a core component of deep reinforcement learning (RL). Value functions, implemented with neural networks, undergo training via ...
Researchers enhance peripheral vision in AI models | MIT News
Humans have the ability of peripheral vision, allowing them to see shapes outside their direct line of sight, although with ...
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