Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Frontiers

Living and learning with a blind mind’s eye: college students with aphantasia

Aphantasia, the inability to voluntarily generate visual mental imagery, affects approximately 2–5% of the population. The current study investigated how college students with aphantasia navigate ...
IEEE

Intelligent Omni-Surface-Aided Multi-Objective ISAC: A Meta Hybrid Deep Reinforcement Learning Approach

Abstract: This paper studies an intelligent omni-surface (IOS)-aided integrated sensing and communication (ISAC) system, where a base station (BS) provides simultaneous target sensing and ...
The Conversation

5 ways students can think about learning so that they can learn more − and how their teachers can help

Jerrid Kruse receives funding from the National Science Foundation, the NASA Iowa Space Grant Consortium, and the William G. Stowe Foundation. During my years teaching science in middle school, high ...
EurekAlert!

Reinforcement learning world models for catalyst surface reconstruction: state-of-the-art review

This work presents an AI-based world model framework that simulates atomic-level reconstructions in catalyst surfaces under dynamic conditions. Focusing on AgPd nanoalloys, it leverages Dreamer-style ...
Hosted on MSN

Supervised Learning Example | Easy Explanation with Real-Life Use Case

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
Scientific Research Publishing

The Recognition of Rail Surface State Based on Improved ResNet-50 Deep Learning Network ()

1 College of Intelligent Control, Hunan Railway Professional Technology College, Zhuzhou, China. 2 College of Rail Transit Locomotive and Rolling Stock, Hunan Railway Professional Technology College, ...
Scientific Research Publishing

Application of Machine Learning Methods in Parameter Prediction of Deep Lacustrine Oil Shale Reservoirs—Taking the Triassic Chang 7 in the Longdong Area as an Example ()

1 School of Earth Science and Engineering, Xi’an Shiyou University, Xi’an, China. 2 Key Laboratory of Petroleum Geology and Reservoir, Xi’an Shiyou University, Xi’an, China. In the course of oil and ...