Deep Learning News and Research

RSS

Deep Learning is a subset of machine learning that uses artificial neural networks with multiple layers (hence "deep") to model and understand complex patterns in datasets. It's particularly effective for tasks like image and speech recognition, natural language processing, and translation, and it's the technology behind many advanced AI systems.

SNRNN: Unleashing the Power of Ensemble Learning for Accurate Earthquake Detection

Researchers introduce the Stacked Normalized Recurrent Neural Network (SNRNN), an ensemble learning model that combines the strengths of three recurrent neural network (RNN) models for accurate earthquake detection. By leveraging ensemble learning and normalization techniques, the SNRNN model demonstrates superior performance in estimating earthquake magnitudes and depths, outperforming individual RNN models.

14 Jul 2023

CAT-ViL: A Transformer-Based Approach for Surgical Visual Question Localized Answering

Researchers propose a novel Transformer model with CoAttention gated vision language (CAT-ViL) embedding for surgical visual question localized answering (VQLA) tasks. The model effectively fuses multimodal features and provides localized answers, demonstrating its potential for real-world applications in surgical training and understanding.

13 Jul 2023

Unleashing AI's Potential: GPT-4 Empowers Knowledge Extraction in Synthetic Biology

Researchers utilize GPT-4, an advanced natural language processing tool, to automate information extraction from scientific articles in synthetic biology. Through the integration of AI and machine learning, they demonstrate the effectiveness of data-driven approaches for predicting fermentation outcomes and expanding the understanding of nonconventional yeast factories, paving the way for faster advancements in biomanufacturing and design.

13 Jul 2023

Unleashing the Power of Remotely Sensed Big Data: Transforming Archaeological Research with Google Earth Engine

Researchers explore the game-changing capabilities of Google Earth Engine (GEE) in revolutionizing archaeological research. By bridging the gap between remotely sensed big data (RSBD) and archaeological analysis, GEE overcomes challenges related to data access, computational resources, and methodological awareness.

12 Jul 2023

Precision Agriculture: Automated Grading and Sorting of Carrots Using Computer Vision

A groundbreaking study presents a framework that leverages computer vision and artificial intelligence to automate the inspection process in the food industry, specifically for grading and sorting carrots. By incorporating RGB and depth information from a depth sensor, the system accurately identifies the geometric properties of carrots in real-time, revolutionizing traditional grading methods.

12 Jul 2023

Smart Seas: Revolutionizing Aquaculture with AIoT and Digital Twin-Based Intelligent Fish Farming

The integration of AIoT and digital twin technology in aquaculture holds the key to revolutionizing fish farming. By combining real-time data collection, cloud computing, and AI functionalities, intelligent fish farming systems enable remote monitoring, precise fish health assessment, optimized feeding strategies, and enhanced productivity. This integration presents significant implications for the industry, paving the way for sustainable practices and improved food security.

11 Jul 2023

Eyes on the Road: Detecting Driver Distraction in Australian Naturalistic Driving Study using Deep Learning

Researchers present a deep learning framework using pre-trained models and transfer learning to automate distraction detection in Australian Naturalistic Driving Study (ANDS) video data. By analyzing spatial and temporal correlations in the videos, the framework achieved promising results in identifying distractions from face and dashboard cameras. Further improvements and future work include expanding the training dataset and exploring approaches for robust distraction detection.

11 Jul 2023

The Future of Large Language Models in Healthcare: Balancing Potential Benefits and Risks

This article discusses the need for regulatory oversight of large language models (LLMs)/generative artificial intelligence (AI) in healthcare. LLMs can be implemented in healthcare settings to summarize research papers, obtain insurance pre-authorization, and facilitate clinical documentation. LLMs can also improve research equity and scientific writing, improve personalized learning in medical education, streamline the healthcare workflow, work as a chatbot to answer patient queries and address their concerns, and assist physicians to diagnose conditions based on laboratory results and medical records.

11 Jul 2023

Powering Superconductivity with AI: Unlocking Potential and Overcoming Challenges

This article reviews the transformative impact of artificial intelligence (AI) techniques such as deep learning and machine learning in the field of superconductivity. From condition monitoring and design optimization to intelligent modeling and estimation, AI offers innovative solutions to overcome challenges, accelerate commercialization, and unlock new opportunities in the realm of superconducting technologies and materials.

10 Jul 2023

Sky High Insights: Estimating Building Heights with DLIPHE Algorithm and Google Street View

Researchers propose DLIPHE, a novel algorithm that combines deep learning and image processing, to estimate building heights using static Google Street View images. The algorithm employs semantic segmentation and advanced techniques to identify buildings and extract their contours, enabling real-time and automatic height estimation for aerial devices. The study demonstrates promising results, highlighting the potential for DLIPHE to enhance communication paths for unmanned aerial vehicles (UAVs) and electric vertical take-off and landing aircraft (eVTOLs) in future urban networks.

10 Jul 2023

Unmasking Android Malware: A Comprehensive Review of Machine Learning Detection Techniques

Researchers present a thorough analysis of machine learning (ML) methods for detecting Android malware, highlighting the escalating threat to mobile device security. This review article explores the effectiveness of diverse ML algorithms, emphasizing the importance of dataset selection and evaluation metrics, while also identifying limitations and proposing avenues for future research in this critical domain.

10 Jul 2023

Researchers Develop Breakthrough Machine Learning Method to Revolutionize Electronic Structure Simulations

Researchers from CASUS and Sandia National Laboratories have introduced Materials Learning Algorithms (MALA), a groundbreaking software stack that employs machine learning to simulate electronic structures of materials. MALA surpasses traditional methods, providing high fidelity and scalability across various length scales, opening doors to advancements in drug design, energy storage, and more.

10 Jul 2023

AI-Powered TIGER Predicts On- and Off-Target CRISPR Activity for RNA Editing, Paves Way for Precise Gene Therapies

Researchers from New York University, Columbia Engineering, and the New York Genome Center have developed an artificial intelligence model, called TIGER, that combines deep learning with CRISPR screens to predict the on- and off-target activity of RNA-targeting CRISPR tools.

10 Jul 2023

Revolutionizing Superconductivity: Harnessing AI, Machine Learning, Deep Learning, and Big Data

This groundbreaking study explores the transformative potential of artificial intelligence, machine learning, deep learning, and big data in revolutionizing the field of superconductivity. The integration of these cutting-edge technologies promises to enhance the development, production, operation, fault identification, and condition monitoring of superconducting devices and systems.

9 Jul 2023

Safeguarding IoT: Intelligent Anomaly Detection with Federated Learning and Machine Learning

The study proposes a smart system for monitoring and detecting anomalies in IoT devices by leveraging federated learning and machine learning techniques. The system analyzes system call traces to detect intrusions, achieving high accuracy in classifying benign and malicious samples while ensuring data privacy. Future research directions include incorporating deep learning techniques, implementing multi-class classification, and adapting the system to handle the scale and complexity of IoT deployments.

6 Jul 2023

Planting the Future: Generating Key Questions in Plant Science with ChatGPT

The study explores the use of large language models (LLMs), specifically ChatGPT, to generate important questions in plant science. ChatGPT successfully generated relevant questions, highlighting the importance of sustainable products, plant-environment interactions, plant mechanisms, and enhanced plant traits. While ChatGPT overlooked certain aspects emphasized by researchers, it demonstrated its potential as a supportive tool in plant science research.

6 Jul 2023

Advancing Emotional Speech Recognition Using Deep Learning

Researchers introduce a speech emotion recognition (SER) system that accurately predicts a speaker's emotional state using audio signals. By employing convolutional neural networks (CNN) and Mel-frequency cepstral coefficients (MFCC) for feature extraction, the proposed system outperforms existing approaches, showcasing its potential in various applications such as human-computer interaction and emotion-aware technologies.

5 Jul 2023

PETAL: AI-Enabled Sensor Patches for Wound Monitoring

Researchers have developed the PETAL sensor patch, a paper-like wearable device that incorporates five colorimetric sensors for comprehensive wound monitoring. With the aid of artificial intelligence and deep learning algorithms, the patch accurately classifies wound healing status, providing early warning for timely intervention and enhancing wound care management.

4 Jul 2023

Engineers Develop Breakthrough Video Technology That 'Sees' Through Fog, Smoke, and Flesh

Engineers at Rice University and the University of Maryland have developed NeuWS, a full-motion video technology capable of seeing through scattering media like fog, smoke, and even body tissues. The technology uses a combination of neural networks and complex wavefront shaping techniques to rapidly measure and correct for light scattering, overcoming a significant challenge in optical imaging.

28 Jun 2023

Game Changer in Emergency Response: AI System Learns to Detect Natural Disasters from Social Media Images

Large-scale multi-label dataset, Incidents1M, is introduced for incident detection and image-filtering experiments on social media. It enables timely understanding of natural disaster progression and aftermath using automated methods.

28 Jun 2023

Deep Learning News and Research

SNRNN: Unleashing the Power of Ensemble Learning for Accurate Earthquake Detection

CAT-ViL: A Transformer-Based Approach for Surgical Visual Question Localized Answering

Unleashing AI's Potential: GPT-4 Empowers Knowledge Extraction in Synthetic Biology

Unleashing the Power of Remotely Sensed Big Data: Transforming Archaeological Research with Google Earth Engine

Precision Agriculture: Automated Grading and Sorting of Carrots Using Computer Vision

Smart Seas: Revolutionizing Aquaculture with AIoT and Digital Twin-Based Intelligent Fish Farming

Eyes on the Road: Detecting Driver Distraction in Australian Naturalistic Driving Study using Deep Learning

The Future of Large Language Models in Healthcare: Balancing Potential Benefits and Risks

Powering Superconductivity with AI: Unlocking Potential and Overcoming Challenges

Sky High Insights: Estimating Building Heights with DLIPHE Algorithm and Google Street View

Unmasking Android Malware: A Comprehensive Review of Machine Learning Detection Techniques

Researchers Develop Breakthrough Machine Learning Method to Revolutionize Electronic Structure Simulations

AI-Powered TIGER Predicts On- and Off-Target CRISPR Activity for RNA Editing, Paves Way for Precise Gene Therapies

Revolutionizing Superconductivity: Harnessing AI, Machine Learning, Deep Learning, and Big Data

Safeguarding IoT: Intelligent Anomaly Detection with Federated Learning and Machine Learning

Planting the Future: Generating Key Questions in Plant Science with ChatGPT

Advancing Emotional Speech Recognition Using Deep Learning

PETAL: AI-Enabled Sensor Patches for Wound Monitoring

Engineers Develop Breakthrough Video Technology That 'Sees' Through Fog, Smoke, and Flesh

Game Changer in Emergency Response: AI System Learns to Detect Natural Disasters from Social Media Images

Trending Stories

AI & Machine Learning in Industry eBook

Latest AI News