Machine Learning News and Research

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Machine learning is a subfield of artificial intelligence that focuses on developing algorithms and models capable of automatically learning and making predictions or decisions from data without being explicitly programmed. It involves training models on labeled datasets to recognize patterns and make accurate predictions or classifications in new, unseen data.

Unlocking Secure Homes: Blockchain and Machine Learning Revolutionize Smart Home Networks

Researchers propose a groundbreaking solution in the form of a blockchain layer and an enhanced Dragonfly algorithm to fortify smart home networks. This innovative approach ensures reliable user authentication, safeguards data privacy, and optimizes communication while paving the way for further advancements such as 5G integration and edge computing, promising secure and efficient smart homes of the future.

9 Jul 2023

Crystal Clear: Nagoya University Team Harnesses AI to Predict Crystal Orientation

A rapid and accurate technique using machine learning and optical images was developed to measure crystallographic orientations in multicrystalline materials, providing precise results with reduced error. This approach significantly improves efficiency compared to traditional methods, enabling comprehensive data collection for crystal growth analysis and material fabrication processes.

7 Jul 2023

Revolutionizing Quantum Machine Learning: Unlocking Unknown Unitaries with Breakthrough Training Approach

Learning unknown unitaries in Quantum Machine Learning (QML) is achieved through training with product states, enabling the understanding of unitary actions on entangled states. This breakthrough has implications for quantum dynamics learning and circuit compilation on near term quantum hardware.

7 Jul 2023

Unleashing the Power of Text Mining: Identifying AI Technologies for the Korean Semiconductor Industry

The study demonstrates the use of text mining to identify emerging ML/AI technologies in the Korean semiconductor industry, enabling SMEs to establish an R&D roadmap and enhance competitiveness. Deep neural networks and AI technology applications in semiconductor R&D and manufacturing processes were found to be crucial, with potential for improved reasoning, learning abilities, and process optimization.

6 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

Creating 3D Models of Historic Urban Neighborhoods Using Machine Learning

This research paper discusses a scalable workflow that uses machine learning techniques to extract building footprints and associated properties from Sanborn Fire Insurance maps, which contain detailed information about buildings in American cities dating back to the late 19th century. The extracted data can be used to create 3D models of historic urban neighborhoods and provide insights into urban transformations, particularly in relation to the impact of highway construction and urban renewal.

5 Jul 2023

From Ad Algorithms to Consumer Insights: The Evolution of AI Advertising

This article provides a comprehensive overview of the evolution of AI advertising research by analyzing literature from 1990 to 2022. It identifies key research areas, trends, and challenges in AI advertising and suggests future directions for integrating AI with marketing functions and improving ad effectiveness.

5 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

Revolutionizing Manufacturing: Harnessing AI and IoT for Smart Configurations

Manufacturing companies are embracing AI and IoT technologies to revolutionize their operations, achieve sustainability goals, and remain competitive. The implementation of smart configurations, such as digital twins, sensors, 5G networks, and advanced ML models, enables real-time monitoring, analysis, and optimization of production processes.

4 Jul 2023

Smart Glove Helps Stroke Patients Relearn Music and Motor Skills

Soft robotic hand exoskeleton coupled with machine learning algorithms enables relearning of piano playing by 'feeling' correct and incorrect versions of songs, demonstrating potential for aiding disabled individuals in relearning dexterous tasks.

3 Jul 2023

Persist AI Teams Up with Scispot to Halve Drug Formulation Time

Scispot has announced that Persist AI, an AI-driven biotech company specializing in the creation of long-acting microsphere formulations, has selected them to provide a robust data infrastructure.

29 Jun 2023

UCLA Geologists Harness AI to Revolutionize Landslide Prediction

UCLA geologists have devised an innovative method employing artificial intelligence to enhance the prediction of potential landslide locations, a development that could significantly boost safety measures in regions frequently afflicted by natural calamities.

28 Jun 2023

Quantum Machine Learning Leaps Ahead: Overparametrization Unlocks Enhanced Performance

Research demonstrates that overparametrization enhances quantum machine learning performance, surpassing classical computers. The study reveals the critical point at which adding parameters leads to improved network performance and easier training.

26 Jun 2023

Researchers Harness Drones and Machine Learning to Combat Multiflora Rose Threat

West Virginia University researchers have secured a $175,000 grant from the Richard King Mellon Foundation to combat the threat of multiflora rose, an invasive species affecting native plants in over 40 states. Leveraging drones equipped with sensors and machine learning technology, the project aims to develop software for detecting and treating multiflora rose and other invasives, potentially reducing herbicide usage and costs while promoting native species.

26 Jun 2023

Sketch-Driven AI: A Game-Changer in Cancer Detection and More

Surrey University unveils a pioneering sketch-driven AI tool, promising to revolutionize object identification in images with wide applications, including transforming cancer diagnosis and aiding wildlife preservation initiatives.

26 Jun 2023

Machine Learning News and Research

Unlocking Secure Homes: Blockchain and Machine Learning Revolutionize Smart Home Networks

Crystal Clear: Nagoya University Team Harnesses AI to Predict Crystal Orientation

Revolutionizing Quantum Machine Learning: Unlocking Unknown Unitaries with Breakthrough Training Approach

Unleashing the Power of Text Mining: Identifying AI Technologies for the Korean Semiconductor Industry

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

Creating 3D Models of Historic Urban Neighborhoods Using Machine Learning

From Ad Algorithms to Consumer Insights: The Evolution of AI Advertising

Advancing Emotional Speech Recognition Using Deep Learning

Revolutionizing Manufacturing: Harnessing AI and IoT for Smart Configurations

Smart Glove Helps Stroke Patients Relearn Music and Motor Skills

Persist AI Teams Up with Scispot to Halve Drug Formulation Time

UCLA Geologists Harness AI to Revolutionize Landslide Prediction

Quantum Machine Learning Leaps Ahead: Overparametrization Unlocks Enhanced Performance

Researchers Harness Drones and Machine Learning to Combat Multiflora Rose Threat

Sketch-Driven AI: A Game-Changer in Cancer Detection and More

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