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.

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