Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning Integration for Gene Identification

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
Frontiers

Signal Processing for Representation Learning: Theoretical Foundations and Emerging Applications

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...
Nature

AI and Machine Learning in Acoustic Signal Processing

In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio, an award-winning applied AI and machine-learning company, has just announced the launch of the Data Fusion Labeler (dFL) , a platform designed to harmonize, label, and prepare complex ...
Aalto University

Postdoctoral Researcher in Machine Learning and Room Acoustics

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...
News Medical

AI-driven advancements in electronic skin technology promise revolution in health monitoring and diagnostics

In a recent review article published in the journal Nature Medicine Intelligence, scientists at the California Institute of Technology discussed the involvement of artificial intelligence (AI) ...
Forbes

A Quantum Leap In AI: IonQ Aims To Create Quantum Machine Learning Models At The Level Of General Human Intelligence

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...