Blogs - AI & Machine Learning
Building Intelligent Audio Systems- Audio Feature Extraction using Machine Learning
Given the recent trends in machine learning and deep learning, we have tried to give a high-level overview of how digital signal processing, machine learning, and deep learning algorithms can go hand-in-hand to categorize or draw inferences from audio signals. Audio-specific neural network models can also be built using signal processing, machine learning, and deep learning (neural networks) algorithms. In this blog will see how to build Intelligent Audio Systems, Audio Feature Extraction using Machine Learning.
ML in Action – Managing Machine Learning Inference
Data scientists train the AI/ML models for computer vision and Natural language processing (NLP) problems
Digital Technologies in Medical Imaging – Enhancing Diagnosis and Prognosis Accuracy
The future of medical imaging: beyond CT scans The traditional medical imaging systems primarily include
Key Innovations in Hearing Aids – Beyond Audio Amplification and Personalized User Experience
With the rising demand for efficient and well-connected hearing aid devices, Markets and Markets has
Hyperautomation in Supply Chain: A Combination of AI, RPA, and Cognitive Analytics
Hyperautomation is ranked by Gartner as one of the 8 leading developments in supply chain
Visualizing Audio Data
An average person generates 2.5 quintillion bytes of data every day, according to Social Media
Understanding AI/ML based Software as a Medical Device (SaMD)
Defining SaMD Medical device software was traditionally a standalone piece of code, serving two diverse
How Artificial Intelligence is transforming the Aerospace Industry
The aerospace industry spans various levels of development, manufacturing, maintenance, and support of aircraft, spacecraft,
Cognitive Supply Chain – Discovering the Impact of AI in Modern SCM
Let us understand a few key challenges that the companies face in the traditional supply
