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Speech Separation by Facebook AI Research

Analytics Vidhya

The post Speech Separation by Facebook AI Research appeared first on Analytics Vidhya. A Brief History of Traditional methods Voice Separation with an Unknown Number of Multiple Speakers Note: All audio samples and the videos, images in […].

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Text Detection Using CRAFT Text Detector

Analytics Vidhya

Image source: [link] Introduction In this article, we study the “Character region Awareness for Text Detection” model by Clova AI research, Naver Corp. The deep learning-based model provides scene text detection or bounding boxes of text in an image. These bounding boxes can […].

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AI trends in 2023: Graph Neural Networks

AssemblyAI

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. Traditional AI methods have been designed to extract information from objects encoded by somewhat “rigid” structures.

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This AI Research Presents a Physics-Based Deep Learning for Predicting IFP and Liposome Accumulation

Marktechpost

In the pursuit of refining cancer therapies, researchers have introduced a groundbreaking solution that significantly elevates our comprehension of tumor dynamics. This study centers on precisely predicting intratumoral fluid pressure (IFP) and liposome accumulation, unveiling a pioneering physics-informed deep learning model.

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Meet SPACEL: A New Deep-Learning-based Analysis Toolkit for Spatial Transcriptomics

Marktechpost

To overcome these limitations, a group of researchers headed by Prof. Qu Kun from the University of Science and Technology of the Chinese Academy of Sciences has created a solution called Spatial Architecture Characterization by Deep Learning (SPACEL). The first module, Sprint, tackles the cell-type deconvolution task.

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ByteDance AI Research Introduces StemGen: An End-to-End Music Generation Deep Learning Model Trained to Listen to Musical Context and Respond Appropriately

Marktechpost

Music generation using deep learning involves training models to create musical compositions, imitating the patterns and structures found in existing music. Deep learning techniques are commonly used, such as RNNs, LSTM networks, and transformer models. If you like our work, you will love our newsletter.

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Meet Netron: A Visualizer for Neural Network, Deep Learning and Machine Learning Models

Marktechpost

Exploring pre-trained models for research often poses a challenge in Machine Learning (ML) and Deep Learning (DL). Without this framework, comprehending the model’s structure becomes cumbersome for AI researchers.