Marktechpost

JULY 21, 2023

Various activities, such as organizing large amounts into small groups and categorizing numerical quantities like numbers, are performed by our nervous system with ease but the emergence of these number sense is unknown. The ability to decipher any quantity is called Number sense. Number sense is key in mathematical cognition.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network AI Researcher AI Research 98

AssemblyAI

JANUARY 23, 2025

Broadly, Python speech recognition and Speech-to-Text solutions can be categorized into two main types: open-source libraries and cloud-based services. wav2letter (now part of Flashlight) appeals to those intrigued by convolutional neural network-based architectures but comes with significant setup challenges.

Python 130

Python Convolutional Neural Networks Neural Network OpenAI 130

Marktechpost

NOVEMBER 16, 2023

A new research paper presents a deep learning-based classifier for age-related macular degeneration (AMD) stages using retinal optical coherence tomography (OCT) scans. The model, trained on a substantial dataset, performs strongly in categorizing macula-centered 3D volumes into Normal, iAMD, GA, and nAMD stages.

Deep Learning 107

Deep Learning Convolutional Neural Networks Neural Network Categorization 107

Marktechpost

SEPTEMBER 12, 2023

Fine-grained image categorization delves into distinguishing closely related subclasses within a broader category. Modern algorithms for fine-grained image classification frequently rely on convolutional neural networks (CNN) and vision transformers (ViT) as their structural basis.

Convolutional Neural Networks 107

Convolutional Neural Networks Categorization Neural Network Deep Learning 107

Marktechpost

DECEMBER 24, 2023

These methods address the challenges of traditional approaches, offering more automated, accurate, and robust solutions for identifying and categorizing plant leaf diseases. All credit for this research goes to the researchers of this project. Deep learning methods have shown robust performance in classifying leaf diseases.

Machine Learning 117

Machine Learning Convolutional Neural Networks Neural Network Deep Learning 117

Viso.ai

FEBRUARY 11, 2024

This database has undoubtedly played a great impact in advancing computer vision software research. One of the crucial tasks in today’s AI is the image classification. It is a technique used in computer vision to identify and categorize the main content (objects) in a photo or video. million images with SIFT features.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Topbots

OCTOBER 4, 2023

Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., Image processing : Predictive image processing models, such as convolutional neural networks (CNNs), can classify images into predefined labels (e.g.,

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119