Viso.ai

MARCH 26, 2024

Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. 2: Automated Document Analysis and Processing No.3:

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Unite.AI

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Composite AI plays a pivotal role in enhancing interpretability and transparency. Decision trees and rule-based models like CART and C4.5

Composite AI 182

Composite AI Explainability Black Box AI Explainable AI 182

Mlearning.ai

FEBRUARY 6, 2023

The classifier currently only works on English text, but not on other languages or on code [3]. Classifiers based on neural networks are known to be poorly calibrated outside of their training data [3]. This is why we need Explainable AI (XAI). IEEE Conference on Computer Vision and Pattern Recognition 2021.

Explainable AI 52

Explainable AI Explainability ChatGPT Chatbots 52

NVIDIA

DECEMBER 13, 2023

AI-driven applications using deep learning with graph neural networks (GNNs), natural language processing (NLP) and computer vision can improve identity verification for know-your customer (KYC) and anti-money laundering (AML) requirements, leading to improved regulatory compliance and reduced costs.

Explainability 103

Explainability Neural Network Computer Vision Generative AI 103

Pickl AI

JANUARY 29, 2024

AI comprises Natural Language Processing, computer vision, and robotics. ML focuses on algorithms like decision trees, neural networks, and support vector machines for pattern recognition.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

IBM Journey to AI blog

JULY 6, 2023

Deep learning teaches computers to process data the way the human brain does. Deep learning algorithms are neural networks modeled after the human brain. Machine learning engineers can specialize in natural language processing and computer vision, become software engineers focused on machine learning and more.

Data Science 137

Data Science Machine Learning Big Data Data Mining 137

IBM Journey to AI blog

FEBRUARY 9, 2024

The incoming generation of interdisciplinary models, comprising proprietary models like OpenAI’s GPT-4V or Google’s Gemini, as well as open source models like LLaVa, Adept or Qwen-VL, can move freely between natural language processing (NLP) and computer vision tasks. on most standard benchmarks.

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AI AI Generative AI Artificial Intelligence 241