The US Food and Drug Administration has approved an AI-based software to help medical specialists (pathologists) who analyze body tissues to find suspect spots...
Weather plays an important role in our everyday lives. Among other weather conditions, rain influences our day-to-day decisions significantly. Weather forecasting has always been...
The problem of text recognition is a long-standing issue in document digitalization. Many current approaches for text recognition are usually built on top of...
Reinforcement learning (RL) has recently become a powerful technique widely used for solving challenges of sequential decision-making. Simulation benchmarks mainly drive progress in RL....
Reinforcement learning (RL) is a field of machine learning (ML) that involves training ML models to make a sequence of intelligent decisions to complete...
In the last few years, AI researchers have been using Generative adversarial networks (GANs) to create images with unprecedented levels of diversity and photorealism,...
Artificial intelligence (AI) applications have a significant impact on our daily lives, making them easier. One of such applications is AI bots that are...
The development of modern machine learning could not have happened without an extensive research dataset. For quite some time, computer vision has relied on...
The Natural Language Processing (NLP) domain is experiencing remarkable growth in many areas, including search engines, machine translation, chatbots, home assistants and many more....
After a long 14 years of development, the latest version-1.0 has been announced for scikit-learn, a Python machine learning library, with major updates and...
Brit, a London-based specialty insurer and reinsurer, announced the construction and successful proof-of-concept launch of a unique machine-learning algorithm that uses ultra-high-resolution photography to...
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