#machine-learning
The 1990s was a decade that saw significant advancements in the field of artificial intelligence (AI). Here are some of the most important... Read more
Yes, there have been several approaches developed for combining multiple modalities in models. One popular approach is multi-modal learning, which... Read more
Machine learning algorithms can be categorized into two main types: supervised and unsupervised learning. The primary difference between these two... Read more
Interpretability is a crucial aspect of machine learning models, as it allows us to understand how the model is making predictions. There are several... Read more
Cognitive computing is a field of study that deals with the development of computer systems that mimic the way the human brain works. These systems... Read more
Artificial Intelligence, or AI for short, refers to the simulation of human intelligence in machines that are programmed to think, learn and perform... Read more
Reinforcement learning is a type of machine learning where an algorithm learns to take actions in an environment to maximize a cumulative reward.... Read more
Machine learning is a branch of artificial intelligence that enables computer systems to learn and improve from experience without being explicitly... Read more
Artificial intelligence (AI) and the Internet of Things (IoT) are two of the most transformative technologies of our time. Combining these... Read more
Adversarial attacks on machine learning models are a growing concern, as they can be used to undermine the accuracy and reliability of these models.... Read more