Support vector machine (SVM) is a type of machine learning algorithm that can be used for classification and regression tasks.
Huge salaries and bonuses at tech firms are luring AI scientists away from universities. How will this artificial intelligence brain drain affect the AI industry?
Large language models (LLM) require huge memory and computational resources. LLM compression techniques make models more compact and executable on memory-constrained devices.
Data poisoning attack target the training of machine learning algorithms and cause them to behave maliciously during inference.
Signal, Telegram, and other secure messaging apps and services used domain fronting to circumvent government censorship. But what is it really?
Neural architecture search NAS is a series of machine learning techniques that can help discover optimal neural networks for a given problem.
To create better artificial intelligence hardware, researchers have been drawing inspiration from the brain. The result is neuromorphic chips, which have grown in popularity in the past years.
Ensemble learning is a popular machine learning technique that combines several models to improve overall accuracy of AI algorithms.
The beginner's guide to smart contracts, the software layer that enables blockchain to do wonders beyond cryptocurrencies.
The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.