Innovative tools and data annotation service companies help produce much higher quality data to train AI models in much faster time
Topic: Machine learning
The latest approaches using machine learning and artificial intelligence in business, Internet of Things, and the medical industry.
Organizations must determine precisely which types of processes will benefit most from an injection of machine and deep learning
The new tool uses a machine learning neural net and is said to be up to 50 percent more accurate than hand-crafted models.
Eveline was developed based on the personal experience of Eveline co-founder and CTO Carson Chen and his wife.
The industry is already booming but is still rather unstructured. We may see better frameworks and solutions come from companies, as it
The demand for AI-enabled applications that deliver increasingly refined results is driving the need for high-quality annotated data to train AI
Infrastructure spending specifically to train machine learning models has grown more than 50 percent year-to-year over the past two
Using AI, researchers and executives can evaluate which areas of study have the best chance of translating to clinical trials.
AI research at US agencies includes work on autonomous systems, predictive maintenance, smart cities technology, and
MLOps, like its counterpart DevOps, focuses on building and maintaining the machine learning pipeline across all the different stages in the lifecycle of AI …