Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Kunkler from Lobster discusses how data scientists must adopt the mindset of a behavioral one when developing agentic AI.

Algorithms trained in this way, such as neural networks, tend to perform better on inputs that are similar to their training data. Neural Network / The workhorse model of modern AI, which roughly ...

Some algorithms used to identify outliers are: Time series modeling uses historical data to forecast events. A few of the common time series models are: ARIMA: The autoregressive integrated moving ...

AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

However, using their new algorithm, Zhang and his collaborators unearthed a hypergraph model that accurately captured connections in the EEG data among three or more regions. That suggests higher ...

The algorithm can use examples of atrial fibrillation in the data to learn a relationship between ... one bio-signal allows a machine-learning model to learn from another bio-signal with fewer ...