CoinTelegraph

Training vs. testing data in machine learning

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...
Science Daily

Machine learning models can produce reliable results even with limited training data

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.
VentureBeat

MLPerf 4.0 training results show up to 80% in AI performance gains

Innovation in machine learning and AI training continues to accelerate, even as more complex generative AI workloads come online. Today MLCommons released the MLPerf 4.0 training benchmark, once again ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
The Conversation

Here’s how machine learning can violate your privacy

Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...