Researchers at IBM Quantum recently showed that simple and more accessible machine learning (ML) techniques could be used for QEM. Their paper, published in Nature Machine Intelligence ...

“Adding quantum machine learning to a quantum-sensing protocol enables you to apply the method when the encoding mechanism is unknown or when hardware noise affects the quantum probe.” That ...

Using Simple ML for big data-driven projects. Although Simple ML truly is simple and focused on a less ML-savvy clientele, big data and machine learning experts alike can use this tool to manage ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

Launching a flipped classroom demands creativity and initiative. The payoff is cumulative. (Flickr/rowanbank) By Heather Clydesdale. Steve Jobs described computers as “the equivalent of a bicycle for ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

But a new paper in npj Computational Materials shows that even a simple machine learning model, trained with a modest amount of data, can significantly reduce the time needed for calculating ...

The creative new approach could lead to more energy-efficient machine-learning hardware. On a table in his lab at the University of Pennsylvania, physicist Sam Dillavou has connected an array of ...

A crucial part of the machine learning lifecycle is managing data drift to ensure the model remains effective and continues to provide business value. Data is an ever-changing landscape, after all.