As agentic systems execute well-defined processes, the human expert, including the data scientist, evolves from task execution towards becoming architects and strategists of intelligent workflows.

Modern behavioral data science approaches treat every user interaction as a signal. Micro-interactions like hover time, pause ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

Expert data scientists are transforming financial systems, adopting innovative algorithms to ... At the core of these contributions is a machine learning-powered anomaly detection system, ...

As AI systems become more a part of our daily lives, the demand for people skilled in working with and building these systems will keep growing. In the past, data scientists were essential for ...

In comparison to traditional machine learning algorithms that can solve the same tasks, the Ohio State team's algorithm is more accurate, and uses 400 to 1,250 times less training data to make ...

New algorithm boosts multitasking in quantum machine learning Date: December 10, 2024 Source: Tohoku University Summary: When a quantum computer processes data, it must translate it into ...