Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects.

At GTC Europe, NVIDIA launched a new data science platform for enterprise, built on RAPIDS - our solution for GPU-accelerating the end to end machine learning workflow. This platform enables an ...

The technology, in private beta since the summer of 2021, automates many skills needed to move machine learning models into production, according to the company, helping data science and machine ...

The structures built around your data -- and the way your data is structured -- influences the extent to which you can effectively use machine learning. Data architecture applies "specifically to ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make ...

Machine learning may help manage and organize enterprise systems -- with their "highly complex interactions between systems and components, complex data access patterns and relationships." ...

Researchers in Big Data, AI and Machine Learning work with national and international partners, with recent projects involving JASCO, ExactEarth, Irving Shipbuilding, Thales, Lockheed ... Faculty of ...