The global market for data science platforms, meanwhile, was valued at $4.7 billion in 2020 and is projected to reach $79.7 billion by 2030, a CAGR of 33.6 percent, according to an Allied Market ...

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.

Meeting The Data Needs Of AI The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

The work was supported by the Air Force Office of Scientific Research, the Office of Naval Research, and the US National Science Foundation. Most approaches to machine learning-based inverse design ...

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 ...

The work aligns with broader goals in quantum machine learning to build efficient, reliable quantum models for areas such as image recognition, cybersecurity, and complex data analysis. The ...

In the CPG industry, the focus has shifted toward developing smart packaging solutions. • ML algorithms analyze vast consumer data to predict trends and design innovative packaging.