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

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 ...

Generative AI, which is technically a first cousin of AI, combines data science and machine learning at its core. To fully leverage this potential, leaders must build teams that understand the ...

The two companies’ data science platforms have become core components for many CIOs who are focused on leveraging ...

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that ...

Machine learning is a discipline that falls under the umbrella of artificial intelligence (AI). It has applications in many industries, including healthcare, finance, entertainment, e-commerce ...

MLDS 490: Interpretable Machine Learning for Finance VIEW ALL COURSE TIMES AND SESSIONS Description The course emphasizes interpretable machine learning techniques and their applications in the ...

A model applies a simplifying structure to the data, which makes it possible to learn patterns and make predictions. Complex machine learning models have some inherent pros and cons.

Neuenfeldt: We’re working with data standards like CIM (Common Information Model) 61 970, 301 for normalization and alignment, and the emerging 61 850 standard for smart grids. The goal is to ...