When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

The intricate dance of drug absorption within the human body is a marvel of biological engineering, but it also presents a ...

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

And while it’s recently become a hot topic due to broader changes in the marketing and data landscape, MMM is surprisingly old. Initially developed from models used to predict how political ...

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 ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

She worked on the development and operationalization of end-to-end machine learning, Gen-AI solutions, and post-production monitoring techniques for advanced language models.

Data poisoning is a type of adversarial ML attack that maliciously tampers with datasets to mislead or confuse the model. The goal is to make it respond inaccurately or behave in unintended ways.

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.

As Philadelphia strives to meet greenhouse gas emissions goals established in its 2050 Plan, a better understanding of how zoning can play a role in managing building energy use could set the city up ...