Membership Inference Authors, Creators & Presenters: PAPER Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of ...

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...

When an app needs data, it doesn't "open" a database. It sends a request to an API and waits for a clear answer. That's where FlaskAPI work fits in: building ...

As AI adoption accelerates across financial services, Indian wealth managers are increasingly viewing the technology less as ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...

Google Gemini 3 Deep Think model has been updated by the company with improvements to its mathematical and other scientific domains’ capabilities.

A new guide from NUS shows how food companies and researchers can move AI from black-box models to reliable tools for ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Data about shoppers’ movements in stores and malls are an unexpected goldmine for the training of humanoid robots, reveals an ex-NASA engineer.