Google researchers unveil VaultGemma, an LLM designed to generate high-quality outputs without memorizing training data. Here's how it works.

Claude’s web agent needs more cooking, but it does put some thoughtful protections in place for your data right now. Here’s ...

1. Google's VaultGemma is a one-billion-parameter AI model. The tech giant used privacy differentiation in the pre-training phase, combining sensitive data, where the identifiers such as people's ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

Rather than waiting for litigation or legislation, American companies can lead the way by treating data rights as a new ...

High-quality, well-labeled data is essential. What steps are being taken—or should be taken—to create standardized, shared chromatographic datasets for AI training? Dave Abramowitz of Thermo Fisher ...

Abstract: Hyperspectral images (HSIs) are rich in spectral information and are widely used in the field of land-cover classification. However, existing deep learning methods ignore the combination of ...

Info-Tech Research Group has released a new resource to help organizations tackle the growing challenges of data discovery ...

Creating new profiles in Chrome is easy. Click the Profile icon in the top right corner and select AddChrome profile from the menu. You'll see two options: Sign in with a Google account or Continue ...

Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...