The medium-sized biopharma is showing off new results from dordaviprone and Zepzelca, both of which were acquired through ...

“RAG allows you to do things like role-based access control,” explains Saunders. “When you’re connecting to a data source, ...

Three tactics, working together, can help companies to automate data security at scale, as good metadata practices drive ...

Abstract: Cluster analysis plays an indispensable role in machine learning and data mining. Learning a good data representation is crucial for clustering algorithms. Recently, deep clustering (DC), ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

By building stronger reasoning skills in AI systems, new approaches to data for training and testing will open a door to the ...

Abstract: Support Vector Machines (SVMs) are vulnerable to targeted training data manipulations such as poisoning attacks and label flips. By carefully manipulating a subset of training samples, the ...

Protecting trees might not seem like a public health strategy, but new research suggests it could be—especially in the ...

The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

Getting retrieval-augmented generation right requires a deep understanding of embedding models, similarity metrics, chunking, ...

Hackers. AI data scrapes. Government surveillance. Yeah, thinking about where to start when it comes to protecting your ...