Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...

Abstract: With the development of edge computing and 5G, the demand for resource-limited devices to execute computation-intensive tasks can be effectively alleviated. The research on computation ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

The Table API enables a programmatic way of developing, testing, and submitting Flink pipelines for processing data streams. Streams can be finite or infinite, with insert-only or changelog data. The ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

The Databricks SDK for Java includes functionality to accelerate development with Java for the Databricks Lakehouse. It covers all public Databricks REST API operations. The SDK's internal HTTP client ...

If you liked this story, share it with other people. Mongabay interviewed Antenor Vaz, an international expert on recognition methodologies and protection policies for Indigenous peoples in isolation ...

Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...

It can be tempting to assume that your intuitions about three-dimensional space carry over to higher-dimensional realms. After all, adding another dimension simply creates a new direction to move ...

The acquisition method records company buyouts, merging assets and liabilities. It includes all costs incurred, integrating them into financial statements. Investors analyze these reports to assess ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

A new approach to the local and global explanation based on selecting a convex hull constructed for the finite number of points around an explained instance is proposed. The convex hull allows us to ...