Spark creator bags computing gong for making big data a little bit smaller

When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...

Azul to Host AI4J: The Intelligent Java Conference on Building Production-Grade AI Systems with Java

Azul, the trusted leader in enterprise Java for today’s AI and cloud-first world, today announced AI4J: The Intelligent Java ...

Simple Random Sampling: 6 Basic Steps With Examples

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...

The Biggest Volcanic Event in Earth’s History Transformed an Entire Oceanic Plate

The Ontong Java Plateau (OJP), located in the Pacific Ocean, formed around 110 to 120 million years ago through massive submarine volcanic eruptions. This event is considered the most extensive ...

Sinking land drives coastal flood risk on densely populated Java Island

A new study published in Science Advances reveals that sinking land—not just rising oceans alone—will be the main cause of ...
BusinessGhana

Geospatial innovations addressing critical water data gaps in Asia

Across Asia, new initiatives are showing how satellite Earth observation data and AI-powered technologies can turn fragmented ...
InfoWorld

Local-first browser data gets real

Wasm, PGlite, OPFS, and other new tech bring robust data storage to the browser, Electrobun brings Bun to desktop apps, ...
InfoWorld

Spring AI tutorial: How to develop AI agents with Spring

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.
diginomica

Mean time to innocence - Splunk's case for why your observability data is as much a political problem as a technical one

When a VIP customer calls and the trace has been discarded, you can't prove the issue wasn't yours. Splunk's Stephane Estevez ...
Communications of the ACMOpinion

The Coming Commoditization of Computational Thinking

Reimaging professional and educational practices for an AI-augmented future.
IEEE

Data ID Extraction Networks for Unsupervised Class- and Classifier-Free Detection of Adversarial Examples

Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...