Securing AI pipelines against data poisoning: a practical guide for technical teams Data poisoning is one of the more practical risks in AI security because it targets the pipeline rather than the ...

When the students at University Avenue Elementary enter Science Specialist Natalie Lupo’s classroom, they don’t shuffle over to their seats or sit quietly waiting for instructions. Their entrance ...

Abstract: Object Exploration and Mapping (OEM) is a novel embodied AI task that requires an agent to autonomously explore unknown environments, simultaneously detect and localize multiple objects, and ...

ABSTRACT: This study proposes a multimodal AI model for classifying Vietnamese digital learning materials by integrating three key information sources: text content, image and graphic features, and ...

A metadata-driven framework for orchestrating Databricks Lakeflow Jobs. Package as a library and run as a single task in a Lakeflow Jobs to continuously monitor for metadata changes and automatically ...

Here’s what you’ll learn when you read this story: Object Arjuna 2025 PN7 was thought to be a meteorite in an Earthlike orbit, but that is now being questioned. The new hypothesis suggests that 2025 ...

FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...

At a time when adult education is being digitized at breakneck speed, a counter-trend is asserting itself: that of a return to the body, to materiality and to objects as living supports for learning.

3I/ATLAS, a mysterious interstellar object racing toward the Sun, is baffling scientists with its speed and origin. Some researchers suggest it could even be alien-made, drawing comparisons to probes ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...