Abstract: Query-by-example spoken term detection (QbE-STD) refers to the search for an audio query in a repository of audio utterances. A common approach for QbE-STD involves computing a matching ...

Artificial intelligence (AI) agents are a breeze to create using Microsoft Copilot Studio, and almost just as easy to manipulate into divulging sensitive corporate data. Despite broad security ...

I am writing a series on Emerging Trends in Data Governance. I will be breaking down multiple aspects of these trends and diving into deeper detail on each of the major subject areas I’ve covered in ...

Security researcher demonstrates how attackers can hijack Anthropic’s file upload API to exfiltrate sensitive information, even with network restrictions enabled. A newly disclosed vulnerability in ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing, refining, and validating AI-generated outputs. AI is not only reshaping ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

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 ...

Google hasn’t done a full cannonball into the large language model (LLM) pool, but they’re definitely in the water. On May 20, Google launched AI Mode to all U.S. searchers, marking its most ...