Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Language industry’s definitive monthly news and data briefing; key M&A and funding, financial results, hires, company KPIs, ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

As Timothee Chalamet breaks the internet by publicly thanking his ‘partner of three years’, Kylie Jenner, at the Critics ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

ADL is an Agent Definition Language - not a general AI App definition format. AI apps are broad and may include UI, API layers, deployments, data stores, or business logic. Agents are specific: they ...

LLMs are AI trained to generate text, crucial for various applications like chatbots. Training involves analyzing vast text data to learn language patterns and context. Concerns exist over copyright ...

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 ...

Create an account or log in to save stories. NINA MOINI: Well, every year, the American Community Survey, a survey affiliated with the US Census Bureau, asks people across the country to share what ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...