Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Abstract: Neural processing units (NPUs) have become essential in modern client and edge platforms, offering unparalleled efficiency by delivering high throughput at low power. This is critical to ...

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

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.

Abstract: Automatic text summarization (ATS), alongside neural machine translation or question answering, is one of the leading tasks in Natural Language Processing (NLP). In recent years, ATS has ...