Challenging the classic view, two cognitive scientists argue in a new review that categorization is not a late, specialized ...

Psychologists have long known that social situations profoundly influence human behavior, yet have lacked a unified, ...

LiteParse pairs fast text parsing with a two-stage agent pattern, falling back to multimodal models when tables or charts ...

Opinion: Well-designed feedback programs are more than instruments for measuring performance; they’re platforms for exploring ...

Elk Marketing reports that structured data enhances AI understanding, enabling accurate entity recognition and improved ...

While 79% of organizations face AI data challenges, 92% are already using their data to train LLMs despite readiness concerns ...

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...

Cloud Security Alliance survey found that traditional security and governance practices can't keep pace with the rampant ...

Suicide risk assessment is a complex clinical task characterized by substantial variability in judgment and low predictive accuracy, even among experienced clinicians. Standardized instruments such as ...

Google expanded its structured data support for forum and Q&A pages, adding properties that help you signal reply threads, quoted content, and whether content is human- or machine-generated. The ...

Semi-structured N:M sparsity and low-bit quantization (e.g., 1.58-bit BitNet) are two promising approaches for improving the efficiency of large language models (LLMs), yet they have largely been ...

This multicenter retrospective study leveraged artificial intelligence (AI) to analyze structured and unstructured data from four Belgian hospitals (January 1, 2018-October 31, 2021). Structured data ...