Abstract: Data fitting by splines in noise presence, has been widely used in data analysis ... genetic algorithm to tackle the data fitting problem by B-splines. The proposed approach is based on a ...

Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

To improve how businesses use unstructured data, leaders should follow a series of steps that begin by addressing ...

The Databricks Inc.- and Snowflake Inc.-backed startup says its new Unstructured Data Monitoring tool gives enterprises an ...

The world of software engineering is undergoing a transformation—not one marked by drastic job losses or AI dominance, but a ...

Variance is a measurement of dispersion across a data set, comparing the difference ... taking the square root removes the units from the analysis. This allows for direct comparisons between ...

Why Some Ideas Resist Spreading,” argues that notions get taken up not because of their virtue but because of their ...

Experts from Informatica joined DBTA's webinar, Emerging Data Management Foundations for AI Agent Success, to assess the implications that adopting AI agents has on data infrastructure, offering best ...

New research from Meta reveals AI models achieve 34.5% better accuracy with shorter reasoning chains, challenging industry ...

Microsoft's recent release of Phi-4-reasoning challenges a key assumption in building artificial intelligence systems capable ...