Applicant tracking systems scan for exact keyword matches before reviewSpecific tools and frameworks signal real project depth and expertiseClear ...

As AI systems grow more autonomous, Walrus argues that verifiable data infrastructure will determine which systems earn trust.

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Her work explores how new AI technology is infiltrating our lives, shaping the content we consume on social media and affecting the people behind the screens. She graduated from the University of ...

To meet the growing demand for faster scientific discovery that strengthens the bioeconomy, plant scientists worked with ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Cloudera, the only company bringing AI to data anywhere, is expanding Cloudera AI Inference and Cloudera Data Warehouse with Trino to on-premises environments, enabling customers to harness advanced ...

Memgraph, a leader in open-source, in-memory graph databases, is introducing a new capability designed to accelerate business adoption of graph-based retrieval-augmented generation (GraphRAG), Atomic ...