Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

Traditional machine learning emphasized predictive accuracy. Generative systems required attention to hallucination mitigation and grounding. Agentic systems shift the challenge again. They do not ...

The limitations of large language models like ChatGPT go well beyond hallucinations, and the courtroom is no place for probabilistic guesswork Every few months, another headline announces that ...

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

Discover how the Pistoia Alliance is revolutionizing HPLC-UV method sharing with standardized, FAIR-aligned data formats ...

Mass spectrometry (MS)-based proteomics is widely regarded as the gold standard for high-throughput protein identification and quantification, significantly influencing how laboratories characterize ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and enables autonomous action. For decades, the database has been the silent partner ...

ABSTRACT: Data mining is the extraction of vast interesting patterns or knowledge from huge amount of data. The initial idea of privacy-preserving data mining PPDM was to extend traditional data ...

Companies have often responded to new technologies with process tweaks or bolt-on tools. Some companies adapted; others faltered, not for lack of innovation but because they failed to reorganize ...

Section 1. Purpose. Artificial intelligence (AI) will play a critical role in how Americans of all ages learn new skills, consume information, and navigate their daily lives. Americans will require ...