Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

Have you ever walked out of a meeting only to realize you forgot half the key points? It happens to me constantly. Research ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

AI, or Artificial Intelligence, refers to computer systems that can do tasks normally requiring human intelligence, like ...

Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...

You read the “AI-ready SOC pillars” blog, but you still see a lot of this:Bungled AI SOC transitionHow do we do better?Let’s go through all 5 pillars aka readiness dimensions and see what we can ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...