Abstract: In recent years, foundation models, particularly large language models (LLMs), have demonstrated significant improvements across a variety of tasks. One of their most important features is ...

The next evolution of context-first document management provides a dynamic, role-based way to visually interact with people, projects, and processes to drive business performance. M-Files, the leader ...

Modern AI systems face a dual challenge: delivering high‑quality outputs while staying cost- and latency‑efficient. Every token processed and every millisecond of compute impacts scalability, user ...

For many enterprises, there continue to be barriers to fully adopting and benefiting from agentic AI. IBM is betting the blocker isn't building AI agents but governing them in production. At its ...

Abstract: Processing-In-Memory (PIM) architectures alleviate the memory bottleneck in the decode phase of large language model (LLM) inference by performing operations like GEMV and Softmax in memory.

Context is the one thing most AI lacks — and the one thing it desperately needs to function in real-world environments. In late 2024, Texas Attorney General Ken Paxton announced a first-of-its-kind ...

What happens when the very thing designed to make AI smarter—more context—starts to work against it? Large Language Models (LLMs), celebrated for their ability to process vast amounts of text, face a ...

Like many image and video AI tools, which have (mostly) stopped creating people with six fingers, AI coding tools have also been making great strides. Case in point: developer Indragie Karunaratne ...

The AI revolution began with a simple realization: the way you ask matters. Engineers and users alike discovered that carefully crafted prompts could unlock remarkable capabilities in language models, ...

D2 is a modern diagram scripting language that turns text to diagrams. This MCP server allows AI assistants like Claude to create, render, export, and save D2 diagrams programmatically. The server ...

Context parameters replace an older experimental feature called context receivers. Other features previewed in Kotlin 2.2.0 include context-sensitive resolution, to omit the type name in contexts ...