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EvoOntology: A Self-Evolving Ontology Layer for Data Agents

arxiv.org

Skærmbillede af EvoOntology: A Self-Evolving Ontology Layer for Data Agents
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A research paper describing an ontology layer that adapts over time to support data-oriented AI agents.

Kunstig intelligensData

Gemt

  • 22. september 2026 - Uge 39, 2026

Lignende links

22. september 2026
EvoOntology: A Self-Evolving Ontology Layer for Data Agents

EvoOntology: A Self-Evolving Ontology Layer for Data Agents

academy.dair.ai

An overview of EvoOntology, a research project that exposes and refines an ontology for data agents through MCP.

Fælles emne: Kunstig intelligens, Data

Kunstig intelligensData
4. juli 2026
Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents

Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents

arxiv.org

A research paper examining context-management methods for language-model agents performing long sequences of tool calls.

Fælles emne: Kunstig intelligens

Kunstig intelligensUdvikling
23. oktober 2026
PGX - Lightweight Postgres for AI agents

PGX - Lightweight Postgres for AI agents

github.com

A Rust database runtime for short-lived, isolated Postgres-compatible databases used by agents, CI and previews. The project describes one process hosting many databases and publishes its own memory and cloning benchmarks. It is marked beta and intended for disposable development databases.

Fælles emne: Kunstig intelligens, Data

DataInfrastrukturKunstig intelligens
21. oktober 2026
QuantGPT

QuantGPT

quantgpt.co

A platform that connects AI clients to market data and cloud backtesting through MCP. It also offers a strategy library and trading tools.

Fælles emne: Kunstig intelligens, Data

Kunstig intelligensDataFinans
4. juli 2026
Effective context engineering for AI agents

Effective context engineering for AI agents

www.anthropic.com

Anthropic explains how to select and manage context for agents, including tools, memory and long-running work.

Fælles emne: Kunstig intelligens

Kunstig intelligensUdvikling
11. oktober 2026
HelixDB/helix-foundry

HelixDB/helix-foundry

github.com

A local data workspace that connects business systems into an ontology using HelixDB and DuckDB.

Fælles emne: Data

DataUdvikling

Flere links fra arxiv.org

Se alle links fra arxiv.org

23. oktober 2026
Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models

Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models

arxiv.org

A study comparing distilled byte-level and token-level language models. It finds that byte models start behind at low compute but can reach a higher performance ceiling with more training.

Kunstig intelligensUdviklingData
11. oktober 2026
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

arxiv.org

A research paper describing CPU inference techniques for BitNet b1.58 language models.

Kunstig intelligensHardware
4. juli 2026
Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents

Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents

arxiv.org

A research paper examining context-management methods for language-model agents performing long sequences of tool calls.

Kunstig intelligensUdvikling
23. september 2021
WorldKG: A World-Scale Geographic Knowledge Graph

WorldKG: A World-Scale Geographic Knowledge Graph

arxiv.org

Abstract page for arXiv paper 2109.10036: WorldKG: A World-Scale Geographic Knowledge Graph.

OpslagsværkerVærktøjer
9. november 2019

Image-to-Image Translation with Conditional Adversarial Networks

arxiv.org

The pix2pix paper investigates learning mappings between images, with applications including colourisation and generating pictures from edge or label maps. Summary based on its abstract.

InfrastrukturSikkerhedKunstig intelligens
12. juni 2019

In-DRAM Bulk Bitwise Execution Engine

arxiv.org

A research paper describing Ambit, a method for performing bulk bitwise operations inside DRAM to reduce data movement. Summary based on its abstract.

Data