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Image-to-Image Translation with Conditional Adversarial Networks

arxiv.org

Åbn link i nyt vindue

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

Gemt

  • 9. november 2019 - Uge 45, 2019

Lignende links

9. november 2019
shion1118/ofPix2pix

shion1118/ofPix2pix

github.com

An implementation of pix2pix image translation using openFrameworks.

Fælles emne: Kunstig intelligens

Kunstig intelligens
29. august 2026
Agentic Infrastructure - Vercel

Agentic Infrastructure - Vercel

vercel.com

Vercel’s platform for deploying applications and supporting agent-driven development.

Fælles emne: Kunstig intelligens, Infrastruktur

Kunstig intelligensInfrastruktur
23. oktober 2026
Cloudflare Security Audit Skill

Cloudflare Security Audit Skill

github.com

A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings.

Fælles emne: Kunstig intelligens, Sikkerhed

SikkerhedKunstig intelligensUdvikling
11. oktober 2026
Build an SRE agent for incident response

Build an SRE agent for incident response

developers.openai.com

An example incident-response agent that investigates alerts using telemetry, GitHub and AWS, then reports its findings in Slack.

Fælles emne: Kunstig intelligens, Infrastruktur

Kunstig intelligensInfrastruktur

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

EvoOntology: A Self-Evolving Ontology Layer for Data Agents

arxiv.org

A research paper describing an ontology layer that adapts over time to support data-oriented AI agents.

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.

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
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