Review the compute resources used for our style mimicry experiments, detailing execution times and additional resource requirements for various methods.

Explore the experimental setup and hyperparameters used for evaluating robust style mimicry methods, including Stable Diffusion, Glaze, Anti-DreamBooth, & more.

Achieve efficiency and reliability in your GenAI RAG workflows with KubeMQ for seamless message handling and FalkorDB for fast, scalable data storage/retrieval.

This blog explores prompts in GenAI, their importance, and key principles to craft effective, impactful prompts.

In this work, we present a framework that harnesses the power of a text-to-image diffusion model for the task of text-driven video editing.

Quickly learn what keyframe sampling and joint editing are!

Take a peek at how TokenFlow works and the method we used.

Explore how human-machine systems influence competition, cooperation, contagion, and decision-making, revealing patterns in collective social outcomes.

High-frequency trading algorithms enhance market efficiency but may amplify volatility and reduce diversity, risking financial stability.

Advancing human-machine research with agent-based models, ethical experiments, and a sociological perspective before AI complexity outpaces understanding.

Explore the dynamics of human-machine interactions, highlighting behavioral patterns, cognitive biases, and the evolving social roles of autonomous machines.

Read this post to understand the significance of Google's latest developments with generative AI and AI agents, Gemini 2.0 and Project Mariner.

Don’t miss out! NVIDIA is offering premium AI courses worth up to $90 for free, but only for a limited time. Learn, innovate, and grow today!

Google has released a cheap, fast and highly capable model to build agentic flows.

The R Systems BlogBook contest, powered by HackerNoon, is coming soon! Get ready to share your experiences and win exciting prizes—stay tuned for more details.

Learn how to use AnyModal, a modular framework for integrating vision and language models, to build and train your own LaTeX OCR system. Perfect for AI research

1/1/2025: Top 5 stories on the HackerNoon homepage!

As the world nears 2030 we have an energy crisis of apocalyptically proportions. Will AI be the solution or the problem?

Integrating Large Language Models with diagramming tools like Mermaid and UML is revolutionizing software development.

Generative AI is destroying the planet. But there is a perfect solution, and it could save 90% of operating costs for data centers!