FLEX FLOW AI

FLEX FLOW AI

FLEX FLOW AI builds custom AI automation workflows and agents to streamline operations, boost productivity, and scale your business faster.

Home
Services
Test Drive
Pricing
About Us
News

Home
Services
Test Drive
Pricing
About Us
News

Initializing

FLEX FLOW AI

Custom AI automation service for businesses. We design, build, and deliver tailored workflows that eliminate repetitive work.

Services

AI Automation
AI & Machine Learning
Web Development
DevOps
UI/UX Design

Company

About Us
Career Opportunities
Privacy Policy
Terms of Service
Cookies Policy

Contact Us

- info: +374 41 730 744
3/17 Hakob Hakobyan St.,
Yerevan, 0012, Armenia

© 2026 FLEX FLOW AI LLC.All rights reserved.

AI & Tech News

Discover the latest updates from industry leaders including Nvidia, OpenAI, and Google—all consolidated into one powerful AI-driven news feed.

Sort by:

OpenAIOct 19, 2017

Generalizing from simulation

Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. Tha

OpenAIOct 18, 2017

Asymmetric actor critic for image-based robot learning

Read the full article for more details...

OpenAIOct 18, 2017

Sim-to-real transfer of robotic control with dynamics randomization

Read the full article for more details...

OpenAIOct 17, 2017

Domain randomization and generative models for robotic grasping

Read the full article for more details...

OpenAIOct 11, 2017

Meta-learning for wrestling

We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent, and also show that the meta-learning agent can adapt to ph

OpenAIOct 11, 2017

Competitive self-play

We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with

OpenAISep 29, 2017

Nonlinear computation in deep linear networks

Read the full article for more details...

OpenAISep 14, 2017

Learning to model other minds

We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers self-interested yet collaborative strategies like tit-for-tat in the iterated prisoner’s dile

Page 265 / 273