About itinai.com Team
Our teams are a diverse group of talented individuals working remotely from different corners of the world. With members proficient in seven languages, we value and embrace diversity. However, what truly unites us is our shared passion for the language of modern technology. We come together to collaborate, innovate, and harness the power of cutting-edge technology to create exceptional solutions.
Our Mission
itinai.com is a global AI lab, product incubator. We make artificial intelligence accessible, applicable, and transparent for professionals across industries. Every article, tool, and product is driven by our belief that AI should be practical, verifiable, and human-centered.
Our Global AI Teams
At itinai.com, we build AI products and launch innovation programs in collaboration with expert teams across 12 countries.
- 🇷🇺 Russia
- 🇺🇦 Ukraine
- 🇰🇿 Kazakhstan
- 🇬🇪 Georgia
- 🇦🇪 UAE
- 🇺🇸 United States
- 🇵🇭 Philippines
- 🇻🇳 Vietnam
- 🇦🇷 Argentina
- 🇪🇪 Estonia
- 🇹🇭 Thailand
- 🇩🇪 Germany
Community of AI Builders
We are not just a tech company — we’re a decentralized network of creators, researchers, and entrepreneurs. Each team contributes to building AI-driven tools, bots, content engines, and monetization models tailored to local markets.
Editorial Principles
- Trustworthiness – We cite sources, check facts, and avoid hype.
- Experience-first – Written and reviewed by domain experts.
- Human in the Loop – AI is a tool, not a replacement for judgment.
- Transparency – Author names, background, and intent are disclosed.
AI Accelerators & Product Labs
In every region, we run AI Product Accelerators — programs that help local talent and businesses turn ideas into profitable, autonomous AI-powered businesses in just weeks. We provide infrastructure, AI models, training, and monetization pipelines.
Your Global AI Accelerator Partner. Ask me, I will help you
Get Involved
Follow us, contribute insights, or propose partnerships. We welcome collaboration from researchers, writers, and product leaders passionate about building ethical, usable AI.
Our Team’s the Most Interesting Articles Picks
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Only Use LLMs If You Know How to Do the Task on Your Own
Silent mistakes or harsh consequences can arise if not careful.
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Google DeepMind Researchers Introduce GenCast: Diffusion-based Ensemble Forecasting AI Model for Medium-Range Weather
GenCast, a new generative model from Google DeepMind, revolutionizes probabilistic weather forecasting. By utilizing machine learning, GenCast efficiently generates 15-day forecasts with superior accuracy and reliability compared to leading operational forecasts. This advancement marks a significant…
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This AI Paper from Northeastern University and MIT Develop Interpretable Concept Sliders for Enhanced Image Generation Control in Diffusion Models
Researchers from Northeastern University, MIT, and an independent researcher developed Concept Sliders for text-to-image diffusion models, allowing fine-grained image control and editing. This method enables manipulation of visual concepts that are usually hard to describe in…
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Top Data Analytics Courses
Data Analysis for Informed Decisions Data analysis turns raw data into actionable insights, helping organizations make informed decisions. Skilled data analysts are in high demand due to the increasing reliance on data-driven strategies in businesses. Practical…
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A New Deep Learning Research Identifies Antimalarial Drug as a Possible Treatment for Osteoporosis
Scientists have discovered a potential treatment for osteoporosis by reprogramming bone marrow cells using deep learning algorithms. They found that administering dihydroartemisinin (DHA), a derivative of a malaria treatment component, reduced bone loss in mice and…
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Introducing OpenAI Japan
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15+ Artificial Intelligence AI Tools For Developers (2024)
GitHub Copilot GitHub Copilot is a cutting-edge AI-powered coding assistant that helps developers produce high-quality code more efficiently. It uses OpenAI’s Codex language model to offer valuable suggestions, complete lines of code, write comments, and aid…
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SineNet by Texas A&M University and the University of Pittsburgh Innovates PDE Solutions: Addressing Temporal Misalignment in Fluid Dynamics Through Deep Learning
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ABBYY FlexiCapture vs UiPath Document Understanding: Who Automates Complex Forms with More Flexibility?
Comparing AI Document Automation: ABBYY FlexiCapture vs. UiPath Document Understanding Purpose of Comparison: This comparison aims to evaluate ABBYY FlexiCapture and UiPath Document Understanding, two leading AI-powered Intelligent Document Processing (IDP) solutions, focusing on their capabilities…
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CAMEL-AI Unveils CAMEL: Revolutionary Multi-Agent Framework for Enhanced Autonomous Cooperation Among Communicative Agents
CAMEL-AI Unveils CAMEL: Revolutionary Multi-Agent Framework for Enhanced Autonomous Cooperation Among Communicative Agents CAMEL-AI has introduced CAMEL, a communicative agent framework designed to enhance scalability and autonomous cooperation among language model agents. The framework minimizes the…
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Deep dive into pandas Copy-on-Write mode — part III
Summary: The article provides detailed information on pandas Copy-on-Write (CoW) mode and its impact on existing code. It offers guidance on avoiding errors, particularly with chained assignment and inplace operations. It also advises on accessing the…
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Deploy a Firecrawl-Powered MCP Server on Claude Desktop with Smithery and VeryaX
Deploying a Fully Integrated Firecrawl-Powered MCP Server Deploying a Fully Integrated Firecrawl-Powered MCP Server This guide will help you set up a fully functional Model Context Protocol (MCP) server using Smithery for configuration and VeryaX for…
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AI21 Labs Released Jamba 1.5 Family of Open Models: Jamba 1.5 Mini and Jamba 1.5 Large Redefining Long-Context AI with Unmatched Speed, Quality, and Multilingual Capabilities for Global Enterprises
AI21 Labs Released Jamba 1.5 Family of Open Models: Jamba 1.5 Mini and Jamba 1.5 Large Redefining Long-Context AI with Unmatched Speed, Quality, and Multilingual Capabilities for Global Enterprises AI21 Labs has introduced the Jamba 1.5…
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OpenAI Introduces Deep Research: An AI Agent that Uses Reasoning to Synthesize Large Amounts of Online Information and Complete Multi-Step Research Tasks
Introducing Deep Research by OpenAI Deep Research is a powerful tool that helps users perform in-depth investigations on various topics. Unlike regular search engines that provide links, Deep Research creates detailed reports by gathering information from…
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Less Data Annotation + More AI = Deep Active Learning
Deep Active Learning (DAL) streamlines AI model training by efficiently selecting the most instructive data for labeling. This technique can halve the amount of data required, saving time and costs, while enhancing model performance. DAL’s future…
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Deep Learning Approach for Lithium-Ion Battery Life Prediction via Dual-Stream Vision Transformer
Predicting Battery Lifespan with Deep Learning Introduction Predicting battery lifespan is crucial for the reliability and safety of systems like electric vehicles and energy storage. Conventional methods struggle with generalization and are computationally intensive, making them…