Code & AI Hub

11/05/2026

Google Vids now lets everyone generate videos at no cost. Anyone with a Google account can now generate up to 10 videos a month with our easy-to-use AI-powered video editing suite, Google Vids, at no cost.

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This is a short demonstration trying to create a documentary video about mountain climbing without leaving the Google Vids platform.

01/05/2026

In this video, we build an AI-powered Storybook Generator using Google Colab step by step

This project allows you to automatically generate bilingual storybooks (English + Arabic) for children, complete with:
✨ Simple English sentences.
🌍 Arabic translations.
🎨 AI-generated illustrations.
📄 Downloadable PDF storybook.

To achieve this, we leverage free and powerful AI models: Meta-Llama-3-8B-Instruct for text generation and Stable Diffusion XL (SDXL) Base 1.0 for image creation. Additionally, we use the Gradio framework to design an interactive user interface, allowing users to select story themes such as “Friendship and Desert Adventure,” “Animals in the Forest,” or “Space Adventure.” The final output is automatically compiled into a well-structured PDF storybook.

🚀 Build an AI Bilingual Children’s Storybook Generator with Free Resources | Full Tutorial

26/04/2026

🧠✨ How do attention mechanisms work in AI?
Ever wondered how AI models like chatbots or translators seem to “focus” on the most important parts of a sentence? That’s the power of attention mechanisms.
Instead of treating every word equally, attention allows AI to weigh the importance of each word when processing information. For example, in the sentence “The food was amazing, but the service was slow”, attention helps the model understand that “amazing” relates to food, while “slow” relates to service — capturing context more accurately.
🔍 Think of it like reading: your brain doesn’t give equal focus to every word. You naturally pay more attention to keywords that carry meaning. AI does something similar, but mathematically.
💡 This concept became a game changer with models like Transformers, enabling:
• Better language understanding
• More accurate translations
• Smarter chatbots
• Powerful models like GPT and BERT
🚀 In short, attention mechanisms help AI decide what matters most — and that’s why modern AI feels so intelligent.

28/03/2026

The new features in the Gemini app in March's Gemini Drop.
and contain the following points:

1- Transfer your AI memories and chat history from other providers in just a few clicks. Instead of starting over, quickly get Gemini up to speed on the context and conversations that matter most to you.

2- Get help that’s made for you with Personal Intelligence, now free for all Gemini users in the U.S. By connecting across Gmail, Photos, and YouTube, Gemini can help you plan vacations or projects.

3- Experience the most interactive Google TV yet with Gemini-powered visual answers and narrated deep dives.

4- Compose longer tracks up to 3 minutes using the new Lyria 3 Pro. Subscribers can now turn photos or thoughts into high-fidelity anthems with lyrics.

5- Brainstorm out loud with our biggest upgrade to Gemini Live yet. Contopversations on 3.1 now flow faster and hold your context twice as long, allowing for more natural, intuitive dialogue without the need to repeat yourself.

14/03/2026

An optimization algorithm is a computational method used to find the best possible solution to a problem from a set of possible solutions by maximizing or minimizing a specific objective function. These algorithms are widely used in machine learning, engineering, and data analysis to improve system performance and decision-making. Among the most popular metaheuristic optimization algorithms are the Particle Swarm Optimization (PSO) algorithm, which simulates the collective behavior of bird flocks to search for optimal solutions; the Bat Algorithm, inspired by the echolocation behavior of bats while hunting prey; and the Whale Optimization Algorithm, which mimics the bubble-net hunting strategy of humpback whales. These algorithms iteratively explore and exploit the search space to efficiently approximate global optimal solutions for complex problems.

10/03/2026

Lyria 3 is Google DeepMind's advanced AI music generation model, integrated into the Gemini app.
Lyria 3 is the most advanced AI music generation tool yet. They’ve developed it with input from producers and musicians so it understands musicality, from rhythm to arrangement.

As an example, I test it with the following prompt:
"
Music to motivate the person who worked hard to achieve their dreams contains "Don't stop, keep on, carry on, you can smash everything you cross." You can add other suggestions if you see it is suitable.
"

The results are in the video with music lyrics.
"""
Yeah… All that grinding paid the price.

Looking at the top from the highest height

Don’t stop, gotta push with all of your might.

Keep on, carry on , reach from the light.

Don’t stop, keep on, carry on.

You can smash everything you cross.
"""

23/02/2026

How does PaperBanana's multi-agent framework work?
PaperBanana coordinates five specialized agents in sequence: the Retriever locates reference visual samples from a curated high-quality library, the Planner translates text into structured visual layouts, the Stylist synthesizes aesthetic guidelines for color and typography, the Visualizer renders the illustration using Nano-Banana-Pro or executable Python code, and the Critic conducts three rounds of VLM-powered self-reflection to catch errors. This closed-loop architecture is what makes the system uniquely faithful, precise, and reliable for generating publication-quality academic illustrations.

21/02/2026

PaperBanana is an AI-powered academic figure generator built for researchers, PhD students, and scientists. Instead of spending hours wrestling with design software, you describe what you need in plain English, or paste your paper text and data, and PaperBanana produces publication-ready figures automatically. It accepts plain text descriptions, JSON data objects, and CSV tables as input, and outputs high-resolution PNG images suitable for journal submissions, conference papers, posters, and theses.

29/01/2026

🧠🤖 What is Neuro-Symbolic AI and why does it matter?
Neuro-Symbolic AI is an emerging approach that combines neural networks (data-driven learning) with symbolic reasoning (rules, logic, and domain knowledge).
While deep learning excels at understanding images, text, and audio, it often lacks explainability. On the other hand, symbolic AI is transparent and interpretable but struggles with large-scale, unstructured data.
👉 Neuro-symbolic AI bridges this gap, enabling systems that can both learn and reason.
📌 Where is it used?
• 🏥 Healthcare & medical diagnosis
• 🤖 Robotics & autonomous systems
• 💰 Finance & fraud detection
For example
Healthcare & Medical Diagnosis
• Combine medical knowledge rules (symptoms → diseases) with deep learning from images or patient records
• Example: Detect disease from X-rays (CNN) + apply medical guidelines for final diagnosis
• Benefit: Explainable and trustworthy decisions
Finance & Fraud Detection
• Deep learning detects suspicious patterns
• Symbolic rules enforce financial regulations
• Example: Flag transactions that violate compliance rules
• Benefit: Transparent and auditable decisions

✨ Why it’s important:
Neuro-symbolic systems offer better accuracy, explainability, and trust, making them ideal for safety-critical and regulated domains.
🚀 As AI moves toward more human-centric and responsible systems, neuro-symbolic AI is becoming a key building block for the future.

27/01/2026

🔐 How Modern Applications Handle Authentication
In today’s digital ecosystem, authentication has evolved far beyond simple username and password checks. Modern applications rely on secure, scalable, and user-friendly mechanisms such as OAuth 2.0, JWT, access and refresh tokens, and Single Sign-On (SSO) to protect user data and enable seamless experiences across platforms.
- Basic Authentication : sends credentials with every request, which is simple but insecure and rarely used in modern systems.

- Bearer tokens : improve security by allowing clients to authenticate using a token instead of raw credentials.

- OAuth 2.0 : is a widely adopted authorization framework that lets users grant limited access to their data without sharing passwords, often used with third-party logins.

- Within OAuth-based systems, JWT (JSON Web Tokens) are commonly used as compact, self-contained tokens that carry user identity and permissions.

- Access tokens : are short-lived and used to access protected resources, while refresh tokens allow obtaining new access tokens without re-authentication.

- Single Sign-On (SSO) enables users to authenticate once and access multiple applications seamlessly, improving both security and user experience.

By replacing basic authentication with token-based approaches, systems reduce security risks, improve performance, and support distributed architectures like microservices and cloud-native applications. Understanding these concepts is essential for building secure, modern software that balances strong security with great user experience.
🚀 Security is no longer optional, it’s a core design principle.