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🗣 How did we live without you? AI that can read doctors' handwriting 🥹 You upload an image, and Microsoft's neural network converts it into text. This feature is currently being tested in the OneNote app and will soon be available to all users. ✍️

🗣Mark Zuckerberg’s neural network shows significant results during testing. In essence, Llama 3.1 is one of the most powerful AI systems available today, and it’s free of charge. 🤖💥

🗣 The hyped neural network from the Celestial Empire, Kling, is now available to everyone. 🌐🧠 Access requires just an email address. 📧 Kling creates videos and images from prompts directly in your browser. 🎥🖼️

The Secret To Creating the Next Billion Dollar 💰 AI Startup !

Hey there, great news for all call center employees! Neural networks have been designed by SoftBank to identify the emotions of customers. If a caller is angry, the technology can then adjust their voice to make it less harsh, which in turn helps t

jAI is funded 🎉 for integration into Fintech prods Sankalp will be next thing to optimize one of the lowest quality prompts An automatic prompt engineering assistant designed for generative AI (GenAI) applications. It aims to simplify the process

At Future4coding by Curiolab our newsletter, we're building the gold standard in AI-assisted Software intelligence. Our team has been dedicated to understanding and evaluating open-source LLMs in the coding world — benchmarking models, creating compa

🗣 OpenAI's plans for the next 5 years have been leaked 😨 So, what's in store for us: • End of 2024 - the release of the smartest neural network, GPT-Next. It will surpass all previous models. 🤯 • 2025 – No more dealing with routine tasks. AI age

The AI Legends #75 Days Day 7: Frank Rosenblatt Rosenblatt is best known for his work in developing the perceptron, an early form of artificial neural network. History: Frank Rosenblatt was an American psychologist born on July 11, 1928, in New York

🚀 Calling all Software Engineers! Here's how to upgrade for the AI era😶: -1. Learn AI Fundamentals: Understand ML, neural networks, and deep learning. -2. Specialize: Focus on NLP, computer vision, or reinforcement learning. -3. Practice: Build AI