Karol Klepacki PRO

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karolklepacki

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reacted to openfree's post with 🤯 6 days ago

# 🧬 Protein Genesis AI: Design Proteins with Just a Prompt ## 🤔 Current Challenges in Protein Design Traditional protein design faces critical barriers: - 💰 High costs ($1M - $10M+) & long development cycles (2-3 years) - 🔬 Complex equipment and expert knowledge required - 📉 Low success rates (<10%) - ⏰ Time-consuming experimental validation ## ✨ Our Solution: Protein Genesis AI Transform protein design through simple natural language input: ``` "Design a protein that targets cancer cells" "Create an enzyme that breaks down plastic" ``` ### Key Features - 🤖 AI-powered automated design - 📊 Real-time analysis & optimization - 🔬 Instant 3D visualization - 💾 Immediate PDB file generation ## 🎯 Applications ### Medical & Industrial - 🏥 Drug development - 💉 Antibody design - 🏭 Industrial enzymes - ♻️ Environmental solutions ### Research & Education - 🔬 Basic research - 📚 Educational tools - 🧫 Experimental design - 📈 Data analysis ## 💫 Key Advantages - 👨‍💻 No coding or technical expertise needed - ⚡ Results in minutes (vs. years) - 💰 90% cost reduction - 🌐 Accessible anywhere ## 🎓 Who Needs This? - 🏢 Biotech companies - 🏥 Pharmaceutical research - 🎓 Academic institutions - 🧪 Research laboratories ## 🌟 Why It Matters Protein Genesis AI democratizes protein design by transforming complex processes into simple text prompts. This breakthrough accelerates scientific discovery, potentially leading to faster drug development and innovative biotechnology solutions. The future of protein design starts with a simple prompt! 🚀 https://huggingface.co/spaces/openfree/ProteinGenesis

liked a Space 8 days ago

osanseviero/gemini-coder

reacted to DawnC's post with ❤️ 8 days ago

🌟 PawMatchAI: Making Breed Selection More Intuitive! 🐕 Excited to share the latest update to this AI-powered companion for finding your perfect furry friend! I've made significant architectural improvements to enhance breed recognition accuracy and feature detection. ✨ What's New? Enhanced breed recognition through advanced morphological feature analysis: - Implemented a sophisticated feature extraction system that analyzes specific characteristics like body proportions, head features, tail structure, fur texture, and color patterns - Added an intelligent attention mechanism that dynamically focuses on the most relevant features for each image - Improved multi-dog detection capabilities through enhanced spatial feature analysis - Achieved better precision in distinguishing subtle breed characteristics 🎯 Key Features: Smart breed recognition powered by advanced AI architecture Visual matching scores with intuitive color indicators Detailed breed comparisons with interactive tooltips Lifestyle-based recommendations tailored to your needs 💭 Project Vision Combining my passion for AI and pets, this project represents another step toward creating meaningful AI applications. Each update aims to make the breed selection process more accessible while improving the underlying technology. 👉 Try it now: https://huggingface.co/spaces/DawnC/PawMatchAI Your likes ❤️ on this space fuel this project's growth! #AI #MachineLearning #DeepLearning #Pytorch #ComputerVision #TechForLife

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Hey HuggingFacers. Happy New Year!

I'm Karol, CTO with strong business acumen. It's a bit too much on a "culture" side, to be core here, but I wrote an article that highlights rather overlooked societal risks of "AI Agents Reverse Alignment". Happy to hear your thoughts!
Also: I'm looking for a mentor / reviewer regarding research paper around AI Agents Topology - [email protected]

https://karolklepacki.substack.com/p/heralds-of-reverse-ai-alignment

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