🧵 5. AlphaProteo's innovative protein design extends to applications in drug development, disease diagnosis, and cellular imaging, revolutionizing biological research.

🧵 4. With AlphaProteo's ability to design binders against various proteins like SARS-CoV-2 and cancer-related targets, efficiency in experimentation rises.

🧵 3. The AI's success in designing high-affinity protein binders opens doors for enhanced biological and health research, from disease diagnosis to crop resistance.

🧵 2. AlphaProteo's protein binders have proven 10x stronger than existing methods, particularly effective against new coronavirus and cancer-related proteins.

🧵 1. DeepMind unveils AlphaProteo, an AI system that designs proteins binding to target molecules for drug development and disease research acceleration. #tech

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🧵 5. Novel method based on Lorentz oscillator model shows potential for biomedical applications, allowing for deep tissue imaging and functional studies in organisms.

🧵 4. Introducing a dye that absorbs UV and blue light temporarily increases tissue refractive index, reducing light scattering for optical transparency in tissues.

🧵 3. Experiment on mice using tartrazine made skin transparent for observing intestinal neurons. This non-surgical method offers high-resolution imaging on living animals.

🧵 2. By dissolving absorbing molecules like lemon yellow in water, tissue refractive index is matched to reduce light scattering, making tissues transparent.

🧵 1. Scientists develop method to make animal tissues transparent using a special solution for better optical imaging in medical and biological research. #tech

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🧵 5. Trained on Llama 3.1 and employing system prompts, Reflection 70B excels at complex reasoning tasks, offering reflective and accurate answers using chat format.

🧵 4. By separating reasoning process from final answers, model ensures transparency and improved user understanding, using special tags for reasoning logic clarity.

🧵 3. Reflection 70B introduces Reflective Tuning, allowing it to self-correct reasoning errors and enhance answer accuracy, increasing reliability with error detection.

🧵 2. This AI model enhances chain thinking by breaking the planning process into steps, ensuring clear outputs and improved performance compared to competitors.

🧵 1. The Reflection 70B AI model uses Reflective Tuning to correct reasoning errors, surpassing top closed source models on benchmarks like MMLU and MATH. #tech

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🧵 5. Dive into the world of artificial intelligence with top blogs like OpenAI, MIT, Google AI, and more. Explore research, ethics, and latest breakthroughs in the field.

🧵 4. Stay updated on AI advancements with Google AI and DeepMind blogs. Explore projects, games, and general AI. Amazon Web Services provides machine learning resources.