AI winning Nobel and Alphafold Deep Dive

AI Blindspot

💡 𝗡𝗼𝗯𝗲𝗹 𝗣𝗿𝗶𝘇𝗲𝘀 - 𝗔𝗜 𝗛𝘆𝗽𝗲 𝗼𝗿 𝗴𝗹𝗶𝗺𝗽𝘀𝗲 𝗶𝗻𝘁𝗼 𝗦𝗶𝗻𝗴𝘂𝗹𝗮𝗿𝗶𝘁𝘆? 💡

One of the biggest moments from this year's Nobel announcements was AI's double win!

𝗡𝗼𝗯𝗲𝗹 𝗶𝗻 𝗣𝗵𝘆𝘀𝗶𝗰𝘀

• Geoffrey Hinton and John Hopfield: Awarded for their pioneering work on neural networks, integrating physics principles like energy-based models and statistical physics into machine learning.

𝗡𝗼𝗯𝗲𝗹 𝗶𝗻 𝗖𝗵𝗲𝗺𝗶𝘀𝘁𝗿𝘆

• John Jumper and Demis Hassabis: Recognized for AlphaFold, which merges AI, biology, and chemistry to predict protein structures, transforming drug discovery.

𝗪𝗵𝘆 𝗶𝘀 𝗶𝘁 𝗰𝗼𝗻𝘁𝗿𝗼𝘃𝗲𝗿𝘀𝗶𝗮𝗹?

• Critics argue that machine learning is computer science, not physics or chemistry and that AI hype may be overshadowing traditional disciplines.
• Supporters praise the interdisciplinary nature, reflecting a broadening of modern science that pushes boundaries and merges fields.

𝗔𝗿𝗲 𝘄𝗲 𝗴𝗹𝗶𝗺𝗽𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗿 𝗷𝘂𝘀𝘁 𝗳𝗮𝗹𝗹𝗶𝗻𝗴 𝗳𝗼𝗿 𝗔𝗜 𝗵𝘆𝗽𝗲? Are these breakthroughs taking us closer to singularity and a new era of scientific exploration, or is it overhyped?

In this episode of AI Blindspot, we explore these questions, dive deep into the AlphaFold research paper, and discuss its impact across various fields, as well as the future of AI in science.