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This year's Nobel Prizes have sparked significant controversy due to the recognition of AI pioneers associated with Google. The Chemistry prize was awarded to Demis Hassabis and John Jumper from Google's DeepMind for their work on protein folding prediction, while Geoffrey Hinton, a former Google researcher, won in Physics for his contributions to neural networks. This situation raises concerns about the influence of Big Tech on AI research and the potential neglect of ethical considerations.
Experts are questioning whether the current categorization of AI achievements within traditional Nobel Prize categories is appropriate. The dominance of companies like Google in AI research creates an uneven playing field, prioritizing profit-driven projects over fundamental research. Calls for a dedicated Nobel Prize for computer science and increased funding for academic research highlight the urgent need for ethical guidelines in AI development.
• Nobel Prizes awarded to AI pioneers linked to Google raise ethical concerns.
• Calls for dedicated Nobel Prize for computer science to recognize AI advancements.
AI is central to the achievements recognized in the Nobel Prizes, highlighting its growing importance in scientific research.
Geoffrey Hinton's work on neural networks is foundational to modern AI, underscoring its significance in the Nobel recognition.
The Nobel Prize in Chemistry awarded to Hassabis and Jumper emphasizes the role of AI in solving complex biological problems.
Google's influence in AI is highlighted by the Nobel Prizes awarded to its researchers.
DeepMind's work on protein folding prediction earned its founders a Nobel Prize, showcasing its impact on science.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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