Nobel prize winners stir debate over AI research
- The Nobel Prize in Physics has been awarded to Geoffrey Hinton and John Hopfield for their work on machine learning.
- Geoffrey Hinton expressed that AI's rapid development raises concerns about the future collectively.
- Hinton warned that while AI increases productivity, the wealth from this will benefit the rich, negatively impacting those who lose jobs.
314 Articles
314 Articles
Philosophy class: The week that artificial intelligence swept the Nobel Prizes
Sir Demis Hassabis discusses the limitations of AI as well as the advantages. He says current AI systems cannot replace human scientists: “The human ingenuity comes in — asking the question, the conjecture, the hypothesis, our systems can’t do any of that . . . [AI] just analyses data right now.”
UP sets AI conference amid recognition of the technology’s social impact
As the 2024 Nobel Prize hails scientific breakthroughs which made artificial intelligence (AI) technology possible, the University of the Philippines is set to gather the country’s experts for a conference underscoring AI’s profound impact on society, modern science, and the research community.
Collingwood Today
BEYOND LOCAL: Nobel Prize in chemistry awarded to David Baker, Demis Hassabis and John Jumper for work on proteins
The Nobel Prize in chemistry was awarded Wednesday to David Baker, Demis Hassabis and John Jumper for their work with proteins.
This year’s Nobel Prizes saw artificial intelligence (AI) enter the scientific arena in a major way, with pioneers in the field being honoured in the Physics and Chemistry Prizes. Geoffrey Hinton and John Hopfield were awarded the Physics Prize for their work on neural networks, while the Chemistry Prize went to the developers of Google DeepMind’s AlphaFold tool, which uses AI to predict the structures of proteins. Read also: 3 Scientists Win No…
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