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Nobel Prize goes neural π
Physics prize validates machine learning
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AI pioneers win Nobel Prize for neural networks π§
TL;DR
AI pioneers John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in Physics for groundbreaking work in neural networks and deep learning.
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton βfor foundational discoveries and inventions that enable machine learning with artificial neural networks.ββ The Nobel Prize (@NobelPrize)
9:47 AM β’ Oct 8, 2024
Key Takeaways
Hopfield's contributions include the Hopfield network, which is fundamental in understanding associative memory in artificial neural networks.
Hinton developed crucial deep learning frameworks, particularly backpropagation algorithms, for training large-scale neural networks.
The award underscores AI's profound impact on science and technology, inspiring continued research and investment.
The 2024 #NobelPrize laureates in physics used tools from physics to construct methods that helped lay the foundation for todayβs powerful machine learning.
John Hopfield created a structure that can store and reconstruct information. Geoffrey Hinton invented a method that canβ¦ x.com/i/web/status/1β¦
β The Nobel Prize (@NobelPrize)
9:48 AM β’ Oct 8, 2024
Why It Matters
The Nobel Prize recognition for AI pioneers Hopfield and Hinton marks a pivotal moment in science, elevating AI's status from a niche field to a fundamental force in physics and beyond. This milestone will likely accelerate AI research, attract more talent, and increase funding, potentially leading to even more groundbreaking discoveries.
What People Say on X
Congratulations to @geoffreyhinton for winning the Nobel Prize in physics!!
β Ilya Sutskever (@ilyasut)
7:44 PM β’ Oct 8, 2024
And the 2024 Nobel Prize in Physics does not go to physics...
β Sabine Hossenfelder (@skdh)
10:00 AM β’ Oct 8, 2024
π° In the News
Headlines & Launches π£
Anthropic launched its Message Batches API, offering 50% discounts on large-scale AI processing. The service handles up to 10,000 queries within 24 hours, making advanced AI more accessible to businesses. This move challenges competitors like OpenAI and could accelerate AI adoption among mid-sized enterprises previously priced out of large-scale AI applications.
OpenAI's partnerships with publishers have led to a decrease in GPTBot blocking. Over a third of top media sites initially blocked the bot, but this has dropped to about a quarter following deals with companies like Dotdash Meredith and CondΓ© Nast.
OpenAI is opening new offices in NYC, Seattle, Paris, Brussels, and Singapore to facilitate global expansion. The company plans to build a team in Singapore that will serve as a hub for Asia Pacific customers and partners. OpenAI is also partnering with AI Singapore to expand access to its technology in Southeast Asia, capitalizing on the region's high ChatGPT adoption rates.
Hot New Tools π§°
SciSummary, a new AI-driven tool, summarizes complex scientific articles in minutes. Users can email texts, links, or PDFs to receive concise summaries, making research more accessible. Currently, the service is free in public beta and uses custom-tuned GPT-3 models guided by PhD experts.
TurboScribe v2.1 offers AI-powered transcription for audio and video in over 98 languages. The tool provides unlimited transcriptions, speaker recognition, and built-in translation. With competitive pricing and a free tier, TurboScribe aims to streamline content creation for businesses and solopreneurs.
Miscellaneous π
Jason Allen appeals the U.S. Copyright Office's refusal to register his AI-generated artwork. He argues that his extensive prompting process constitutes significant human authorship.
Meta and Palantir, two AI-driven companies, have seen significant stock gains since September. Meta's stock hit record highs with a 68% year-to-date increase, while Palantir surged 133%. The rally followed Meta's AI product announcements and Palantir's inclusion in the S&P 500 Index.
Former Google CEO Eric Schmidt advocates for unrestricted AI development despite environmental concerns. At a recent AI summit, Schmidt argued that climate goals are unattainable and suggested letting AI solve its own energy consumption problems.
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Thanks for reading,
β Cagri Sarigoz
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