The Future of Artificial Intelligence
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The State of State of AI Report

The State of State of AI Report | The Future of Artificial Intelligence | Scoop.it

"Introduction The State of AI Report is our comprehensive round-up of the most important developments of the year in AI research, industry, safety, and politics. I started co-producing the report in 2018 with fellow investor Ian Hogarth. After he took on the important role of leading the UK Government’s AI Safety Taskforce, it was a Team Air Street production in 2023." - by Air Street Capital & Nathan Benaich

Juliette Decugis's insight:

From AlphaGo to LLMs with other big innovations such as diffusion models and CLIP, the past five years have seen a rapid boost in AI development through the creation of many private labs, GPU investments by big tech companies and a focus on open source models. This report highlights the key research developments of AI but most interestingly the ecosystem's changes and its societal impacts. High level and easy to read :)

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Geoffrey Hinton’s Forward-Forward Algorithm Charts a New Path for Neural Networks

Geoffrey Hinton’s Forward-Forward Algorithm Charts a New Path for Neural Networks | The Future of Artificial Intelligence | Scoop.it

"Hinton proposes the FF algorithm as an alternative to backpropagation for neural network learning."

Juliette Decugis's insight:

At NeurIPS 2022, I had the pleasure of hearing Geoffrey Hinton present his new way for DNN to learn the "forward forward" algorithm. Preliminary work shows good performance on classical benchmarks such as MNIST with less computations and more similarities with our human brain. 

 

Who knows maybe one day similar algorithms will replace good old back propagation? 

 

Full paper, accessible here if you're curious. Hinton also promised to release his code soon so the community can play with it :) 

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