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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AlphaGo: using machine learning to master the ancient game of Go

AlphaGo: using machine learning to master the ancient game of Go | The Future of Artificial Intelligence | Scoop.it
We are thrilled to have mastered Go and thus achieved one of the grand challenges of AI.
Juliette Decugis's insight:
In 2015, AlphaGo created by DeepMind became the first computer program to beat a professional player in the game of Go. Playing against itself, AlphaGo learned to master not only the most complex Go moves but more importantly discovered new techniques unknown to champions. AlphaGo could represent the start of the future of AI. 
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DeepMind breaks 50-year math record using AI; new record falls a week later – Ars Technica

DeepMind breaks 50-year math record using AI; new record falls a week later – Ars Technica | The Future of Artificial Intelligence | Scoop.it

"Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix multiplication, conquering a 50-year-old record. This week, two Austrian researchers at Johannes Kepler University Linz claim they have bested that new record by one step."

Juliette Decugis's insight:

Driven by the success of AlphaGo in defeating world champion Go players, Deep Mind researchers redesigned matrix multiplication as a board game, learnable through reinforcement learning. They trained AlphaTensor on this innovative state space. It successfully learned past matrix multiplication techniques and even designed its own, faster by 2 operations. This represents a huge breakthrough for artificial intelligence. It promises first acceleration of deep learning training as even a two step acceleration could lead to hundreds and even thousands less operations on large datasets. On a higher level, these results also demonstrate the capacity of machines to innovate beyond human learning. AlphaGo identified game playing strategies unknown to experts and for the first time GoogleAI was able to generalize this new learning to another domain. This innovation by AlphaTensor later improved on by Austrian researchers promises a future where machine and humans learn from each other.

 

Link to deep mind article discussing novel matrix multiplication optimization algorithm (AlphaTensor): https://www.deepmind.com/blog/discovering-novel-algorithms-with-alphatensor

 

 

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