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Adaptive Gradient Algorithm

Dataconomy

The Adaptive Gradient Algorithm (AdaGrad) represents a significant stride in optimization techniques, particularly in the realms of machine learning and deep learning. What is the Adaptive Gradient Algorithm (AdaGrad)? Its innovative mechanisms quickly gained traction among researchers and practitioners in the field.

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The Meeting of the Minds That Launched AI

Hacker News

Scientists interested in this latter approach were also represented at Dartmouth and later championed the rise of symbolic logic, using heuristic and algorithmic processes, which I’ll discuss in a bit. The program relied on early ideas of symbolic logic, with algorithmic steps and heuristic guidance in list form.

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Automating Model Risk Compliance: Model Development

DataRobot Blog

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). With this definition of model risk, how do we ensure the models we build are technically correct?

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How artificial intelligence went from science fiction to science itself?

Dataconomy

Aristotle’s ideas on logic and rationality have influenced the development of algorithms and reasoning systems in modern AI, creating the foundation of the timeline of artificial intelligence. AI-powered robots are equipped with sensors, perception systems, and decision-making algorithms to perceive and interact with their environment.

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Can society adjust at the speed of artificial intelligence?

Flipboard

Some of his early published work on the question, from 2011 and 2012, raises questions about what shape those models will take, and how hard it would be to make developing them go well — all of which will only look more important with a decade of hindsight. I think many plausible regulations have a lot of downsides and may not succeed.

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Parsing English in 500 Lines of Python

Explosion

Today, almost all high-performance parsers are using a variant of the algorithm described below (including spaCy). There are lots of problems to solve to make that work, but some sort of syntactic representation is definitely necessary. But the parsing algorithm I’ll be explaining deals with projective trees.

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What Is ChatGPT Doing … and Why Does It Work?

Hacker News

And in fact the big breakthrough in “deep learning” that occurred around 2011 was associated with the discovery that in some sense it can be easier to do (at least approximate) minimization when there are lots of weights involved than when there are fairly few. First comes the embedding module. But that’s not the case.