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[AI/ML] Keswani’s Algorithm for 2-player Non-Convex Min-Max Optimization

Towards AI

Keswani’s Algorithm introduces a novel approach to solving two-player non-convex min-max optimization problems, particularly in differentiable sequential games where the sequence of player actions is crucial. Keswani’s Algorithm: The algorithm essentially makes response function : maxy∈{R^m} f (.,

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Life2vec offers an AI-powered way to learn when you will die

Dataconomy

By examining these specifics, the algorithm generates predictions about how long a person is likely to live. ” This algorithm processes individual life data using digital tokens, which categorize information with high specificity. The algorithm accurately predicted life outcomes, including death, with a 78% correctness rate.

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Engineering the First Fitbit: The Inside Story

Hacker News

The Fitbit prototype, sitting on its charger, booted up for the first time in December 2008. And so a critical next step would be a live public demo, which they scheduled for the TechCrunch conference in San Francisco in September 2008. Yuen, who was working on the algorithms, was based in Cambridge, Mass.,”

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The Future of Digital Marketing: AI and Automation (6 Tips)

Flipboard

In 2008 I observed people’s online activity with social media and I sensed a game changing technology. AI algorithms can analyze customer data and predict which products or services they are most likely to be interested in. Any change that taps human consciousness at that scale needs to be listened to and embraced.

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Using Machine Learning to Improve Cryptocurrency Mining Profitability

Smart Data Collective

Satoshi Nakamoto introduced the world to bitcoin in 2008. Blockchain is governed by some of the most sophisticated machine learning algorithms that are designed to maximize security. It is conducted by highly sophisticated machine learning algorithms. Cryptocurrencies are very secure, because they rely on the blockchain network.

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How Big Data Has Impacted The Real Estate Industry

Smart Data Collective

They will be even better at this in the future, as big data algorithms improve further. The error rate for real estate professionals using AI algorithms is just 9%. We saw a decline in real estate agents after the financial crisis of 2008, but the crisis wasn’t the only factor that drove agents to leave the business.

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Quan Sun on finishing in second place in Predict Grant Applications

Kaggle

What I tried and What ended up working I tried many different algorithms (mainly weka and matlab implementations) and feature sets in nearly 80 submissions. After the first 10 testing submissions, I realised that there was a concept drift happening between 2007 and 2008. The success rates decline gradually from 2007.