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A New Olympics Event: Algorithmic Video Surveillance

Flipboard

If, however, the surveillance system fines one neglectful neighbor more than another because its algorithm favors one skin color or clothing style over another, opinions could change. It insists that algorithms under its authority “do not process any biometric data and do not implement any facial recognition techniques.

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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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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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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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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.

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Getting Started with AI

Towards AI

In ML, there are a variety of algorithms that can help solve problems. In graduate school, a course in AI will usually have a quick review of the core ML concepts (covered in a previous course) and then cover searching algorithms, game theory, Bayesian Networks, Markov Decision Processes (MDP), reinforcement learning, and more.

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

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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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