Expert systems

CLIPS

CLIPS is a public domain software tool for building expert systems. The name is an acronym for "C Language Integrated Production System." The syntax and name were inspired by Charles Forgy's OPS5. The first versions of CLIPS were developed starting in 1985 at NASA-Johnson Space Center (as an alternative for existing system ART*Inference) until the mid-1990s when the development group's responsibilities ceased to focus on expert system technology. The original name of the project was "NASA's AI Language" (NAIL). CLIPS was probably the most widely used expert system tool as of 2005. CLIPS itself is written in C, extensions can be written in C, and CLIPS can be called from C. Its syntax resembles that of the programming language Lisp. CLIPS incorporates a complete object-oriented language for writing expert systems. COOL combines the programming paradigms of procedural, object oriented and logical (theorem proving) languages. (Wikipedia).

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From playlist Clips for Class

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PHYS201x credits

This is the credit reel I made for PHYS201x.

From playlist Trailers and Credits

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Life is hard, but it's harder if you're ugly

Twitch: https://www.twitch.tv/leioslabs #clips #twitch #shorts

From playlist clips

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via YouTube Capture

From playlist Random

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In this video we show how to overlay images and text on top of video clips using Blender. We also show how to add sound effects and soundtracks to the clip. Topic and Timestamps: 0:00 – Introduction 3:00 - Adding voice-overs and sound effects 5:34 - Adding image/picture overlays 11:57 -

From playlist Blender as a Video Editor

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From playlist Interviews and Shows

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[Behind the Scenes] Cutting a Clip

For everyone who ever wondered what it looks like when I edit a video. As you can see, it's a pretty bare bones process with three simple steps: 1. Airdrop the video from my iPad Air (which does the filming) to my iPad Pro (which does the editing, as it has a faster processor) 2. Work out

From playlist Random

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Full video at https://youtu.be/U0soSn7BojQ

From playlist Shorts

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Ancient wisdom

Twitch: https://www.twitch.tv/leioslabs #clips #twitch #shorts

From playlist clips

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OpenAI’s CLIP explained! | Examples, links to code and pretrained model

Ms. Coffee Bean explains ❓ how OpenAI‘s CLIP works, ❔ what it can and cannot do ⁉️ and what people have been up to using CLIP in awesome applications! ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🔥 Optionally, pay us a coffee to boost our Coffee Bean production! ☕ Patreon: https://www.patreon.com/AICoffeeB

From playlist The Transformer explained by Ms. Coffee Bean

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On the Convergence of Deep Learning with Differential Privacy

A Google TechTalk, presented by Zhiqi Bu, 2021/07/02 ABSTRACT: Differential Privacy for ML Series. In deep learning with differential privacy (DP), the neural network achieves the privacy usually at the cost of slower convergence (and thus lower performance) than its non-private counterpa

From playlist Differential Privacy for ML

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MIT 5.08J Biological Chemistry II, Spring 2016 Instructor: Elizabeth Nolan View the complete course: https://ocw.mit.edu/5-08JS16 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63vvR4xtexZdoPywRYIZI0- Today's lecture looks at protein degradation machines, which consist

From playlist MIT 5.08J Biological Chemistry II, Spring 2016

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From playlist Tadashi Tokieda on Numberphile

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A Geometric View on Private Gradient-Based Optimization

A Google TechTalk, presented by Steven Wu, 2021/04/16 ABSTRACT: Differential Privacy for ML Series. Deep learning models are increasingly popular in many machine learning applications where the training data may contain sensitive information. To provide formal and rigorous privacy guaran

From playlist Differential Privacy for ML

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Eureka Math Grade 1 Module 3 Lesson 7

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From playlist Eureka Math Grade 1 Module 3

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Clipping Images: CSS Tutorial (Day 3 of CSS3 in 30 Days)

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From playlist CSS3 in 30 Days

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In this tutorial to teach you how to split clips and break audio into clips. Did you enjoy this video? Thank You! Subscribe, IT'S FREE ;) - NOandROfilms: http://goo.gl/aSPC6 - Facebook: http://goo.gl/3S7O1b - Instagram: http://goo.gl/eTSZO - Vine: NOandROfilms Funny LiVE FiLMS: http://g

From playlist CosmoLearning: iMovie Tutorials by NOandROfilms

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OpenAI's CLIP for Zero Shot Image Classification

State-of-the-art (SotA) computer vision (CV) models are characterized by a *restricted* understanding of the visual world specific to their training data [1]. These models can perform *very well* on specific tasks and datasets, but they do not generalize well. They cannot handle new class

From playlist Computer Vision and Search Course

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LongShots: The BBC's first online film festival

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From playlist LongShots Film Festival

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