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Top 10 Open-Source Data Science Tools in 2022

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. You probably know about these already. There is nothing wrong with these libraries; they're already the bare minimum essential for data science using python.


Modern Computing: A Short History, 1945-2022

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Inspired by A New History of Modern Computing by Thomas Haigh and Paul E. Ceruzzi. But the selection of key events in the journey from ENIAC to Tesla, from Data Processing to Big Data, is mine. This was the first computer made by Apple Computers Inc, which became one of the fastest growing ... [ ] companies in history, launching a number of innovative and influential computer hardware and software products. Most home computer users in the 1970s were hobbyists who designed and assembled their own machines. The Apple I, devised in a bedroom by Steve Wozniak, Steven Jobs and Ron Wayne, was a basic circuit board to which enthusiasts would add display units and keyboards. April 1945 John von Neumann's "First Draft of a Report on the EDVAC," often called the founding document of modern computing, defines "the stored program concept." July 1945 Vannevar Bush publishes "As We May Think," in which he envisions the "Memex," a memory extension device serving as a large personal repository of information that could be instantly retrieved through associative links.


Raising Robovoices

Communications of the ACM

In a critical episode of The Mandalorian, a TV series set in the Star Wars universe, a mysterious Jedi fights his way through a horde of evil robots. As the heroes of the show wait anxiously to learn the identity of their cloaked savior, he lowers his hood, and--spoiler alert-- they meet a young Luke Skywalker. Actually, what we see is an animated, de-aged version of the Jedi. Then Luke speaks, in a voice that sounds very much like the 1980s-era rendition of the character, thanks to the use of an advanced machine learning model developed by the voice technology startup Respeecher. "No one noticed that it was generated by a machine," says Dmytro Bielievtsov, chief technology officer at Respeecher.


Understand your Customer Better with Sentiment Analysis

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. "Your most unhappy customers are your greatest source of learning."


Can Computers Learn Common Sense?

The New Yorker

A few years ago, a computer scientist named Yejin Choi gave a presentation at an artificial-intelligence conference in New Orleans. On a screen, she projected a frame from a newscast where two anchors appeared before the headline "CHEESEBURGER STABBING." Choi explained that human beings find it easy to discern the outlines of the story from those two words alone. Had someone stabbed a cheeseburger? Had a cheeseburger been used to stab a person?


Netflix's Newest No. 1 Is an Insult to Its Own Subject

Slate

It's the moment of truth on Netflix's new baking competition show Is It Cake?. The judges face a display of sneakers, all seemingly inedible, as sneakers generally are. They consult one another, after which they pronounce one of them to be made of cake. The host comes over with a large knife and lowers it onto the chosen sneaker. It sticks into the material: It's a sneaker. He moves to the judges' second guess.


Can You Code Empathy? with Pascale Fung

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ANJA KASPERSEN: Today I am very pleased to be joined by Pascale Fung. Pascale is a;rofessor in the Department of Electronic and Computer Engineering and Department of Computer Science and Engineering at The Hong Kong University of Science and Technology. She is known globally for her pioneering work on conversational artificial intelligence (AI), computational linguistics, and was one of the earliest proponents of statistical and machine-learning approaches for natural language processing (NLP). She is now leading groundbreaking research on how to build intelligent systems that can understand and empathize with humans. I have really been looking forward to this conversation with you. Your professional accolades are many, most of which we will touch on during our conversation. However, for our listeners to get to know you a bit better, I would like us to go back to your upbringing during what I understand to be a very tenuous political period in China. I was born, spent my childhood, ...


Analysis of Transformer, Attention Mechanism and BERT

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Previous dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. Given an input sequence, models based on RNN will process the sequence word by word, they generate a sequence of hidden states, as a function of the previous hidden state and the input for position t. This inherently sequential nature precludes parallelization within training examples, which becomes critical at longer sequence lengths, as memory constraints limit batching across examples. However, Transformer is based solely on attention mechanisms, dispensing with recurrence and convolutions entirely, to draw global dependencies between input and output, which also allows for more parallelization. Experiments on two machine translation tasks in this paper show these models to be superior in quality while being more parallelizable and requiring significantly less time to train.


Learn AI from Top Universities Through these 10 Courses

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. There are many online platforms that provide online courses for AI.


LAPD officers now required to explain 'pretextual' stops on cameras

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Los Angeles police officers will now have to explain their reasons for making so-called "pretextual stops" as part of a policy adopted Tuesday aimed at preventing the LAPD from stopping people for minor infractions in an effort to initiate a larger investigation for bigger crimes. The move was unanimously approved by the five-member Los Angeles Police Commission. A pretextual stop is when officers stop pedestrians, motorists and bicyclists for minor violations to investigate other crimes not related to the violation, according to the commission agenda.