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Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner: Tuckfield, Bradford: 9781718500686: Amazon.com: Books

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Use algorithms to debug code, maximize revenue, schedule tasks, and create decision trees Measure the efficiency and speed of algorithms Generate Voronoi diagrams for use in various geometric applications Use algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles Write code for gradient ascent and descent algorithms that can find the maxima and minima of functions Use simulated annealing to perform global optimization Build a decision tree to predict happiness based on a person's characteristics Build a decision tree to predict happiness based on a person's characteristics


Researchers Blur Faces That Launched A Thousand Algorithms - AI Summary

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But last week every human face included in ImageNet suddenly disappeared--after the researchers who manage the data set decided to blur them. Russakovsky says the ImageNet team wanted to determine if it would be possible to blur faces in the data set without changing how well it recognizes objects. In a research paper, posted along with the update to ImageNet, the team behind the data set explains that it blurred the faces using Amazon's AI service Rekognition; then, they paid Mechanical Turk workers to confirm selections and adjust them. Blurring the faces did not affect the performance of several object-recognition algorithms trained on ImageNet, the researchers say. In July 2020 Vinay Prabhu, a machine learning scientist at UnifyID and Abeba Birhane, a PhD candidate at University College Dublin in Ireland, published research showing they could identify individuals, including computer science researchers, in the data set. But last week every human face included in ImageNet suddenly disappeared--after the researchers who manage the data set decided to blur them.


Top Features of DALL·E 3

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DALL·E 3 is an impersonation AI art machine. It is a tool for generating images, videos, and digital 4D collages in 8K resolution. It's a transformation engine that can improve to varying degrees any kind of pictures, videos, and texts in digital form through the process of machine learning. DALL-E 2 is controlled by a 3.5-billion-parameter model trained on thousands of pairs of photos and descriptions from the internet. This method lets the model connect visual concepts and texts describing them.


Introducing a Revolutionary Device to Save Civilization from Lies

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Lies are as old as language. We once thought the internet would make us smarter, by providing access to a world of information. But it has weaponized disinformation. We're having an epistemology crisis, many people falling into quicksands of falsehoods, or not knowing what to believe. But imagine having a device you can rely on to sort truth from lies.


The future of work 3 – automation

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In this third part of my series on the future of work, I want to deal with the impact of automation, in particular robots and artificial intelligence (AI) on jobs. I have covered this issue of the relationship between human labour and machines before, including robots and AI. But is there anything new that we can find after the COVID slump? The leading American mainstream expert on the impact of automation on future jobs is Daron Acemoglu, Institute Professor at MIT. In testimony to the US Congress, Acemoglu started by reminding Congress that automation was not a recent phenomenon.


The BUZZ of "Artificial Intelligence and Machine Learning"

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To frame is to make a mental model that enables us to see patterns, predict how things will unfold, and make sense of new situations. Frames guide the decisions we make and the results we attain. Science has long focused on traits like memory and reasoning leaving framing all but ignored. But with computers becoming better at some of those cognitive tasks, framing stands out as a critical function -- and only humans can do it. This book is the first guide to mastering this innate human ability. Many times data is just a huge amount of grass from which we have to see which is needle that will help to build model. AI-ML takes data but is that really useful? Although any particular feature will increase performance but is that really needed?


Is AI Racist?

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When prompting DALLE to visualize good and bad men we are not confronted with strong racial biases as feared and when we search for a terrorist we have no race associated to it. Sigh! Way to gain hope in humanity and the future of AI. I ran a few tests but not enough from a scholar to have a statistically significant outcome. In the case for women, however, the bias does not seem racial as much as it is a status bias. Wealthier women seem to have better luck at passing the AI judgement of goodness while poorer, underdressed women making faces look bad in the lens of AI.



Lessons from the GPT-4Chan Controversy

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On June 3rd of 2022, YouTuber and AI researcher Yannic Kilcher released a video about how he developed an AI model named'GPT-4chan', and then deployed bots to pose as humans on the message board 4chan. GPT-4chan is a large language model, and so is essentially trained to'autocomplete' text -- given some text as input, it predicts what text is likely to follow -- by being optimized to mimic typical patterns of text in a bunch of files. In this case, the model was made by fine-tuning GPT-J with a previously published dataset to mimic the users of 4chan's /pol/ anonymous message board; many of these users frequently express racist, white supremacist, antisemitic, anti-Muslim, misogynist, and anti-LGBT views. The model thus learned to output all sorts of hate speech, leading Yannic to call it "The most horrible model on the internet" and to say this in his video: The video also contains the following: a brief set of disclaimers, some discussion of bots on the internet, a high level explanation of how the model was developed, some other thoughts on how good the model is, and a description of how a number of bots powered by the model were deployed to post on the /pol/ message board anonymously. The bots collectively wrote over 30,000 posts over the span of a few days, with 15,000 being posted over a span of 24 hours. Many users were at first confused, but the frequency of posting all over the message board soon led them to conclude this was a bot.


Using AI to save the lives of mothers and babies

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As part of our SLAS Europe 2022 coverage, we speak to Professor Patricia Maguire from the University College Dublin about their AI_PREMie technology and how it can help to save mothers and babies lives. My name is Patricia Maguire, and I am a professor of biochemistry at University College, Dublin (UCD). Four years ago, I was appointed director of the UCD Institute for Discovery, a major university research institute in UCD, and our focus is cultivating interdisciplinary research. In that role, I first became excited by the possibilities of integrating AI into my research. I think there are two major obstacles to adopting AI in healthcare.