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Pokémon and the First Wave of Digital Nostalgia

The New Yorker

A year ago, Marcus Dewdney, an artist in Toronto, started a project inspired by Pokémon, the beloved series of monster-collecting video games that launched on Game Boy in the United States in 1998. He pulled up images from the 2001 games Pokémon Gold and Silver and, using the image editor paint.net, Scant grids of symbolic leaves from the original game became swirls of gnarled trees; straight lines meant to suggest cliffs became craggy, precipitous rock faces. This past March, Dewdney and several other artists completed the entire map of Gold and Silver--which can be explored screen by screen on a dedicated Web site. Now the group is working on overhauling the original Pokémon games, Red and Blue. Viewers of Dewdney's images often comment, "This is how I saw it in my head as a kid," he told me.


Best smart sprinkler system controllers 2021: Rachio, Rainmachine, Wyze and more

ZDNet

We're well past the early stages of tech companies trying to connect every device inside our homes to the internet, converting "dumb" items into smart home products, and while you may not want a connected microwave, one item you should seriously consider is a smart sprinkler system controller. By connecting your sprinkler system to the internet, not only can you create schedules or turn it on/off directly from your phone, but some systems will automatically create watering schedules based on your climate, weather forecast and based on which parts of your yard get more or less shade during the day. Below we've rounded up four different sprinkler controllers, each with a unique approach to streamlining keeping your yard or garden lush and green. Zones: 8 or 16 Smart home support: Apple HomeKit, Amazon Alexa, Google Assistant, IFTTT, Wink, Control4 and Nexia Outdoor enclosure: $30 on Amazon Supported weather services: National weather stations, 270,000 personal weather stations, etc. are used for Rachio's Weather Intelligence Plus service Rachio's sprinkler controllers are arguably the most popular, or at least the most commonly recommended, and for good reason. They're easy to set up and install (as are most sprinkler controllers), but also offer wide support for smart home platforms and leverage multiple weather sources for the company's own Weather Intelligence Plus service.


Python Regression Analysis: Statistics & Machine Learning

#artificialintelligence

This hands-on, regression-analysis bootcamp will help you master practical statistical modeling and machine learning in Python. Regression analysis is one of the central aspects of both statistical and machine learning based analysis. This course will teach you regression analysis for both statistical data analysis and machine learning in Python in a practical hands-on manner. It explores the relevant concepts in a practical manner from basic to expert level. This course can help you achieve better grades, give you new analysis tools for your academic career, implement your knowledge in a work setting & make business forecasting related decisions...All of this while exploring the wisdom of an Oxford and Cambridge educated researcher. Most statistics and machine learning courses and books only touch upon the basic aspects of regression analysis.


AI, Automation Predictions for 2022: More Big Changes Ahead

#artificialintelligence

Just when you thought it was safe to go back to normal -- are you ready for round two? "There are big changes ahead," says Forrester VP Brandon Purcell. "There are a lot of changes that have been brought about by what happened over the last 2 years. The pace of change is very rapid. There are pretty big things happening." Purcell spoke with InformationWeek about the predictions for AI in 2022 and beyond.


AI Can Visualize Thoughts

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What if your thoughts can be visualized in the screen front of you? The answer is yes.., Tomoyasu et al managed to persuade the global expectations . The evolution in the field of Artificial Intelligence never fails to amaze us, One day the technology becomes so advanced that it connects our brains with projectors and enables us to share real-time thoughts. The possibilities with AI have no boundaries, and more advancement in artificial intelligence opens new communication doors. Tomoyasu Horikawa et al., researched Machine learning-based analysis of human functional magnetic resonance imaging (fMRI) which paves the visualization of perceptual contents.


10 Popular Machine Learning Algorithms In A Nutshell

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Hierarchical clustering means creating a tree of clusters by iteratively grouping or separating data points. There are two types of hierarchical clustering named Agglomerative clustering and Divisive clustering. Agglomerative clustering is the bottom-up approach. It merges the two points that are the most similar until all points have been merged into a single cluster. Divisive clustering is the top-down approach.


Nota raises $14.7M to adapt biometrics, AI models for edge applications

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Nota, which provides technology to optimize AI models, announced that it has closed a $14.7 million Series B funding round. The company's technology is another important piece of the puzzle when it comes to helping resource-constrained edge devices run applications such as biometric identification. Participants in the funding round included Stonebridge Ventures, LB Investment, DS Asset, Intervest, and Company K Partners. The fresh funding comes roughly a year after Nota closed its Series A round with $6.7 million. Nota has raised a total of $23 million to date.


When Amazon came to town: Swindon feels strain as new depot sucks up jobs

The Guardian

Black boxes rattle along miles of conveyor belt, carrying everything from toys to painkillers amid a cacophony of alarms and the faint hum of Christmas songs. "I'm looking around here at anything that might not be right, but it's actually running very smoothly," says David Tindal, the general manager of the Swindon fulfilment centre. "The team has been fantastic. We spend the whole year preparing for this peak time, like a good football club preparing for the cup final." Known internally as BRS2 – using a naming system based on the nearest big airport (in this case, Bristol) – the warehouse is a vision in gleaming concrete, steel and glass landed on the Wiltshire countryside.


Paper explained: DINO -- Emerging Properties in Self-Supervised Vision Transformers

#artificialintelligence

In this story, I would love to give you a a good idea of how the DINO paper works and what makes it great. I've tried to keep the article simple so that even readers with little prior knowledge can follow along. Traditionally, Vision Transformers (ViT) have not been as attractive as some would expect: They have high computational demands, need more training data, and their features do not exhibit unique properties. With their 2020 paper, "Emerging Properties in Self-Supervised Vision Transformers", Caron et al. aimed to examine why supervised ViT have not yet taken off and if that could be changed by applying self-supervised learning methods to them. This meant that a human would have to create labels for the training data like telling the model that there is a dog in the image.


NEW AUTONOMOUS SHUTTLE BUS COLLABORATION BETWEEN SENSIBLE 4 OY AND MOOVE GMBH - Sensible 4

#artificialintelligence

MOOVE GmbH was founded in 2018 on the RWTH Aachen Campus. MOOVE develops sustainable, electric and ultimately driverless commercial vehicles. With the industrialized, purpose designed light commercial vehicle platform, MOOVE strives for an emission-free delivery and passenger service ecosystem by reducing emissions and noise in cities. The company's first vehicles, PeopleMover and CargoMover, will be built in disruptive micro factories, which will focus on sustainability, energy efficiency and minimizing environmental impact by eliminating traditional manufacturing processes, such as pressing and painting.