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Covid killed UBI; Long live guaranteed income

MIT Technology Review

It was December 2020, and she was being invited into a pilot program providing guaranteed income--a direct cash transfer with no strings attached. For Softky, it was a lifeline. "For the first time in a long time, I felt like I could … take a deep breath, start saving, and see myself in the future," she says. The idea of "just giving people money" has been in and out of the news since becoming a favored cause for many high-profile Silicon Valley entrepreneurs, including Twitter's Jack Dorsey, Facebook cofounders Mark Zuckerberg and (separately) Chris Hughes, and Singularity University's Peter Diamandis. They proposed a universal basic income as a solution to the job losses and social conflict that would be wrought by automation and artificial intelligence--the very technologies their own companies create.


The Morning After: Disney reveals a better kind of lightsaber

Engadget

It's amazing that the Star Wars juggernaut (enabled by the Disney industrial complex) has managed to ringfence one entire day each year to peddle new shows, movies, toys and the rest. If you survived yesterday without seeing Gandalf doing the Spock salute with some white text saying May The Fourth Be With You, you're living a better life than me. Sneering aside, I got something out of May 4th -- the briefest glimpse of a'working' lightsaber that extends and retracts a blade of what looks like light. The device definitely looks far more expensive than my double-edged Dark Maul saber from 1999, and there doesn't appear to be a plastic tube in sight. Patents unearthed after Disney showed off the saber suggest the blade is composed of LED-illuminated plastic, bright enough to obscure the fact it isn't actually a laser that could cut a robot in half.


Top Tech Tips to Jumpstart Your Hair Stylist Career - Coruzant Technologies

#artificialintelligence

Robots are not going to cut hair or perform other salon services any time soon. It requires human judgement and intuition and there's a bond of trust that develops between a stylist and their customer. However, technology can still transform a salon by streamlining processes, adding automation, and generating more business. By using technology solutions including various cloud-based platforms, salon owners, managers, and stylists can all benefit by staying busier and developing long-term relationships with loyal customers. As the country starts reopening and decimated salons dive back into business, they'll also need technology to develop competitive advantages as demand for their services grows.


Researchers Warn: AI Algorithms Can Influence People's Voting and Dating Decisions

#artificialintelligence

In a new series of experiments, artificial intelligence (A.I.) algorithms were able to influence people's preferences for fictitious political candidates or potential romantic partners, depending on whether recommendations were explicit or covert. Ujué Agudo and Helena Matute of Universidad de Deusto in Bilbao, Spain, present these findings in the open-access journal PLOS ONE on April 21, 2021. From Facebook to Google search results, many people encounter A.I. algorithms every day. Private companies are conducting extensive research on the data of their users, generating insights into human behavior that are not publicly available. Academic social science research lags behind private research, and public knowledge on how A.I. algorithms might shape people's decisions is lacking. To shed new light, Agudo and Matute conducted a series of experiments that tested the influence of A.I. algorithms in different contexts.


A Comprehensive Guide to Graph Search in Python

#artificialintelligence

A Graph is a data structure consisting of finite number of nodes (or vertices) and edges that connect them. The numbered circles are nodes with the lines connecting them being the edges. A pair (0,1) represents an edge that connects the nodes or vertices 0 and 1. Graphs are used to represent and solve many real life problems. For example, they can represent any network which could be social media like Facebook, LinkedIn etc. or Google maps. In graph search, we traverse or search the graph data structure from node to node. The easiest to understand example would be that of navigation maps like Google Maps.


Computer vision inches towards 'common sense' with Facebook's latest research – TechCrunch

#artificialintelligence

Machine learning is capable of doing all sorts of things as long as you have the data to teach it how. That's not always easy, and researchers are always looking for a way to add a bit of "common sense" to AI so you don't have to show it 500 pictures of a cat before it gets it. Facebook's newest research takes a big step towards reducing the data bottleneck. The company's formidable AI research division has been working on how to advance and scale things like advanced computer vision algorithms for years now, and has made steady progress, generally shared with the rest of the research community. One interesting development Facebook has pursued in particular is what's called "semi-supervised learning."


Top 10 Artificial Intelligence Recruiters in India to Keep an Eye On in 2021

#artificialintelligence

For the past few years, artificial intelligence has become a buzzword in the tech sphere. As more advancements in technology are taking center stage, more companies and people are jumping into the pool of artificial intelligence. With exploding population and high-end experts, India is one of the front-running countries that are striving to streamline artificial intelligence. Because of the country's never-ending efforts, artificial intelligence recruiters and recruiting are also mushrooming. AI recruiters in India, especially, from big companies are seeking talented candidates in machine learning engineering, robotic scientist, data scientist, research analyst, business intelligence developer, etc. Analytics insight has listed the top 10 artificial intelligence recruiters from top-notch companies who could brighten your future.


10 Best Artificial Intelligence Stocks to Buy for 2021

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In this article we will take a look at the 10 best artificial intelligence stocks for 2021. You can skip our detailed analysis of the AI industry's outlook for 2021 and some of the major growth catalysts for AI stocks and go directly to 5 Best Artificial Intelligence Stocks for 2021. Artificial intelligence is a buzzword increasingly being used by companies around the world that seek to project themselves at the forefront of cutting-edge research that promises to transform the lives of humans. As the word loses its meaning, it is important for investors to understand what artificial intelligence is and what companies stand to gain from breakthroughs in the new technology. Market estimates suggest that the artificial intelligence industry will witness a compound annual growth of more than 40% in the first half of this decade. Artificial intelligence, in the simplest words, uses data analytics to perform tasks that would otherwise be performed by humans.


Twitter Updates its Responsible Machine Learning Initiative

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Responsible Machine Learning development is essential to extract positive outcomes from various AI and Machine Learning initiatives. These initiatives empower AI engineers, data scientists and end-users to build, analyze and utilize various AI ML applications ethically. Almost every major technology innovation company evangelizes the importance of Responsible Machine Learning development is essential to extract positive outcomes from various AI and Machine Learning initiatives. One of them is Twitter. Twitter has constantly provided updates on its ongoing AI and Machine Learning projects.


Pinaki Laskar on LinkedIn: #AI #futureofwork #designthinking

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Critical Thinking & Biases, What are the limits to what you can do with AI in your process? Which major or complex decisions can't be taken over by machines in your process? How might you apply critical thought to your machine performance and overcome its potential biases? Considerations & Implications, How might you ensure that your AI is developed in a responsible, safe and reliable manner? How might you address the societal issues that the way you are using AI bring about?