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At long last, Welding Twitter gets its moment in the sun

Mashable

Did you know Welding Twitter was a thing? Until recently I did not, but now I can imagine nothing lovelier than looking at a series of good welds. The welders' much-deserved moment in the sun came last Friday. Twitter user @hotmessmaness, whose real name is Kasey, tweeted about the bad (male) welders she sees online. "Guys weld like this and have'welder' in their bio," she wrote.


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#artificialintelligence

Two things can be said about human beings: we like building machines, and we tend to freak out about the machines we build. The Luddites of 19th-century England, an oath-based secret society, looked to the industrial era and saw not liberation but destitution. The most radical among them formed paramilitary groups to raid textile factories and destroy knitting machines and mechanical looms -- devices that would replace workers. Their political descendants include the lamplighters of early-20th-century New York who went on strike to protest the advent of electric streetlights, and the switchboard operators of Bloomington-Normal, Illinois, who in the 1930s took action against the rotary dial system. Did predictions of automation and mass joblessness come true?


Welder generator air compressor combos

#artificialintelligence

A welder generator creates power for welding without reliance on mains electricity. Simply fill up the fuel tank, just as you would for a regular generator, and the welder generator will power your welding equipment wherever you need it. As a result, welder generators have become essential equipment for constructions sites, farms, industry and more. One of the biggest advantages of a welder generator is that it can be used as a stand-alone generator. This saves you space, money and hassle in running two separate machines.


Parallel processor scheduling: formulation as multi-objective linguistic optimization and solution using Perceptual Reasoning based methodology

arXiv.org Artificial Intelligence

In the era of Industry 4.0, the focus is on the minimization of human element and maximizing the automation in almost all the industrial and manufacturing establishments. These establishments contain numerous processing systems, which can execute a number of tasks, in parallel with minimum number of human beings. This parallel execution of tasks is done in accordance to a scheduling policy. However, the minimization of human element beyond a certain point is difficult. In fact, the expertise and experience of a group of humans, called the experts, becomes imminent to design a fruitful scheduling policy. The aim of the scheduling policy is to achieve the optimal value of an objective, like production time, cost, etc. In real-life situations, there are more often than not, multiple objectives in any parallel processing scenario. Furthermore, the experts generally provide their opinions, about various scheduling criteria (pertaining to the scheduling policies) in linguistic terms or words. Word semantics are best modeled using fuzzy sets (FSs). Thus, all these factors have motivated us to model the parallel processing scenario as a multi-objective linguistic optimization problem (MOLOP) and use the novel perceptual reasoning (PR) based methodology for solving it. We have also compared the results of the PR based solution methodology with those obtained from the 2-tuple based solution methodology. PR based solution methodology offers three main advantages viz., it generates unique recommendations, here the linguistic recommendations match a codebook word, and also the word model comes before the word. 2-tuple based solution methodology fails to give all these advantages. Thus, we feel that our work is novel and will provide directions for the future research.


Former Keystone workers still jobless months after project cancellation: 'Nothing out there'

FOX News

Two former Keystone pipeline workers said on Monday that President Biden's decision to ax the project left many workers with nowhere to turn. In an appearance on "Fox & Friends First," Lynn Allen, who was laid off from his Keystone XL Pipeline job in Texas, has not been able to find a job since the project's shutdown. He said he talks to people every day and "there's nothing out there." "You think about it every minute of every day," Allen said, adding his family is "on hold" while he awaits a new job. Retired Keystone pipeline worker Guy Williams said that many people who used to work for him are now out of a job in Texas. There's a lot of welders, pipeline people that live in my general area and a lot of young guys.