The West Japan Rail Company, also known as JR West, has unveiled its giant worker robot that can be tasked to carry out jobs that are considered risky for humans, New Atlas reported.
【News Release】 生産性・安全性向上に向けて、株式会社人機一体および日本信号株式会社と共同で、人型重機ロボットと鉄道工事用車両を融合させた多機能鉄道重機を開発しています。
詳しくはこちらをご覧ください。 https://www.westjr.co.jp/press/article/items/220415_01_robot.pdf pic.twitter.com/FBVjIe1xCC — JR西日本ニュース【公式】 (@news_jrwest) April 15, 2022
Just as car created job for drivers, computer created job for data entry operator.robots will also create new types of high paying jobs.
For decades, the arrival of robots in the workplace has been a source of public anxiety over fears that they will replace workers and create unemployment.
Now that more sophisticated and humanoid robots are actually emerging, the picture is changing, with some seeing robots as promising teammates rather than unwelcome competitors.
‘Cobot’ colleagues
Take Italian industrial-automation company Comau. It has developed a robot that can collaborate with – and enhance the safety of – workers in strict cleanroom settings in the pharmaceutical, cosmetics, electronics, food and beverage industries. The innovation is known as a “collaborative robot”, or “cobot”.
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New Zealand-based agritech company Robotics Plus has launched an autonomous multi-use, modular vehicle for agriculture that could revolutionize the industry by alleviating ongoing labor shortages and simplifying agricultural tasks, according to a press release by the firm published on Thursday.
Optimizing tasks
The robot can be supervised in a fleet of vehicles by a single human operator, using a combination of vision systems and other technologies to sense its environment. This empowers it to optimize tasks and allow intelligent and targeted application of inputs such as sprays. It is suitable for a variety of jobs including spraying, weed control, mulching, mowing and crop analysis.
Occupation-related stress and work characteristics are possible determinants of social inequalities in epigenetic aging but have been little investigated. Here, we investigate the association of several work characteristics with epigenetic age acceleration (AA) biomarkers.
The study population included employed and unemployed men and women (n = 631) from the UK Understanding Society study. We evaluated the association of employment and work characteristics related to job type, job stability; job schedule; autonomy and influence at work; occupational physical activity; and feelings regarding the job with four epigenetic age acceleration biomarkers (Hannum, Horvath, PhenoAge, GrimAge) and pace of aging (DunedinPoAm, DunedinPACE).
We fitted linear regression models, unadjusted and adjusted for established risk factors, and found the following associations for unemployment (years of acceleration): HorvathAA (1.51, 95% CI 0.08, 2.95), GrimAgeAA (1.53, 95% CI 0.16, 2.90) and 3.21 years for PhenoAA (95% CI 0.89, 5.33). Job insecurity increased PhenoAA (1.83, 95% CI 0.003, 3.67), while working at night was associated with an increase of 2.12 years in GrimAgeAA (95% CI 0.69, 3.55). We found effects of unemployment to be stronger in men and effects of night shift work to be stronger in women.
DeepMind has created an AI capable of writing code to solve arbitrary problems posed to it, as proven by participating in a coding challenge and placing — well, somewhere in the middle. It won’t be taking any software engineers’ jobs just yet, but it’s promising and may help automate basic tasks.
The team at DeepMind, a subsidiary of Alphabet, is aiming to create intelligence in as many forms as it can, and of course these days the task to which many of our great minds are bent is coding. Code is a fusion of language, logic and problem-solving that is both a natural fit for a computer’s capabilities and a tough one to crack.
Of course it isn’t the first to attempt something like this: OpenAI has its own Codex natural-language coding project, and it powers both GitHub Copilot and a test from Microsoft to let GPT-3 finish your lines.