The recruitment website is jazzy, awash with pictures of happy young workers, and festooned with upbeat mini-slogans such as insane speed, infinite curiosity and customer obsession. Read a bit lower, and there are promises of perks galore: competitive compensation, free meals, free gym membership, free health and dental care and so on. But then comes the catch. Each job ad contains a warning: Please don't join if you're not excited about working ~70 hrs/week in person with some of the most ambitious people in NYC. The website belongs to Rilla, a New York-based tech business which sells AI-based systems that allow employers to monitor sales representatives when they are out and about, interacting with clients. The company has become something of a poster child for a fast-paced workplace culture known as 996, also sometimes referred to as hustle culture or grindcore.

Comparisons between Kogonada's new film, "After Yang," and his earlier one, "Columbus," are inevitable, and their differences obscure the big idea that unites them. "After Yang" is a science-fiction film, set in a vague future time at an unspecified place, seemingly in the United States; its title character is an android, or "technosapien." "Columbus," his first feature, from 2017, is set in its own present day, in the real-life city of Columbus, Indiana, and centered on a young woman played by Haley Lu Richardson. "After Yang" is a synthetic work of dystopian imagination, and "Columbus" is a carefully realistic view of its place and time. Nonetheless, the two films are propelled by the same impulse: the artistic basis of mental life, the politics of aesthetics.

Artificial intelligence already is part of our everyday lives: in our web searches, in our interactions with digital assistants, and even helping us decide what movies and TV shows to watch. "Not only will it be in the fabric of the future of work, but it's going to be in the fabric of solutions to the future of work as well," Vietas said during a webinar hosted by the agency in June. Some of the benefits AI is providing to the safety field: deeper insights, continuous observations and real-time alerts to help employees avoid unsafe situations and organizations respond to incidents quicker. Experts say making use of AI requires collaborative efforts between safety professionals and other departments, namely information technology, to ensure transparency as well as alleviate privacy concerns and other issues workers may have. "Our recommendation is, basically, try to understand AI and try to see how it can work for you," said Houshang Darabi, a professor at the University of Illinois Chicago and co-director of the occupational safety program at the school's Great Lakes Center for Occupational Health and Safety.

"What good is an ML model if it isn't fast? Having machine learning in a company's portfolio used to be an investor magnet. Now, the market is bullish on MLaaS, with a new breed of companies offering machine learning services (libraries/APIs/frameworks) to help other companies get their job done better and faster. According to PwC, AI's potential global economic impact will be worth $15.7 trillion by 2030. And, as interests slowly shift towards MLOps, it is possible that these companies, which promise to scale and accelerate ML deployment, might grab a bigger piece of the pie. Last week, OctoML raised $28 million. The Seattle-based startup offers a machine learning acceleration platform built on top of the open-source Apache TVM compiler framework project. The $28 million Series B funding brings the company's total funding to $47 million. For OctoML's CEO, Luis Ceze, there is still a significant gap between building a model and making it production-ready. Between rapidly evolving ML models, wrote Ceze in a blog post, ML frameworks and a Cambrian explosion of hardware backends makes ML deployment challenging. "It is not easy to make sure your model runs fast enough and to benchmark it across different deployment hardware.

By establishing a LCA model for incucing slow, sleep wave, the neural networks would help in efficient working. Just like Human Beings, continuous work can render any object, instrument and system to lose its focus, while performing the task. It not only makes them disoriented; incapable to deliver the desired results, but long hours of work without any residue of rest can also affect their performance. As a result, the tasks which can be accomplished in short duration of time, would require long hours of slogging with a compromise over the quality of work. Artificial Intelligence, is no different for facing this challenge.

By establishing a LCA model for incucing slow, sleep wave, the neural networks would help in efficient working. Just like Human Beings, continuous work can render any object, instrument and system to lose its focus, while performing the task. It not only makes them disoriented; incapable to deliver the desired results, but long hours of work without any residue of rest can also affect their performance. As a result, the tasks which can be accomplished in short duration of time, would require long hours of slogging with a compromise over the quality of work. Artificial Intelligence, is no different for facing this challenge. It has been observed by the researchers at Los Alamos University observed that continuous period of unsupervised learning renders the neural networks to become unstable.

The Internet of Things has caused many industries to evolve – but few more than transportation. Here are just a few ways it's changed the delivery of goods. Remember when websites like eBay and Amazon were in their infancy? When the best estimate a retailer could give on when a product would be back in stock was "sometime in the next week or two?" When truckers suffered numerous health issues because of unreasonably long hours? It's strange how much things have changed, looking back.

Tesla CEO Elon Musk has received a lot of praise lately with advancements of his SpaceX projects along with his Boring Company tunnel machine, but a new report could cloud his reputation. According to the Guardian, worker conditions at Tesla factories are so bad people have reportedly passed out to meet production demands, while others received life-changing injuries. Workers experiencing fainting spells, dizziness, seizures, abnormal breathing and chest pains led to more than 100 calls to ambulances since 2014, while hundreds more were called for injuries and other cases, incident records obtained by the news outlet show. Read: Electric Sled, Earthquakes and Snails: Here Are New Details About Elon Musk's Tunnel Boring Company Pressure on employees, who work alongside giant red robots, shows the lengths Tesla is going to in order to meet CEO Elon Musk's aggressive production goals. "I've seen people pass out, hit the floor like a pancake and smash their face open," Jonathan Galescu, a production technician at Tesla, told the Guardian.

When Tesla bought a decommissioned car factory in Fremont, California, Elon Musk transformed the old-fashioned, unionized plant into a much-vaunted "factory of the future", where giant robots named after X-Men shape and fold sheets of metal inside a gleaming white mecca of advanced manufacturing. The appetite for Musk's electric cars, and his promise to disrupt the carbon-reliant automobile industry, has helped Tesla's value exceed that of both Ford and, briefly, General Motors (GM). But some of the human workers who share the factory with their robotic counterparts complain of grueling work pressure they attribute to Musk's aggressive production goals, and sometimes life-changing injuries. Ambulances have been called more than 100 times since 2014 for workers experiencing fainting spells, dizziness, seizures, abnormal breathing and chest pains, according to incident reports obtained by the Guardian. Hundreds more were called for injuries and other medical issues. In a phone interview about the conditions at the factory, which employs some 10,000 workers, the Tesla CEO conceded his workers had been "having a hard time, working long hours, and on hard jobs", but said he cared deeply about their health and wellbeing.