Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. I once witnessed a friend going through a severe midlife crisis. Basically overnight, this formerly serious and well-adjusted middle-aged man dumped his wife for a much younger girlfriend, got a face tattoo, and built a full-sized halfpipe in his house. Soon, we were barraged with music recommendations (all stuff he'd listened to in high school and college) and life updates laden with "hip" "slang" ("Despite the age gap, my situationship with Triniteigh is lowkey lit"). It was a transparent--and, from a certain perspective, even sympathetic--response to a universal anxiety: He'd seen that the good times were over, and that only decline lay ahead. But, like all nostalgists, he didn't realize that you can't ever truly go back; you can only go backward. The United States, under President Donald Trump, seems to be undergoing a similar midlife crisis, as this reactionary administration attempts to brute-force the country back to a golden age that many people are realizing either didn't exist in the first place or has been permanently lost to the mists of time and modernization.

It is an issue troubling some of the greatest minds in the world at the moment, from Bill Gates to Elon Musk. SpaceX and Tesla CEO Elon Musk described AI as our'biggest existential threat' and likened its development as'summoning the demon'. He believes super intelligent machines could use humans as pets. Professor Stephen Hawking said it is a'near certainty' that a major technological disaster will threaten humanity in the next 1,000 to 10,000 years.

"It gives you a greater appreciation for everything that we use, how difficult it is to actually use that item fully and appreciate it," said Sam Lai, a physician from Orange County, Calif., after examining the 13-foot-by-13-⅓-foot "Anatomy of an AI System" on a recent visit to MoMA with his wife. Top news and in-depth analysis on the world of logistics, from supply chain to transport and technology. "We have three kids," Dr. Lai said. "It would be cool to be able to show them a picture like this when they're older and try to impress upon them exactly how significant our impact on the world is and how appreciative we should be of the things that we have." MoMA curators thought the piece by Kate Crawford and Vladan Joler would grab visitors, so they built a larger exhibit called Systems around the work, essentially treating the deep operations behind supply chains as art.

There is still considerable discussion about the things artificial intelligence can and cannot do. While there is no doubt that AI can drive the automation of the most mundane tasks in the enterprise and will be able to do a lot more in the future, it is still unclear as to whether it will be possible to replace a good employee. While there are many different characteristics that define a good employee, one of the most important is engagement, or the emotional commitment the employee has to the organization and its goals. This emotional commitment means engaged employees care about their work and their company. So, can an AI driven machine emulate that commitment?

There is still considerable discussion about the things artificial intelligence can and cannot do. While there is no doubt that AI can drive the automation of the most mundane tasks in the enterprise and will be able to do a lot more in the future, it is still unclear as to whether it will be possible to replace a good employee. While there are many different characteristics that define a good employee, one of the most important is engagement, or the emotional commitment the employee has to the organization and its goals. This emotional commitment means engaged employees care about their work and their company. So, can an AI driven machine emulate that commitment?

We are always happy to talk about Italian innovation and research, particularly at a time like this, when creative entrepreneurship can be instrumental in pulling our Country and society at large out of the crisis. Today we are happy to tell you about a young female entrepreneur who is using artificial intelligence to ensure safer working conditions for factory workers, using an algorithm to predict anomalies in the equipment, thus reducing the risk of accidents. Many look with mistrust at artificial intelligence and algorithms, because they feel this kind of technology is too present in our everyday lives or because they are afraid automatisation will take away human jobs. Giulia Baccarin, however, always looked at this matter from a different perspective. Ever since she was a student, she was fascinated by artificial intelligence and, while still at university, she designed a predictive algorithm to be implemented in a high-tech t-shirt, equipped with airbags, to protect elderly people from incidents and falls.

Like it or not, artificial intelligence (AI) is already part of our daily lives. From the smartphones in our pockets to the Alexa virtual assistants on our kitchen counters, AI and its applications are accepted norms today. While we appreciate that AI can automate repetitive workplace tasks or even drive a car, the reality is that its implications are much further reaching. Luminaries like Elon Musk and Bill Gates have spoken out about the potential downsides of AI. At times, they have even issued outright warnings.

Are machines going to replace programmers? Or how software creates other software. I started doing some home baking recently. It started, like with a lot of other people. I started doing some home baking recently.

No one knows the job better than the person who is doing it - that is the idea behind a package of novel ideas designed to make the most of factory workers' knowledge and experience. In Seinajoki, Finland, metal company Prima Power is trialing two of the EU's Factory2Fit project solutions. This €4m study explores new ways for people and machines to work together. Dr Eija Kaasinen from technical research centre VTT says the aim is to put people at the centre and to enable them to participate in designing their own work environment. Globally, automation and robotics are transforming manufacturing as part of the fourth industrial revolution.

Internet of Business's comprehensive guide to where Industry 4.0 will lead manufacturers in the year ahead. Most manufacturers believe they are leading their markets in Industry 4.0 technologies, despite evidence to the contrary. There is a huge gap between the many companies that are exploring digital manufacturing strategies – via technologies such as automation, robotics, AI, and the Internet of Things – and those that are implementing them successfully. With Brexit looming, many manufacturers and solutions providers fear what this will mean for the wider European industrial community, which depends on the free movement of people and confident investment. The UK Budget recently sought to soften this blow by reinforcing the UK's commitment to a strong environment for international scientific collaboration. As part of this investment in R&D, the government will increase the Industrial Strategy Challenge Fund by £1.1 billion, supporting technologies of the future. This includes up to £121 million for the Made Smarter initiative to support the transformation of manufacturing through digitally enabled technologies, such as the Internet of Things and virtual reality.