On 17th May, L&T Technology Services announced the development of a smart parking solution working in collaboration with the Intel Corporation. The solution leverages the efficient capabilities of AI and has four key components according to the company. They are an operator portal that hosts user information; a mobile application for end-user interface; a digital signage module to ensure safe and secured access; and a digital camera. All these components are connected through the AWS cloud platform, hence making it easily available and accessible to people. The smart parking solution is powered by the Intel Distribution of the OpenVINO toolkit to run the AI inference model on Intel Xeon scalable processors and Intel Movidius VPUs.

Back in the nineties, my favorite TV show was called Tomorrow's World, a UK-based show which ran for a whopping 38 years on the BBC. It discussed the latest developments in science and technology (just look at this snippet of what the home in 2020 would look like). Back then, the future was extra exciting. Technology would make our lives infinitely easier – we'd be commuting to work in electric, automated cars, and life at home would just be one smooth series of button pushing. The height of this slightly skewed future gazing was my favorite Saturday morning space-age animated sitcom, The Jetsons, which first aired in the 1960s.

A version of this article originally appeared in Issues in Science and Technology. When Americans talk about automation, they tend to ask first how many jobs are at risk--or more broadly, how many jobs will there be, who will do them, and where will they be located. These are the wrong questions. They suggest a policy discussion that starts at the end, focused on mitigating negative impacts. This approach perpetuates a flawed view of how technology develops--one that plagues contemporary debates about the future of work--because it presents technological progress as a process of scientists and engineers applying knowledge and technique to the material world to find a single best way to perform some task.In short, this view of automation sees the consequences of technology for workers (job loss, lower wages, need for retraining, and the like) as largely inevitable.

Modern car design is a complex field. No longer is it a question of sculpting advanced surfaces and forming beautiful shapes. The focus now is increasingly on the customer journey - directly our every move even before we pick up the car keys. So it comes with little surprise that creative thinkers are playing a bigger role in user experience - or UX - design and helping to shape its future direction. Designed by Pininfarina, it demonstrates the skills of the famed Italian design consultancy, who is responsible for some of design history's most exotic motor cars, in providing a unique, personalized, intuitive and immersive in-car consumer experience in the new age of the automobile.

Robots are growing and impacting the way society, economy and the world are organized. Areas with the lowest income, usually rural regions, are more vulnerable to the progress of automation. The permanent loss of jobs will be softened by new jobs that'll be created and demand new skills from people. Automation is likely to increase economic growth and boost productivity but it'll also increase inequality among the globe and drastically change it. When should we start preparing for these changes?

AI Architect – Responsible for working out where AI can help a business, measuring performance and--crucially-- "sustaining the AI model over time." Lack of architects "is a big reason why companies cannot successfully sustain AI initiatives," KMPG notes. AI Product Manager – Liaises between teams, making sure ideas can be implemented, especially at scale. Works closely with architects, and with human resources departments to make sure humans and machines can all work effectively. Data Scientist – Manages the huge amounts of available data and designs algorithms to make it meaningful.

Sun 21 Jan 2018 12.37 EST Last modified on Sun 21 Jan 2018 17.00 EST Journalism is largely collaboration: reporters with sources, writers and editors, lawyers advising publishers, producers with distributors, and audiences feeding back their knowledge. Rapid development of artificial intelligence means journalists are likely to collaborate more and more with machines that think. The word itself, machines, feels so industrial era, but "robots" feels too limited. Humans are busy building brains, if not yet minds. So my shorthand for now is AI.

Last week, Facebook announced it would hire 3,000 workers to monitor content streamed and posted on the vast social network. These legions of new staffers will augment the existing team members who keep an eye on the site, and they are expected to respond more quickly to requests to take down offensive postings than the site has been able to in the past. "If we're going to build a safe community, we need to respond quickly," Facebook CEO Mark Zuckerberg said in (where else?) a Facebook post. "We're working to make these videos easier to report so we can take the right action sooner -- whether that's responding quickly when someone needs help or taking a post down." Think about that for a second.