All around us people are slowly (or sometimes quickly) transitioning into the future of work. The full-time job (9 to 5, traditional career, etc.) is about to become a rarity; only available to a select group of people who represent the core of an organization, or who possess a very specific skill set. Because we live in a society increasingly shaped by tech. Automation will take over many of the tasks previously assigned to people. And the youth of today (and tomorrow) will have no problem transitioning into that situation.

Go is an ancient Chinese board game, often viewed as the game computers could never play. Now researchers from Google-owned company DeepMind have proven the naysayers wrong, creating an artificial intelligence - called AlphaGo – which has beaten a professional Go player for the first time. In this Nature Video, we go behind the scenes to learn about the game, the programme and what this means for the future of AI.

If the machines are taking all the jobs, how come so many people are working? The unemployment rate is at 4.9 percent. There are 143.6 million Americans with payroll jobs, a record. The number of first-time unemployment claims (pdf) is down more than 10 percent from last year, and is bumping along at levels not seen since the 1970s. Oh, and the Bureau of Labor Statistics says there are 5.5 million job openings in America, close to a record.

A small step for Google may very soon become a giant step for mankind. An artificially intelligent computer system built by Google has just beaten the world's best human, Lee Sedol of South Korea, at an ancient strategy game called Go. Go originated in Asia about 2,500 years ago and is considered many, many times more complex than chess, which fell to AI back in 1997. Google's programmers didn't explicitly teach AlphaGo – that's what the system is called - to play the game. Instead, they built a sort of model brain called a neural network that learned how to play Go by itself. As it studied a database of about 100,000 human matches, and then continued by playing against itself millions of times, it constantly reprogrammed itself and improved.

They took the NYC Data Science Academy 12-week full-time data science bootcamp program from Sep. 23 to Dec. 18, 2015. The post was based on their fourth in-class project (due after the 8th week of the program). Walmart uses trip type classification to segment its shoppers and their store visits to better improve the shopping experience. Walmart's trip types are created from a combination of existing customer insights and purchase history data. The purpose of the Kaggle competition is to use only the purchase data provided to derive Walmart's classification labels.

Research reveals benefits of integrating machine learning into remote monitoring. Home healthcare software provider AlayaCare and home health provider We Care (part of the CBI Health Group)have released a white paper providing insight into how machine learning/artificial intelligence, when integrated into remote patient monitoring, can reduce hospital readmissions and emergency room visits. According to the study, Better Technology, Better Outcomes: The Effects of Machine Learning Powered Remote Patient Monitoring on Home Health Care, machine learning is a branch of artificial intelligence (AI) based on mathematical algorithms and automation, designed to automate the building of analytical models that use algorithms to learn from data in an iterative fashion. As the machine learns from its mistakes, it can improve its results to produce reliable, repeatable decisions. Machine learning algorithms have already been successfully applied in a range of industries from finance to retail and even healthcare.

DANKO NIKOLIC has spent his life studying human intelligence. Lately, however, he's been thinking about the artificial kind. Just how smart can AI get? Are we really headed towards the so-called technological singularity? That was the topic of a debate in Berlin last month. Nikolic, a neuroscientist at the Max Planck Institute for Brain Research in Frankfurt, stood up in front of an audience of artificial intelligence researchers and made a bold claim: we will never make a machine that is smarter than we are. "You cannot exceed human intelligence, ever," says Nikolic. "You can asymptotically approach it, but you cannot exceed it."

When Google's AlphaGo program beat grandmaster Lee Se-Dol four games to one, both programmers and professional Go players were surprised. The general consensus was that it would be years before a computer could defeat a human at the complex board game, which players describe as requiring elegance and imagination. Director of the MARCS Institute for Brain, Behaviour and Development and electrical engineering professor, Jon Tapson, said AlphaGo's victory was cause for a re-evaluation of how we use artificial intelligence (AI). "They could find ways of manipulating the stock market -- maybe by buying and selling shares in rapid succession to create the illusion of a change in market sentiment," he said. He said unless there was reason to go looking, it was unlikely humans would notice that kind of behaviour, and that it would be difficult to program or regulate the actions of an AI if we do not know how it makes decisions.

Jose Luis Cordeiro is a futurist thinker, the director of the Venezuelan node of the Millennium Project as well as energy advisor and part of the founding faculty of Singularity University (SU). In his speech at this year's START Summit he passionately argued that things like human-level artificial intelligence or physical immortality aren't nearly as far away in the future as most people would think, due to the power of exponential growth patterns observed in Moore's Law and other key areas, and he shared his vision of how technology will change almost every aspect of our lives, including ourselves. His conception of the future is very similar to that of his friend, the author, inventor, director of engineering at Google and co-founder of Singularity University, Ray Kurzweil. Both are radical optimists, both believe in a merger of humans and machines and both don't shy away from controversy. After Cordeiro's keynote I had the chance to do a short interview with him.

What makes the UK such a breeding ground for businesses working with Artificial Intelligence? We asked Alexandre Flamant and John Henderson, Co-founders of the LondonAI meetups, for their thoughts. Last week, a prototype programme from Google DeepMind achieved what many commentators thought would take at least another decade: it won a five match series of the ancient Chinese board game Go against reigning world champion Lee Sedol. In doing so, AlphaGo made a number of'creative' moves that flummoxed Go experts – no human would have ever played in such a way. This is true intelligence, even if currently confined to a specific board game.