Google wants to do more than just organize the world's information. It wants to infuse itself into our lives and replace several of our daily tasks robotically. That, clearly, is the goal, as outlined this week. Forget about those shiny new Pixel phones, tablets and speakers that Google announced this week at a splashy event in New York. Or a new talking video speaker that takes on Amazon's Echo Show with a focus on Google visuals like mapping, calendar, and, of course, all that YouTube content.

Does artificial intelligence have the ability to take over the world? Some prominent scientists and tech industry leaders, including the late astrophysicist Stephen Hawking, Tesla CEO Elon Musk and Google research director Peter Norvig, have issued dire warnings about AI's potential threat to the human race, calling for ongoing research into its social implications. Others haven't been as quick or believe that to be the case. In particular, Microsoft founder Bill Gates and Facebook CEO Mark Zuckerberg have taken issue with this outlook, emphasizing the positive benefits of AI and cautioning against alarmist panic. Whoever turns out to be right in this debate, one indisputable fact remain: AI has already become part of our everyday lives in ways we often don't consciously recognize.

Magic Leap introduced a concept called Mica and called it "her" during a section of its 3-hour keynote this week about how an artificial intelligence …

The next time you sit down to watch a movie, the algorithm behind your streaming service might recommend a blockbuster that was written by AI, performed by robots, and animated and rendered by a deep learning algorithm. An AI algorithm may have even read the script and suggested the studio buy the rights. It's easy to think that technology like algorithms and robots will make the film industry go the way of the factory worker and the customer service rep, and argue that artistic filmmaking is in its death throes. For the film industry, the same narrative doesn't apply -- artificial intelligence seems to have enhanced Hollywood's creativity, not squelched it. It's true that some jobs and tasks are being rendered obsolete now that computers can do them better. The job requirements for a visual effects artist are no longer owning a beret and being good at painting backdrops; the industry now calls for engineers who are good at training deep learning algorithms to do the mundane work, like manually smoothing out an effect or making a digital character look realistic.

Today the new fuss in the technology world is about artificial intelligence and how it will change the world, and the wealth management business. First let's clear up some of the confusion around nomenclature. Artificial intelligence is the concept that machines think and process new ideas by themselves, like the sentient computer Hal in the movie "2001: A Space Odyssey." Machine learning is the process by which machines are coded to adapt their programming based on new data and data analytics; think self-driving cars and Google's targeted "smart" ads that intuit what you might be interested in based on the sites you've visited. While we are still quite far from AI and a machine making up its own mind, we can't ignore the impact that smart programs powered by machine learning are making on the world.

As robotics technologies have advanced significantly in the past few years, robots for enterprise markets are becoming more affordable, productive, and smarter than ever before. According to a new report from Tractica, this trend is resulting in a significant increase in the number of enterprises within the agriculture, construction, warehousing and logistics, telepresence, customer service, and other sectors willing to invest in robots to cut costs and increase profits, while trusting robots to solve business challenges and productivity gaps. Tractica forecasts that worldwide shipments of enterprise robots will grow from approximately 83,000 units in 2016 to 1.2 million units annually by 2022, increasing at a compound annual growth rate (CAGR) of 57% during that period. Global revenue for the enterprise robotics market will increase from $5.9 billion in 2016 to $67.9 billion in 2022. "Just as robotics has transformed manufacturing and heavy industry in recent years, robots are beginning to impact enterprise work processes, with innovative and effective solutions being introduced with increased frequency," says research analyst Manoj Sahi.

Technology companies need to diversify their hiring practices to include more people from backgrounds in philosophy and psychology if they want to tackle the problem of misinformation online, the head of one of the biggest internet charities has warned. Mitchell Baker, head of the Mozilla Foundation, has warned that hiring employees who mainly come from Stem – science, technology, engineering and maths – will produce a new generation of technologists with the same blindspots as those who are currently in charge, a move that will "come back to bite us". "Stem is a necessity, and educating more people in Stem topics clearly critical," Baker told the Guardian. "Every student of today needs some higher level of literacy across the Stem bases. "But one thing that's happened in 2018 is that we've looked at the platforms, and the thinking behind the platforms, and the lack of focus on impact or result.

People have been dreaming about Artificial Intelligence for hundreds, if not thousands of years. Well, it's starting to feel like the future is actually here, and AI can be seen almost everyone nowadays. So how should you feel about it? Here are 42 facts about the past, present and future of artificial intelligence to help you decide for yourself. In Ancient Greek mythology, the blacksmith god Hephaestus was believed to have built what were essentially robots. His "automatons," as they were called, were crafted from metal and designed to perform different tasks for him or other gods. They took many forms, including men, women, eagles, and horses.

Data-gathering robots are undermining Netflix's creative content. Currently, the US company relies on algorithms to suggest whether new programmes would be popular with subscribers. Netflix carefully curates the lists based on in-app ratings, viewer demographics and the viewing history of its estimated 130 million paying subscribers. The BBC still green-lights its shows based on creative instinct, an approach which Ms Moore insists is superior. 'So much of what's driving the rapid change in our industry is about technology, not creativity,' she said.