Designing a good artificial intelligence is hard. For a company like Google, which relies heavily on AI, designing the best possible AI software is crucial. And who better to design an AI than another AI? If you said "literally anyone else" you might be right, but folks at Google's AI research lab, Google Brain, would disagree. The lab is reportedly building AI software that can build more AI software, with the goal of making future AI cheaper and easier. Currently, building a powerful AI is hard work.

AI will destroy jobs, robots will replace humans … That's what we often hear when we talk about the evolution of AI and the rise of robots. But what if Artificial Intelligence could actually boost the economy? We recently conducted a study with Censuswide and asked around 1000 British citizens how they felt about AI and its impact on the automation of their calendar management tasks. One interesting thing to notice is that 47% of professionals in the UK would be interested in using Artificial Intelligence powered assistants to gain time. And how would they spend the time they saved?

Google plans to bring its artificial intelligence, machine learning and all its other developer tools to the small computer. Google has announced its partnership with Raspberry Pi to develop a range of smart tools that will made available in 2017. The company plans to bring its artificial intelligence, machine learning and all its other developer tools to the small computer. In a blog post, Raspberry Pi said: "The tech titan has exciting plans for the maker community… Google's range of AI and machine learning technology could enable makers to build even more powerful projects." With the help of Raspberry Pi makers, suggestions of ideas will be given to Google for development direction through the creation of a survey.

Familiarize yourself with the AI technologies available today and prepare for adoption -- or face the inevitability of disruption. These days it seems like you can't open a newspaper (OK, web browser) without coming across an article on artificial intelligence (AI). Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them. Publicized breakthroughs -- like Google AlphaGo's unprecedented victories over human Go champions -- have heralded the promise of a new golden age for AI.

Enterprise cloud usage has been in the forefront of big players for the past few years. Amazon, IBM, Google and Microsoft are expanding their offerings to serve better the enterprise users and their needs. Google announced a set of machine learning based services focused on enterprise users. Similar to upcoming Amazon EC2's Elastic GPUs and Microsoft's Azure N-Series, powered by NVidia GPUs, Google will soon offer cloud based GPUs with per minute billing focused on Machine Learning tasks. Google slashed pricing for its Cloud Vision API to 1/5, offering face, label, OCR, company logos, explicit content and landmark and image properties recognition through off the shelf algorithms and their API.

Throughout history, whenever a new technology emerged, the fear that people would be replaced by that technology became a concern. Now the fear is artificial intelligence (AI) will replace humans in the workplace, with everything from warehouse robots to self-driving cabs. "Advances in artificial intelligence will lead to job losses, but new forms of employment will take their place," said IBM CEO Ginni Rometty on a World Economic Forum panel in Davos, Switzerland. Fears over the impact of AI were a central theme of the panel, run by Vista Equity Partners founder Robert F. Smith. In addition to Ms. Rometty, the panel featured Microsoft CEO Satya Nadella, MIT Media Lab Director Joi Ito and HealthTap CEO Ron Gutman.

Few technologies have the transformative potential to reshape how we live, move, and work. Electricity and the Internet were two technologies that fundamentally transformed life in the 20th century. Artificial intelligence (AI) is the 21st century equivalent of electricity and the Internet. AI is expected to bring massive shifts in how people perceive and interact with technology, with machines performing a wider range of tasks, in many cases doing a better job than humans. AI, in its simplest definition, is an umbrella term for technologies that are inspired by biological systems, giving computers human-like abilities related to seeing, reasoning, hearing, and learning.

Banks around the world are being confronted with a record number of regulations, and those falling short of institutional obligations are paying a high price for their errors. In response, major financial institutions are grasping big data solutions in a bid to comply with often dense regulations and reduce regulatory breaches. "Considering many banks have grown organically, often via merger and acquisition, their data is not always consistent and well organised," according to James Arnett, a partner at business and technology consulting firm Capco. Mr Arnett believes that new tools can be created through the application of data analytics, which will transform banks compliance programmes from manual, non-scalable projects into lower-cost and automated processes. "There is a real opportunity for banking clients to embrace data analytics to answer the underlying theme of regulation strategically rather than to treat each regulation as a'tick-the-box' exercise," he says.

Now is the time where the perfect combination for the development of AI was made. This is the perfect time for AI growth. Perhaps many of us have heard the subject of artificial intelligence as a top trend for 2017. The AI will play an important role as part of the next great movement that automates processes and decision-making in all industries. Here is some context: In 2016, the White House recognized the importance of AI at its Frontiers Conference. The concept of driverless cars became a reality, with Uber's self-driving fleet in Pittsburgh and Tesla's new models equipped with the hardware for full autonomy.

As Friday night became Saturday morning, Dong Kim sounded defeated. Kim is a high-stakes poker player who specializes in no-limit Texas Hold'Em. The 28-year-old Korean-American typically matches wits with other top players on high-stakes internet sites or at the big Las Vegas casinos. But this month, he's in Pittsburgh, playing poker against an artificially intelligent machine designed by two computer scientists at Carnegie Mellon. No computer has ever beaten the top players at no-limit Texas Hold'Em, a particularly complex game of cards that serves as the main event at the World Series of Poker. Nearly two years ago, Kim was among the players who defeated an earlier incarnation of the AI at the same casino.