I recently stumbled across an old Data Science Stack Exchange answer of mine on the topic of the "Best Python library for neural networks", and it struck me how much the Python deep learning ecosystem has evolved over the course of the past 2.5 years. The library I recommended in July 2014,, is no longer actively developed or maintained, but a whole host of deep learning libraries have sprung up to take its place. Each has its own strengths and weaknesses. We've used most of the technologies on this list in production or development at indico, but for the few that we haven't, I'll pull from the experiences of others to help give a clear, comprehensive picture of the Python deep learning ecosystem of 2017. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.

From helping you take care of email to creating personalized online shopping experiences, AI promises to transform the way we live and work. But with all the hype out there, how do we know which benefits we'll actually see? What is the top benefit you predict emerging from AI, and do you think the overall benefits will live up to the hype? The greatest benefit of AI -- which is already emerging -- is the elimination of repetitive tasks. From chat bots that can free up human staffers' times to work on more complex issues, to scheduling AIs like x.ai that eliminate the need to schedule meetings, AI will ultimately help humans spend more time focusing on creative and high-mental-effort activities.

Providing a great customer experience is vital for airlines trying to attract passengers. Here's how the technology of tomorrow will help them do just that. Working for a global organisation, I often have to travel to meet customers or attend events. Whilst many of those physical meetings have been replaced by virtual ones, sometimes it's still necessary to get on a plane. Travel used to be a frustrating task, but competition between the airlines together with the increasing demands of customers are revolutionising the industry.

The British Artificial Intelligence (AI) company DeepMind Technologies, a subsidiary of Google, recently revealed it will be utilizing a blockchain technology. The firm will use a distributed ledger application to better secure patient data. DeepMind is a software firm that builds algorithms for simulations, applications, and gaming protocols. The company is well known for creating a machine learning platform that learns how to play video games. DeepMind has also built a Neural Turing Machine which mimics a human's short-term memory.

Artificial intelligence (AI) is fast becoming an indispensable marketing tool. Equipped with immense computing power, AI empowers marketers to sort through and analyze vast amounts of customer data housed in companies' point of sale, CRM and loyalty systems – and even external sources such as consumers' social media accounts – to better understand, connect with and engage customers. In fact, a recent survey by Weber Shandwick found that 55 percent of CMOs expect AI to have an even greater impact on marketing than social media has. AI allows marketers to gain valuable insight into their current and prospective customers, suggest offers and promotions that are uniquely relevant to each customer's preferences and behaviors and improve the overall customer journey – helping to increase conversions, close sales faster and build loyal customers. While marketers understand that AI can help them more quickly identify consumers' wants and needs at the individual level, many still have major misconceptions about the implementation and role of AI in their organizations.

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Advancement in computers and technology have been incredibly positive for music creators around the globe. You can learn how to produce music on YouTube, purchase the same sample libraries as your favorite composers and create xustpic scores from your laptop, anywhere in the world. As a result, there are more music producers than ever. Computers helping humans create original music has become today's standard, but there are several companies looking to turn the tables on this process. Computer-generated songs are a fast-growing sector of the industry, looking to disrupt creation, licensing and access for musicians and non-musicians alike.

As artificial intelligence takes over the more mundane and data-crunching tasks inherent in marketing, experts see creativity and strategic vision as two areas where human expertise will continue to be in-demand regardless of how prevalent the technology becomes. Early adopters can benefit from deep AI-driven insights, but, at some point, the tech is likely to offer less of a competitive advantage as it saturates the market. Marketers worried about being replaced by a machine can get ahead right now by figuring out how their current job function integrates with AI. Looking toward the future, it will be important for marketers to build their personal expertise in the skills that AI technology will not be able to replicate as easily. "AI is fantastic at certain things, especially forecasting, automation, segmentation and optimization," Michael Godwin, creative director at artificial intelligence startup Noodle.ai,

Masayoshi Son, chief executive of SoftBank Group Corp., believes that within 30 years, artificial intelligence will be smarter than the human brain. The Wall Street Journal reports that Son made the prediction at Mobile World Congress, the telecom industry's biggest trade show, which is currently being held in Barcelona, Spain. Not only does Son think that super smart robots will outnumber humans in 30 years, but more than a trillion objects will be connected to the internet. "That is why I'm in a hurry to aggregate cash to invest," he said. SoftBank has made quite a few recent deals, including purchasing British microprocessor designer ARM Holdings PLC for $32 billion, as well as U.S. asset manager Fortress Investment Group PLC for $3.3 billion. Son plans to ramp up the research-and-development funding for ARM, which designs the basic architecture for chips in more than 95 percent of smartphones around the world.

Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving". As machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition. For example, optical character recognition is no longer perceived as an exemplar of "artificial intelligence", having become a routine technology.