Nuance predicts what's in store for Artificial Intelligence in the enterprise in 2019.

Our world has been fundamentally transformed by digital technology. What began with the mainframe and early supercomputers being used to solve isolated, complex functions, has since evolved to solve modern data-driven needs. Challenges that requires a new way of computing that is virtually instantaneous and intelligent, secure, and built for today's "edge to cloud" requirements. Today, digital transformation is creating countless possibilities in a world where everything computes and where everyone and billions of connected "things" – devices, cars and homes, workplaces, stadiums, hospitals, and factory floors – shares data. It's a world where machine learning and artificial intelligence can help companies make decisions automatically and autonomously. The explosion of connected things creates a wealth of new mobile and IoT-based services and capabilities from edge to the cloud and across the enterprise.

One could be forgiven for thinking that machines are creative. Numerous artificial intelligence projects appear to demonstrate that machines are capable of creating intricate works of art that rival those created by their inferior human creators. Just recently, IBM Watson created a movie trailer for the horror film Morgan (IBM). Google's DeepDream AI fascinated the world with its eerie superimpositions of eyeballs, cats, birds, and iguanas onto everyday images in a seemingly creative way. The image below was transformed with this very net.

With new ideas innovation continuing to drive Cambridge's businesses, Stephen Hodsdon – a partner, patent and trade mark attorney in the Cambridge office of J A Kemp – considers what engineering and IT fields may lead the way in 2019. It is a well-known statistic that Cambridge produces significantly more patent applications per head than any other area of the UK and this shows little sign of decreasing. As a patent attorney, this is of course unsurprising, but it doesn't happen by accident. The diversity of Cambridge-based innovation makes it hard to pick even a selection of sectors which will lead the way in 2018. However, gazing into my crystal ball (sadly neither real nor, as far as I can determine, a Cambridge invention), here are a few thoughts on the areas that could drive 2019's innovation output.

Abstract: The wavelet scattering transform is an invariant signal representation suitable for many signal processing and machine learning applications. We present the Kymatio software package, an easy-to-use, high- performance Python implementation of the scattering transform in 1D, 2D, and 3D that is compatible with modern deep learning frameworks. All transforms may be executed on a GPU (in addition to CPU), offering a considerable speed up over CPU implementations. The package also has a small memory footprint, resulting inefficient memory usage.

A Chinese robot has started exploring the far side of the moon. The Chang'e-4 probe will explore the surface and carry out geological experiments. China plans to follow this up with further missions to return moon rock to laboratories on Earth. But it's not just scientists who are fascinated with the moon's hidden face. Musicians, film-makers and, of course, conspiracy theorists have all been inspired by that secret, barren landscape.

Forbes has dangled various carrots in front of its contributors to get them to post more. An artificial intelligence tool that writes a rough draft for them. Over the summer, the business publisher, which just had its most profitable year in more than a decade, rolled out a new CMS, called Bertie, which recommends article topics for contributors based on their previous output. Now it's going one step further, testing a tool that writes rough versions of articles that contributors can simply polish up, rather than having to write a full story from scratch. The tool is currently available to Forbes' editorial staff and senior contributors in North America, and will be rolled out to all of its contributors in North America and Europe in the first quarter of 2019.

In 1982 the film Blade Runner provided us with a stunning but utterly dystopian vision of the year 2019. But now it is upon us, how close is the Blade Runner 2019 to reality? As with any vision of the future, Blade Runner has deep influences from the time it was conceived. There is something both socially and aesthetically that is distinctly 80s about the sci-fi masterpiece. However, there is also some thrilling tech that belongs firmly in our collective vision of the future.

David Cohn is a co-founder and Chief Strategy Officer of Pigeon, a social sharing app on Facebook Messenger where the community decides what content gets spread and what gets buried. At Pigeon, David oversees product strategy and spearheads the company's data insights team. In 2015, David joined The Alpha Group, an in-house tech and media incubator for Advance Local, and served as a senior director overseeing content strategy. Advance Local is a media company that specializes in the creation of informational web and local news sites. David has been instrumental to The Alpha Group achieving its mission to develop, accelerate and release innovative tech and media products to help Advance Local create new revenue streams and forge deeper connections with audiences.

The motivation for this project was for me to learn using a recurrent neural network (RNN) to generate quotes similar to my favorite philosophers and thinkers. I had seen many other people generating music, jokes and even molecules using RNNs. I was pumped to do the same, but for philosophy. From the web, I had collected about 5000 quotes from thinkers like Camus, Nietzsche, Wittgenstein, Feynman, David Hume, Stephen Hawking, and James Carse. What skipped my eye completely was that the projects that I took as inspiration usually had a dataset that went into millions and all I had with myself was 5000 sentences.