I often have to write in different languages and was shocked to find that overnight Google Translate went from being a joke to "knowing" even my best foreign language better than me. The reason: an AI program called "Deep Learning."

We use deep learning to model interactions across two or more sets of objects, such as user-movie ratings or protein-drug bindings. The canonical representation of such interactions is a matrix (or tensor) with an exchangeability property: the encoding's meaning is not changed by permuting rows or columns. We argue that models should hence be Permutation Equivariant (PE): constrained to make the same predictions across such permutations. We present a parameter-sharing scheme and prove that it could not be made any more expressive without violating PE. This scheme yields three benefits. First, we demonstrate performance competitive with the state of the art on multiple matrix completion benchmarks. Second, our models require a number of parameters independent of the numbers of objects, and thus scale well to large datasets. Third, models can be queried about new objects that were not available at training time, but for which interactions have since been observed. We observed surprisingly good generalization performance on this matrix extrapolation task, both within domains (e.g., new users and new movies drawn from the same distribution used for training) and even across domains (e.g., predicting music ratings after training on movie ratings).

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ThoughtWire, developers of the award-winning Ambiant IIoT platform, today announced the closing of a combined $20 million debt and Series A financing. ThoughtWire will use the financing to further the company's geographic growth using Ambiant to make cities smarter, buildings more automated and energy efficient, and hospitals and workplaces safer, by interconnecting and orchestrating people, workflows, data and things in real-time. The investment round includes a respected syndicate of new and current investors including Yaletown Partners, BDC Capital, Round13 Capital, Epic Capital and Comerica. "We are proud to have new partners who are invested in our vision and mission to orchestrate a healthier, safer and cleaner world, and the enormous market opportunity that lies ahead for ThoughtWire," says Michael Monteith, CEO of ThoughtWire. "We're excited to have the opportunity to apply this latest investment to grow our team and expand the impact of our forward-thinking technology on Smart Cities and buildings, better healthcare and advanced manufacturing." Over the last two years, after attracting worldwide recognition from both Gartner and Frost & Sullivan for Ambiant's use in healthcare, the Ambiant IIoT platform is now being applied across diverse industries to deliver intelligent automation and provide real-time guidance to machines and staff to predict and resolve issues, ensure safety, and achieve energy efficiency.

As guests mingled among the appetizers and food at Accenture's Technology Vision event last month in San Francisco, California, jazz music played in the background. The band improvised a number of classic standards, which was noteworthy because one of the players was Shimon, a robot, and it was playing a mean marimba. The presence of a jazz-playing robot was fitting because the theme of the evening was the intersection of human and machine, highlighting the release of Accenture PLC's "Technology Vision 2018" report. It documented the need for enterprises to fully understand emerging technologies, such as artificial intelligence, virtual reality, augmented reality and cloud computing. The robot's musical accompaniment offered yet another example of civilization's inexorable march to a world where machines are part of daily life, doing just about everything humans can do in real time.

Artificial intelligence and machine learning are new technologies that some companies are innovators are experimenting with in order to develop new products and services. The world of art does not seem to be a natural fit for application of these technologies at first, but content creator Nathalie Frederiksen is working on combining AI with cinematic art and virtual reality (VR). Nathalie Frederiksen is working on a project called Innovatus which aims to combine AI, high-quality performance art with immersive VR. The project will be the largest that Nathalie Frederiksen has worked on so far. Full details on what Innovatus will entail have yet to be revealed, but indications are that it will involve'human simulation technology'.

Developers have long been bereft of a platform that would have allowed them to monetize on their developments. Large corporations are unwilling to buy solutions from smaller enterprises or from private developers, preferring to hire staff and appropriate patents and solutions, selling them at much higher prices to businesses after limited tuning and adjustment to fit their business strategies. The fact that independent and small-scale developers have limited opportunities of presenting their AI and software solutions is hampering the growth of the industry and is limiting the capabilities that businesses would have had under the circumstances of fair and free competition. GraphGrail Ai has come up with a solution to the issue through the development of its proprietary platform that allows independent specialists to develop solutions and monetize them through the use of GraphGrail GAI Tokens. The GAI Tokens allow for transparent and fair payment for results and ensure that both the developer and the business profit from mutual cooperation.

Almost two decades ago, Wang Xi, then a teenager living near the Chinese capital of Beijing, fell in love with an American robot combat TV show called BattleBots. One of the most-watched TV shows ever in the US, it got 1.5 million viewers per episode at its peak, and was syndicated around the world, including China. Wang knew then that he wanted to one day make his own robot, and having it battle on TV in China. This year, Wang saw his dream realized on China's first robot combat show, King of Bots (铁甲雄心), which debuted in January. It's one of a series of robot combat shows that will air in the country this year, after China saw its first offline robot battle tournaments in recent years.

Before, I've imagined AI to be human-like robots we can touch and see, walking amongst us on earth. But when we finally manage to create the perfect AI, or an artificial consciousness, this could also be virtual. And this would mean we could create new virtual universes, with artificial consciousness. Maybe they won't even know they are artificial, created by mankind. In the future, this could be like a game for us, remember The Sims?

Everyone and their grandma are now working on algorithms to fact-check news. But as manufacturers, marketers and especially as consumers, we are facing a much bigger enemy. It is called artificial intelligence. This is the present: you run out of milk and go to the store. Or you go online to order.