If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Just in time for the holiday lull, here is a fun ML project that processes a popular movie-clip down to the actor's face and biography in a fully automated pipeline and in near real time! It's all done in around 200 lines of code. This may seem like a lot of code, but just five years ago it would have required tens of thousands of lines and a headache. At SpringML, we've built many solutions using the versatile Google Cloud suite of APIs but some of the funnest projects have been working with the Google Video Intelligence and Vision APIs in particular. Leveraging these two powerful APIs is like having an army of convolutional neural-network PhDs at your beck and call.
Here at Hootsuite we're always looking for better ways to utilize our time and new technology. That's why we're looking at building an environment that helps developers leverage machine learning (ML) in production and minimize the overhead (i.e. Currently, ML is often done on a very ad-hoc basis. That's because there is no standardized workflow--as of yet--to deal with many of the unique difficulties associated with ML. Given the complexity of ML systems, it's unsurprising that they can contain some areas of technical debt.
At some fundamental level, no one understands machine learning. It isn't a matter of things being too complicated. Almost everything we do is fundamentally very simple. Unfortunately, an innate human handicap interferes with us understanding these simple things. Humans evolved to reason fluidly about two and three dimensions.
A team of Google researchers has created psychedelic stickers that can fool image recognition software into seeing objects that are not there. Using a toaster as an example, the team produced colourful computer-generated patterns by sampling hundreds of photographs of the appliance. When the patterns were put next to another item, such as a banana, many neural networks saw a toaster instead. The team said the method could be used to "attack" image recognition systems. "These adversarial patches can be printed, added to any scene, photographed, and presented to image classifiers," the researchers said.
It was a record setting cold start to 2018 but that doesn't mean that there aren't burning issues that IT and Business leaders need to keep watching over the next 12 months. We asked our executives what their predictions were for 2018 and this is what they had to say. Sven Lindemann: Centralize Payments to Control Cash Flow, Improve Compliance and Prevent Fraud "Centralization, fraud prevention and compliance are all major topics that clients are focusing on at the moment. Everyone wants to discuss these issues, and organizations are increasingly open to moving to the cloud in order to address these areas more effectively…. Increasingly we see companies wanting to approach [Payments] in a centralized way so that they can make sure they are working with the right partners, paying the right amounts and receiving the expected sums."
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The next wave of digital technologies is on the way, and it promises to change our lives as dramatically as the smartphone did. We're seeing technologies such as chatbots, augmented reality and video that has transformed the way we use our mobile devices. Here are a few of the mobile and digital trends that are likely to unfold during 2018. Artificial intelligence and chatbots will continue to mature next year, making it easier than ever for people to interact with technology and to carry out complex tasks. Powered by machine learning (computer systems that learn from experience without being programmed) and Artificial Intelligence, natural language processing allows us to speak or type to computers in our usual sentences, simplifying our interface with devices and apps.
There was a point when the term AI conjured thoughts of Terminator and murderbots that took over the world. Today, there's a resurgence of the term, but times have changed. Now, for many people, the initial image is that of helpful appliances, friendly robots, self-driving cars, wearables, and automated dog walkers. It seems sprinkling in the term AI makes many common things suddenly edgy or worthy of attention. But do we all mean the same thing?
Build it and they will come. Those were the good ole days. It used to be good enough to design a great app. Add to that an engaging user experience (UX), positive feedback, a high ranking and word of mouth, and your app was ensured continued success. Nowadays however, mobile consumers are simply overwhelmed by choice.
Announcing its plan to broaden the AI for Earth programme, Microsoft has pledged $50 million over the next five years to put artificial intelligence technology in the hands of those who are working to mitigate climate change. Microsoft rolled out the AI for Earth programme six months ago with an aim to put the power of artificial intelligence towards tackling environmental challenges. "At Microsoft, we believe artificial intelligence is a game changer. Our approach as a company is focused on democratising AI so its features and capabilities can be put to use by individuals and organisations around the world to improve real-world outcomes," Microsoft President and Chief Legal Officer Brad Smith wrote in a blog post on Monday. The announcement came on the eve of the second anniversary of the Paris Agreement.