Joanna Glasner is a reporter for Crunchbase. You would think at least one AI-powered humanoid bot would have a properly nerdy name. Maybe a Poindexter or Hildegarde to add some natural language processing to your customer chat app? Instead, it sounds like the cool kids are in charge at most digital assistant and bot startups. Think short, peppy names that top the popular baby name lists.

Smart machines and applications are steadily becoming a daily phenomenon, helping us make faster, more accurate decisions. And with more than 75% of businesses investing in Big Data, the role of AI and machine learning is set to increase dramatically over the next five years. Here are ten real-world examples of machine learning and AI you're probably using right now. Voice recognition systems such as Siri and Cortana use machine learning and other technologies to imitate human interaction. As they progress, these apps will learn to'understand' the nuances and semantics of our language.

You might have noticed lot of excitement around AI at the moment, with the likes of Google, Facebook, Microsoft, and Amazon all vying to be the loudest voice promoting the newest buzzword. In some cases it is even being heralded as the Fourth Industrial Revolution. With AI-powered Go and chess champions, it seems like'the singularity' is fast approaching. Even Apple's recent WWDC keynotes saw software chief Craig Federighi casually announce new Core ML APIs aimed at attracting AI-conscious coders, APIs that will increase the use of things like facial recognition and semantic text cognition in future Apple products. To be clear though, AI isn't quite yet the stuff of science fiction - although SkyNet may actually exist, what we have today doesn't resemble the Terminators, or even 2001: A Space Odyssey's Hal, luckily for us all.

Artificial Intelligence (AI) is already a ubiquitous part of our everyday lives. Think of asking Siri a question or having your car automatically manoeuvre to park itself – more of our daily devices rely on AI disciplines to apply interpretation and understanding to give information context, and thereby learn and act. The use of AI is growing and there has been much debate about its use by banks to streamline processes and add value, some of which we are already seeing in the form of robo advisors and big data processors. AI has the potential to address many of the challenges and expand opportunities for banks – reducing middle and back office administration, for example. To better assess the potential application and benefits of AI for financial institutions, we first need to clarify what we mean by artificial intelligence and exactly how it is different from'traditional' technology.

In 2013 I had a long interview with Peter Lee, corporate vice president of Microsoft Research, about advances in machine learning and neural networks and how language would be the focal point of artificial intelligence in the coming years. At the time the notion of artificial intelligence and machine learning seemed like a "blue sky" researcher's fantasy. Artificial intelligence was something coming down the road … but not soon. I wish I had taken the talk more seriously. Language is, and will continue to be, the most important tool for the advancement of artificial intelligence.

The rise of artificial intelligence (AI) is perhaps the single biggest challenge facing today's brands. This may sound like hyperbole, but anyone familiar with the development of AI over the past few years will know how disastrous it can be for brands to get it wrong. Microsoft's chatbot Tay is the obvious example. Microsoft quickly shut down the project, but not before receiving a barrage of criticism. Even some AIs that have been considered successes have stirred up branding controversies.

The E3 2017 show floor has closed, but gaming news will continue to flow all weekend as we wrap up our coverage of the event. Of course, that's not the only thing that happened this week, so check below for a few more highlights. You'll need a Galaxy S8 to get inSamsung starts testing voice features for its Bixby AI Despite tons of hype, Samsung's Bixby virtual assistant launched with only some of its promised features enabled. Now, Samsung is ready for an "early preview test" of voice search and control, which Galaxy S8 and Galaxy S8 Plus owners can register to join. The company has ambitious goals for Bixby, and this will be our first chance to see if it can really play in the arena with Siri, Google Assistant and Alexa.

After discovering the amazing power of convolutional neural networks for image recognition in part five of this series, I decided to dive head first into Natural language Processing or NLP. This hotbed of machine learning research teaches computers to understand how people talk. When you ask Siri or the Google Assistant a question, it's NLP that drives the conversation. Of course, as an author of novels and articles, working with language seemed like the obvious next step for me. I may suck at math but words are my domain! So I set out to uncover what insights NLP could give me about my own area of mastery. I had so many questions. Had NLP uncovered the hidden keys to writing heart-wrenching poems? Could AIs turn phrases better than the Bard? Luckily, I had just the right project in mind to test the limits of NLP. I was in the midst of naming the second book in my epic sci-fi saga The Jasmine Wars but I'd struggled to find the perfect title. What if I could feed a neural net with the greatest titles of all time and have it deliver a title for the ages? This isn't my first foray into computer assisted title generation. There are a number of random title generators out on the interwebs that I've tried from time to time. They're the type of toy you play with for a few minutes and then move on.

The Artificial Intelligence has created hype in the recent years and flabbergasted the world with its ever-changing inventions. The big companies such as Google, Facebook, and Microsoft are making strides and racing to invest in AI. The products such as Amazon's Echo, Apple's Siri, Microsoft's Cortana, and Facebook's M are the instances of how hastily companies are adopting this trending technology. In this new era of humanoids, Artificial Intelligence is set to become less artificial and more intelligent. The techniques in AI such as predictive analytics, natural language generation, voice or image recognition or machine language is fuelling innovation day by day and transforming the way companies do business.

There was further evidence of the high demand for artificial intelligence and data science professionals this week, as job site Indeed.com Three of the top 10 spots went to AI and data-related positions, with the job of machine learning engineer now coming in at a strong second place finish. Meanwhile, more than 10 percent of new jobs created in the U.K. this year have been in technology fields, with expertise in artificial intelligence and data science two of the primary drivers--but filling those positions is proving tough. Confirming the demand for technology jobs in general, tech jobs are the third-largest category in "hard to fill" roles on Indeed's platform, behind sales and management. Indeed based its top tech jobs list on hundreds of thousands of job searches and vacancy listings conducted on its website over the past 12 months. "The software economy is driving significant new employment opportunities in London, and this is showing up in the tech talent shortage, especially where developer and more senior roles are concerned," said Raj Mukherjee, a senior vice president at Indeed.