Google uses AI for services like search, translation and face detection, but its AI chips, which it calls tensor processing units, run in data centers. Now AI chips are spreading to phones, PCs, cars and more. You've likely seen artificial intelligence technology spread into apps, devices and services, doing things like recognizing your friends' faces in photos and endowing smart speakers with human-sounding voices. Well, good news: The processor industry has noticed, too. That means we'll see a slew of new chips that should speed up AI tasks not just on your phone or laptop but also in your car or home security camera.

Artificial Intelligence in smartphones is changing the way enterprises do business as well as the way they reach out to consumers. This is a trending new technology which has great potential and is impacting both B2B as well as B2C companies. Let's take a glimpse of how smartphone AI is evolving and bringing about changes in the business world. It matters how intelligently a business is placed to live up to the technological advancements. If you would visualize something online which you like, you would most likely look for it in an actual physical store before you actually decide to order it.

Hype over artificial intelligence reached its zenith in 2017, with CIOs, consultants and academics touting the technology as potentially automating anything from business and IT operations to customer connections. Yet through the first calendar quarter of 2018 several media organizations reported on the dangers of AI, which involves training computers to perform tasks normally requiring human intelligence. "There's been so much hype in the media about it and this is just journalists trying to extend the hype by talking about the negative side," says Thomas Davenport, a Babson College distinguished professor who teaches a class on cognitive technologies. Perhaps, but the concerns are hardly new and very persistent, ranging from fears about racial, gender and other biases to automated drones running amok with potentially lethal consequences. Get the latest insights with our CIO Daily newsletter.

"With devices like Alexa Echo, Apple HomePod and SmartLock in our homes, the'intelligent personal assistant' SIRI and Google in our pockets, we have to become more aware that we are giving devices an incredible amount of personal data and control to machines. Our young people are growing up where this is normal practice and more and more common. This initiative is about giving students the opportunity to reflect on the control and information that we freely hand over, and about examining some of the potential outcomes in society as we give more and more to machines and machine learning. HAL was a concept 50 years ago, a warning of sorts, that is still valid today. We want the students to have fun, and to see the opportunities as well as the challenges of the incredible technology we have in our world today and potentially tomorrow," said Valerie Cowman, Chair of the Skills & Education Committee of the CEIA – Cork's Technology Network.

Artificial intelligence (AI) is a field of technology that is surrounded by both hype and misconceptions. It is predicted that $60 billion will be spent by brands on AI technology by 2025, so this hype is having a direct impact on where companies allocate their budgets. A significant difficulty in defining the size of the AI market is in defining exactly where its boundaries lie. Although we tend to imagine eerily human robots that mimic our mannerisms, AI is actually a very broad field that encompasses a range of disciplines – some more relevant to search marketing than others. More often than not, it is embedded in software that can process vast amounts of data to make or inform more intelligent decisions.

Chatbots and voice assistants powered by artificial intelligence are starting to gain traction in the workplace of large organisations, according to a report from tech firm Spiceworks. The report, based on a survey of 500 IT professionals in organisations across North America and Europe, found that within the next 12 months, 40 percent of large businesses – those with more than 500 employees – expect to implement one or more intelligent assistants or AI chatbots on company-owned devices, compared to 25 percent of mid-size companies and 27 percent of small businesses. The findings indicate that although adoption is on the rise, some organisations are holding back due to a lack of use cases in the workplace and privacy concerns. Across all company sizes, Microsoft Cortana is the most commonly used intelligent assistant in the workplace, likely due to its native integration into Windows 10. Among organisations that have implemented intelligent assistants or chatbots on company-owned devices and services, the results show 49 percent are currently using Microsoft Cortana for work-related tasks, followed closely by Apple Siri at 47 percent.

A report from Bloomberg earlier this week claimed that Apple's HomePod isn't doing so well, and that the company cut orders for new hardware from suppliers. This might not shock some of you: Apple missed the all-important holiday buying season and is competing with less expensive hardware from Google, Sonos and Amazon. But is the first smart speaker with Siri already a failure, or does the HomePod simply need time to find its place? I'm not in any way surprised that the HomePod has fizzled, simply because it's a weird product with a very weird proposition. I seriously considered buying it in the run-up to its launch, but ultimately couldn't find a strong enough reason to plunk down $350.

Despite concerns over data privacy and immature technology, AI assistants and chatbots are gaining a foothold among businesses, according to a report from IT professional network Spiceworks. The report, which surveyed 529 IT professionals from North America and Europe, showed that 29% of respondents have implemented one or more chatbots or intelligent assistants for work-related tasks, or plan to do so this year. Adoption was higher for larger organizations, which have more resources to evaluate emerging technologies, with 24% using AI assistants or chatbots currently and 16% set to deploy the technology this year, for a total of 40%. "A lot of businesses are starting to see how these technologies are useful, and because they are more widely available, we are seeing adoption increase," said Peter Tsai, Spiceworks senior technology analyst and the author of the report. He added, however, that the technology is still "in its infancy."

Apple has turned Siri into a real comedienne. Siri has always been able to tell a joke or two, but it appears that Apple has programmed the voice assistant to be able to serve up a whole slew of new puns. The new jokes recently started rolling out to Siri-equipped devices, according to MacRumors. Most of the jokes are pretty cringe-worthy, but they're still likely to summon a chuckle. To try it out yourself, say: 'Siri, tell me a joke'.

Singular value decomposition (SVD) is the mathematical basis of principal component analysis (PCA). Together, SVD and PCA are one of the most widely used mathematical formalism/decomposition in machine learning, data mining, pattern recognition, artificial intelligence, computer vision, signal processing, etc.. In recent applications, regularization becomes an increasing trend. In this paper, we present a regularized SVD (RSVD), present an efficient computational algorithm, and provide several theoretical analysis. We show that although RSVD is non-convex, it has a closed-form global optimal solution. Finally, we apply RSVD to the application of recommender system and experimental result show that RSVD outperforms SVD significantly.