Virtually every major smartphone vendor, from Apple to Samsung to LG to Huawei, is expected to release devices featuring artificial intelligence this year. Industry sources tell DigiTimes that virtual assistants will once again play a large role in the mobile industry in 2017, and that significant upgrades are on the way. According to DigiTimes' sources, Apple is working on an "enhanced" version of its Siri virtual assistant for its next generation of iPhone devices. The report doesn't specify whether or not this new Siri will appear on the iPhone 8, but with all the talk of the sweeping changes and additional features Apple is planning to bring to the iPhone for its 10th anniversary, a more advanced Siri would make sense. The report also points to Apple's acquisition of machine learning and AI startup Turi last August, which it says will allow the company to "further strengthen the functionality, as well as the market share" of Siri, which is now competing with the likes of Cortana, Alexa and Google Assistant.

A neuron is a nerve cell. The brain is made up of approximately 100 billion neurons. There are approximately 1 quadrillion synapses in the human brain. This is equal to about a half-billion synapses per cubic millimeter. What is behind the saying "We use only 10% of our brain?"

Technology in the so-called Smart Machine Age, which includes AI, virtual reality and robotics, will bring huge changes not just in headcount, but also in how people innovate and collaborate. That will require new approaches to how people think, listen and relate, says Edward D. Hess, a professor of business administration at the University of Virginia. In the "Smart Age" now evolving, ego has no place. Instead, the focus will need to be on the quality of ideas, accuracy, emotional intelligence and mindfulness. Hess writes about these issues in the just-released book he co-authored with Katherine Ludwig, titled Humility is the New Smart: Rethinking Human Excellence in the Smart Machine Age. Hess discussed his ideas on the Knowledge@Wharton show on Wharton Business Radio, SiriusXM channel 111.

Raspberry Pi has sold over 10 million units, making it the most successful British computer ever, according to Wired. Thanks to its ridiculous popularity and all of the intelligent things people have done with it, it's going to be able to broach a new frontier: artificial intelligence. Raspberry Pi is joining the forces of its proprietary machine learning, artificial intelligence, and additional tools to create something new going forward, according to the official website. A post on the Pi's site states that "Goole is going to arrive in style in 2017" and mentions that the "tech titan" has a lot of plans going forward for the community with "a range of AI and machine learning services ready to roll." The post explains that the Pi community is going to be given brand new tools to help enhance what the Pi can already do, and as such is offering a survey to users to determine better what could help users out more.

Code the City #8, which will take place in on Sat 25th to Sunday 26th February 2017, will be an exploration of the world of chatbots and AI (or Artificial Intelligence), identifying problems to tackle and quickly prototyping solutions. A chatbot is a piece of software that interacts with a customer or user to directly answer their questions. It uses existing data or information coupled with artificial intelligence to respond in a human-like way, guiding the user to a solution. There are many examples of live chat bots in this exciting, emerging field. A chatboat could give you travel directions, tell you when its next going to rain in your area, or help you contest parking tickets.

The Banking and Finance sector (BFSI) is witnessing one of its most interesting and enriching phases. Apart from the evident shift from traditional methods of banking and payments, technology has started playing a vital role in defining this change. Mobile apps, plastic money, e-wallets and bots have aided the phenomenal swing from offline payments to online payments over the last two decades. Now, the use of Artificial Intelligence (AI) in BFSI is expediting the evolution of this industry. AI enables a computer to behave and take decisions like a human being.

Artificial intelligence (AI) can be understood as a science, engineering and deployment of machines, which perform tasks with intelligence as similar to humans. Since its inception 60 years ago, AI has observed significant growth in recent years. Initially, AI was considered as topic for academicians, though in recent years with development of various technologies, AI has turned into reality and is influencing many lives and businesses. Additionally, evolution of various other supplementary technologies such as cloud computing, machine learning and cognitive computing are collectively paving the growth of the market for AI. Many IT giants and start-ups are investing heavily in development of AI software solutions and hardware products. Some the prominent players in AI market in the recent times are Intel Corporation (U.S.), Google Inc. (U.S.), Microsoft Corporation (U.S.), Amazon.com,

With the explosion of Big Data and Analytics there are several related terms that are being used frequently that may not be completely understood. Below are definitions and details for a few of the high profile terms. Predictive Analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends as defined by Webopedia. Predictive analytics provides probabilities of results not guarantees. Predictive Analytics of one sort or another has been done for decades through tools like SAS and SPSS. There are more contemporary solutions as exemplified by companies like Alpine Data Labs and KNIME.

Over the last two years, we have highlighted deep learning use cases in enterprise areas including genomics, large-scale business analytics, and beyond, but there are still many market areas that are still building a profile for where such approaches fit into existing workflows. Even though model training and inference might be useful, for some areas that have complex simulation-driven workflows, there are great efficiencies that could come from deep neural nets, but integrating those elements is difficult. The oil and gas industry is one area where deep learning holds promise, at least in theory. For some steps in the resource discovery workflow, deep learning could lead to faster and more accurate results for potential discovery zones. Reservoir characterization is a critical step in this discovery process and is currently a hot area for explorations into how deep learning might be applied.

Facebook chatbots are one application of this revolution, as they rapidly gain popularity and provide a new tool for marketers to leverage. These chatbots are the incorporation of automatic chatbots within Facebook Messenger. Chatbots offer flexibility in order to automate tasks, and assist in retrieving data. They are becoming a vital way to enhance the consumer experience for the purpose of better customer service and growing interaction. In April 2016, Mark Zuckerberg announced that third parties could use the messenger platform to create their own personal chatbot.