NEW YORK: Spanish lender Banco Santander SA has invested in two artificial-intelligence companies, part of the financial industry's increased focus on technology smart enough to mimic human thinking, sources familiar with the deals told Reuters. The bank's venture arm, Santander InnoVentures, bought stakes in Personetics Technologies, which provides automated customer service, and Gridspace, whose software can learn and interpret language the way a person would, the sources said. The size of the investments could not be determined and the sources asked not to be named because they were not allowed to disclose the information publicly. The deals underscore how lenders have become more interested in using artificial intelligence for a wide variety of tasks, including hiring, spotting fraud, improving call centres and recommending products for customers. Personetics, which has offices in New York, London and Tel Aviv, creates "chatbots" that can respond to customer questions through popular messaging platforms like Facebook Inc's Messenger.

In a bid to boost its prospects in the world of artificial intelligence (AI), Apple has acquired Israel-based startup RealFace that develops deep learning-based face authentication technology, media reported on Monday. Reported by Calcalist, the acquisition is to be worth roughly $2 million (roughly Rs. 13.39 crores). A Times of Israel report cites Startup Nation Central to note RealFace had raised $1 million in funding thus far, employed about 10 people, and had sales operations China, Europe, Israel, and the US. Set up in 2014 by Adi Eckhouse Barzilai and Aviv Mader, RealFace has developed a facial recognition software that offers users a smart biometric login, aiming to make passwords redundant when accessing mobile devices or PCs. The firm's first app - Pickeez - selects the best photos from the user's album.

AI is about to go mainstream. It will show up in the connected home, in your car, and everywhere else. While it's not as glamorous as the sentient beings that turn on us in futuristic theme parks, the use of AI in fraud detection holds major promise. Keeping fraud at bay is an ever-evolving battle in which both sides, good and bad, are adapting as quickly as possible to determine how to best use AI to their advantage. There are currently three major ways that AI is used to fight fraud, and they correspond to how AI has developed as a field.

Feedback plc (LON:FDBK) expects to see a substantial increase in revenue from its TexRAD software in the second half of the current financial year. The medical imaging firm has previously reported a significant number of purchase orders for research versions of TexRAD in the first half of its current financial year (i.e. to the end of November), but investors hoping this would show through immediately in the interim results were disappointed. The majority of the installations were done just before the end of the reporting period so the sales made only a modest contribution to revenue. Nevertheless, Feedback trimmed its half-year loss before tax to £130,000 from a loss the year before of £155,000 on revenue that dipped to £204,000 from £225,000. "We are encouraged by the continued strong interest shown in TexRAD and the number of research papers being published, which highlight its numerous potential applications, particularly in areas such as liver, prostate and adrenal cancers," the company said.

Artificial Intelligence (AI) is becoming increasingly integrated into many industries such as healthcare, alongside particular business departments such as sales and customer service. In a society where everything is becoming more technology dependent, it is inevitable that AI will play a role in sales interactions in the future. We expect that sales reps will increasingly use AI in their day to day activities within the next few years, and knowing where and how to take advantage of this new technology will ultimately help sales reps to improve their sales skills and leverage AI to deliver an enhanced service to clients. According to HBR, 85% of all sales rep activities have the potential to be automated (1). Tasks such as gathering information from customers and prospects, taking customers' orders for a particular product or processing the sales transaction itself could all be done by AI technology.

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Google's rollout of artificial intelligence has many in the search engine optimization (SEO) industry dumbfounded. Optimization tactics that have worked for years are quickly becoming obsolete or changing. And is it possible to find a predictable optimization equation like in the old days? That is to say, when changes came, they came wholesale. Large and abrupt movements, sometimes tectonic, were commonplace in the past.

When Apple launched an online shop for smartphone apps, few expected it would result in over 140 billion app downloads over a little more than seven years. And although the number will continue to increase this year, the app economy is reaching maturity. In fact, approximately 23% of apps are abandoned after a single use. Users are spending an increasing amount of time in just two to three apps -- social media and messaging. The number of social media users worldwide is expected to reach 2.95 billion by 2020, and 2.5 billion people already have at least one messaging app on their phone.

Following the previous article about "The Core of the Modern Chatbot," this article gives a deeper understanding about the technologies needed for chatbots. NLP (Natural language processing) and Machine Learning are both fields in computer science related to AI (Artificial Intelligence). Machine learning can be applied in many different fields. NLP takes care of "understanding" the natural language of the human that the program (i.e. This understanding enables the program (i.e. The machine "learns" and uses its algorithms through supervised and unsupervised learning.

On February 16th, Antonio García Morte, CTO (Chief Technology Officer) at the CADC participated in the "Artificial Intelligence Days at ETSIT" to give a workshop to the students of the Technical School of Telecommunications Engineers of the Polytechnic University from Madrid. The workshop was attended by 106 engineering students of different specialties such as; Telecommunications, Computing and Biomedical, interested in all the advances that are happening in the field of artificial intelligence.During the session will be treated in a very interactive way all the advances that are happening in the field of artificial intelligence. Antonio García Morte, conducted a very interactive workshop with students discovering the fundamental theoretical aspects, such as search algorithms, deep learning, or genetic algorithms, to reach the most important practical advances of our time, such as the self-driven car. The teaching objective of the session was to provide to the student a clear mental map of the different areas that make up the artificial intelligence, together with the theoretical foundations and practical applications of each one of them.