You're young and want to get ahead. You work weekends and message colleagues with inspired trading ideas at all hours. You've just marked yourself as a potential rogue trader. Welcome to the brave new world of trader surveillance, where former Goldman Sachs research analyst Erkin Adylov is building a library of banking villainy based on the behaviors of hundreds of past miscreants such as UBS Group's Tom Hayes and Societe Generale's Jerome Kerviel. Using thousands of inputs, from stress levels in voice recordings to the frequency of visits to the staff canteen, Adylov and his team at startup Behavox grade employees on how likely they are to go bad before they do anything wrong. While that may sound like something out of a Philip K. Dick science-fiction novel, hedge fund Marshall Wace and interdealer broker TP ICAP are already using the software to monitor employees, and some of the biggest investment banks and commodities dealers in the world have begun testing it.

IDC reports that mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data, adding that organizations are now linking mobile devices to mainframe processing and data. In this scenario, excellent end-user experience becomes critical, IDC says. Read on to learn how CA Mainframe Operations Intelligence can help.

Mr. HUANG talked about the challenges facing the industry in the era of AI and how it could translate those challenges into opportunities. He pointed out that the emergence of neural machine translation, the application of speech interactive technology and the rapid development of the Internet Era had a huge impact on traditional human translation. Though the industry has begun to realize the importance of AI and other technologies, the mechanism and platform to promote their application is still lacking. Mr. HUANG believed that governments, language colleges, language and AI service providers, experts and freelance translators should join hands in exploring this topic and advise the industry on development in the new era. In addition to the guidance of government and industrial organizations, an effective cooperative mechanism shall be established to ensure the maximum synergy between colleges, research institutes and language service providers.

Marketers will need to transform from campaigns to real-time, continuous interaction with customers via intelligent agents. So says Forrester Research VP and Principal Analyst Brian Hopkins, co-author (with Adam Silverman) of a new Forrester Research report, The Top Emerging Technologies to Watch: 2017 to 2021 ($499 for individual purchase). It's about the top 15 developing technologies that will help businesses become more customer-obsessed over the next years. Forrester is obsessed with customer-obsession, which it says is essential to a modern brand and which is characterized by several key principles. According to the research firm, such a customer-focused company is led by insights from and about customers, responds quickly and is thoroughly connected everywhere. The report chose 15 technologies for their impact on companies employing these principles.

Several types of such systems exists • Closed Loop Systems – based on a predefined irrigation scheme the control system takes over and makes detailed decisions on when and how much water to apply • Open Loop Systems – based on the amount of water to be applied and the timing of the irrigation • Volume Based System – The pre-set amount of water can be applied in the field • Time Based System – works with time clock controllers (Adapted from BOMAN et al. 2006)All rights reserved. USE CASE - Face recognition systems for Domestic Cattle • Facial recognition of cows in dairy units can individually monitor all aspects of behavior in a group, as well as body condition score and feeding. Facial recognition of cows EFFECT OF USAGE • With this system it is possible to feed cows a lot less expensively if you know what they will and will not eat. It is meant to be deployed as a group or "swarm".The other three steps involve autonomous robots that tend the crops, harvest them, and finally one robot that can plant, tend, and harvest autonomously transitioning from one phase to another. Swarm Prospero EFFECT OF USAGE • The application of the system increases the productivity of land on a per unit basis. USE CASE – Strawberry Harvesting Robot • Automated harvester recently wheeled through rows of strawberry plants here, illustrating an emerging solution to one of the produce industry's most pressing problems: a shortfall of farmhands.

F-35s, F-22s and other fighter jets will soon use improved "artificial intelligence" to control nearby drone "wingmen" able to carry weapons, test enemy air defenses or perform intelligence, reconnaissance and surveillance missions in high risk areas, senior Air Force officials said. Citing ongoing progress with computer algorithms and some degree of AI (artificial intelligence) already engineered into the F-35, Air Force Chief Scientist Gregory Zacharias said that technology was progressing quickly at the Air Force Research Lab - to the point where much higher degrees of autonomy and manned-unmanned teaming is expected to emerge in the near future. "This involves an attempt to have another platform fly alongside a human, perhaps serving as a weapons truck carrying a bunch of missiles," Zacharias said in an interview with Scout Warrior. An F-35 computer system, Autonomic Logistics Information System, involves early applications of artificial intelligence wherein computers make assessments, go through checklists, organize information and make some decisions by themselves – without needing human intervention. "We are working on making platforms more autonomous with multi-int fusion systems and data from across different intel streams," Zacharias explained.

A startup that has developed artificial intelligence to better manage city water systems is among 10 companies from around the world admitted to a San Francisco accelerator focused on turning drought, leaky pipes and pollution into business opportunities. Emagin, founded in 2016 by Thouheed Abdul Gaffoor and Mohamad Vedut, was among more than 200 applications for the 2017 cohort at the Imagine H2O accelerator in California. After graduating from the University of Waterloo with a degree in environmental engineering, Gaffoor hooked up with Vedut, who graduated from the University of Ontario Institute of Technology with a degree in software engineering. They founded Emagin and moved into the Velocity Garage in the Tannery building in downtown Kitchener while Gaffoor pursues his master's in civil engineering at UW. Two Ontario municipalities are using the startup's artificial intelligence to help operate drinking water and wastewater systems. Emagin's software quickly establishes the normal rates of water use on a system, and alerts operators to problems.

Editor's note: This is the second chapter of a book I'm working on called Demystifying Artificial Intelligence. The goal of the book is to demystify what modern AI is and does for a general audience. So something to smooth the transition between AI fiction and highly mathematical descriptions of deep learning. I'm developing the book over time - so if you buy the book on Leanpub know that there are only two chapters in there so far, but I'll be adding more over the next few weeks and you get free updates. The cover of the book was inspired by this amazing tweet by Twitter user @notajf.

Digital health platform provider HealthTap is betting its new Dr. A.I. mobile app will eliminate the risk of a patient incorrectly self-diagnosing their condition through online searches by providing accurate, online triage that directs patients to the right level of care. The app, which uses artificial intelligence to perform online triage based on a patient's symptoms, can help reduce the risk of a patient incorrectly self-diagnosing her symptoms, which happens frequently with Internet searches, HealthTap says. There are 10 billion symptom-related health searches per year on Google, says HealthTap CEO Ron Gutman. "Search engines can't consult a patient's health records or ask follow-up questions to put a person's symptoms into proper context," Gutman says. "Effective triage requires detailed knowledge of a patient's personal health situation, making context critical to providing optimal care."

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