AdviceRobo combines the worlds of artificial intelligence scoring and robo-advisory to create a solution for the next-generation of financial institutions. The Dutch firm, with its London office at Level39, uses data and machine learning to support lending for millennials and SMEs. The tech is white-label and backed by specialists in finance, AI, behavioural science and software development. The Seedrs funds will be used to grow the firm's UK presence – find out more and take part in the campaign here. The data explosion and the use of new technologies such as Machine Learning can help to predict risk at an individual customer level.' says Diederick van Thiel, CEO of AdviceRobo,.

This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. The paradox of automation: Earlier this year, Facebook exorcised those pesky human editors who were introducing political bias into its Trending news list and left the job to algorithms. Now, reports Caitlin Dewey in The Washington Post, the Trending news isn't biased, but some of it is fake. Turns out the algorithms can't tell a real news story from a hoax. Facebook says it can improve its algorithms, but errors of judgment aren't the only pitfall in transferring human tasks to machines.

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Symantec has launched Endpoint Protection 14, a new security solution which harnesses artificial intelligence to protect clients. Announced on November 1, the new security offering is powered by AI and machine learning on the endpoint and in the cloud. Symantec says that by harnessing machine learning to collate data and detect patterns and anomalies which may indicate a cyberattack, AI provides "a multi-layered solution able to stop advanced threats and respond at the endpoint regardless of how the attack is launched." Symantec Endpoint Protection combines machine learning, memory exploit mitigation, and threat intelligence provided by Symantec and Blue Coat, which combined their research and security operations in October after Symantec completed the acquisition of Blue Coat for $4.6 billion. The company also says that the solution is capable of 99.9 percent efficacy, low false positives, and a 70 percent carbon footprint reduction in comparison to past endpoint software.

A self-locking mailbox could someday flag down delivery drones and intelligently screen your driveway for intruders. Columbus State University computer scientist Lydia Ray presented the technology, called the ADDSMART project, during a 20 October session at the annual IEEE Ubiquitous Computing, Electronics, and Mobile Communication Conference in New York City. The project aims to achieve two goals: clearly marking addresses for autonomous vehicles, and reducing the energy and data storage costs of home surveillance systems. An early prototype mailbox attachment suggests that the trick, in both cases, may be radio-frequency identification. Powered by an Arduino Yun processor, one component of the ADDSMART device controls a high-frequency 13.56-MHz RFID reader, USB camera, passive-infrared motion sensor, solenoid lock, and an onboard Wi-Fi module.

The Ring Video Doorbell is the world's first battery-operated, Wi-Fi enabled, HD video doorbell. The device enables homeowners to see and speak with visitors from anywhere in the world by streaming live audio and video of a home's front doorstep directly to the free iOS or Android app. The doorbell's built-in motion sensors detect movement up to 30 feet, and HD video recording stores all recorded footage to the cloud which can be accessed via the Ring app. The Ring Doorbell is quick and easy to set up as it mounts and syncs in minutes and has a built in battery, however, it can also be powered through your existing doorbell wires. Over 11,000 people have reviewed the Ring Video Doorbell on Amazon (read reviews) and have given it an average of 4 out of 5 stars.

The core of HG Data's business lies in gathering raw documents, which it processes and delivers as a feed or flat file to customers. The data platform uses proprietary natural language algorithms to process the documents. The algorithms have intelligence built-in to identify appropriate language and syntax. For example, if a document is a job description for a global sales position requires experience with a customer relationship management (CRM) system, the platform's algorithms can distinguish between "a global salesforce using a CRM" and "the Salesforce CRM." The company collects documents from private sources and receives the data in batch loads.

Stefanie Tellex, assistant professor of computer science at Brown University, is solving a thorny robotics problem: robotic grasp. She has built a machine learning model so that robots can automatically learn to manipulate objects and can produce much-needed sample data with which other researchers can use to train robots to pick up objects, she explained at the MIT Technology Review's EmTech conference. If you go to a robotics lab and put an object in front of a robot that it has not seen before, that robot will almost always not be able to pick up that object." It's a problem because a robot has to understand the task and the object from sensor information. The robot arm's controls need answers to important questions: what is the object shape, where is it, how should the robotic arm and gripper move into position and where is the right place to grip the object to pick it up?

The alliance is the latest by IBM in a bid to harness Watson's cognitive learning capabilities to benefit millions of college students and professors. The announcement follows a separate agreement announced at the end of June between IBM and Blackboard, and the roll out of an IBM Watson-enabled app for Apple earlier this month, among other initiatives. For Pearson, the alliance represents a chance to combine its global offering of digital learning products with IBM's cognitive learning platform in an effort to give students a more immersive learning experience with their college courses. And it promises to give instructors greater insights about how well students are navigating through their courses. To accomplish that, Watson will essentially ingest and analyze all of Pearson courseware.