This Algorithm Monitors Twitter for Fraud in Real Time

Program to Search Twitter in Real Time- Doubtful Links in Tweets

Social media sites have now become prone to fraudsters in alluring unwary users having links to financial fraud websites. In order to avoid this, an undergraduate at Harvard University, Daniel Rothchild had created a program which tends to search Twitter in real time, automatically for doubtful links appearing in tweets.

 As per results circulated in the Journal of Technology and Science, his program discovered over 70,000 suspicious tweets within 24 hours with about 56% of the tested links considered to be deceitful. The most tweeted deceitful link to a purported weight loss program had been tweeted over 12,000 times where all of the top 10 most tweeted links were said to be fake.

A 2014 survey, a joint project by the UK government, a Get Safe Online initiative, the National Crime Agency and the telecoms regulator Ofcom and others, observed that about 51% of Britons who had been surveyed were the victims of identity theft, hacking or abuse on social media and the losses from online fraud amounted to £670m a year.

In several cases, fraudsters tend to entice the users to websites they may have set up for the purpose of collecting their personal or financial information to present them with advertisement which tend to make deceptive offers.

Social Media – Tool to Connect with Victims

Considering the massive growth in popularity of social media, fraudsters tend to use social media as new tool to connect with the victims. There are various advantages to proactively find and monitor fraudulent websites.

At first, data, collected in this manner is unbiased by whether the user of various kind of fraud intend to report or not. There are some frauds which are under reported with many targeting specific demographics and those which are reported do not necessarily represent those who seem to be heavily targeted. Secondly, fraudsters often put up, take down or move their fraudulent websites on short timescales, probably to dodge detection.

Monitoring social media data constantly could enable consumer protection groups to be conscious of fraudulent websites quicker than otherwise. Lastly having a complete record of deceitful activity on social media could show evidence to the law enforcement while pursuing fraudster trying to conceal the extent of their fraud.

However, Rothchild’s procedure tends to turn cyber-criminals’ tools against them to proactively find areas of criminal activity before they get started.

Create Browser Extension to Alert Users

In order to help user in protecting themselves, Rothchild recommend that it would be possible in creating a browser extension which would alert users when they click on a link through Twitter which tends to be automatically identified by the tool as being suspicious.

He wrote a Python script to locate for keywords in Twitter’s real time stream and the keywords were termed loosely connected with common forms of fraud. These included muscle, diet, acai, cambogia, weight, lost fast and miracle pill that were taken from a report on online fraud that was published by the US regulatory body Federal Trade Commission.

They identified many terms that could have be associated with fraudulent offer. They included diet, exercise, weight, weight-loss, prize, lottery, sweepstakes and winner.

The precise option of keywords did not matter since it could be swapped to utilise any keywords and would be suspected of being connected with fraud. The procedure searched for precise links tweeted strangely large number of times, which indicated that a bot rather than a human was behind it.

Tesla's Cars Can Drive Themselves Starting Tomorrow

Tesla – Car’s Self Driving Features

Tesla recently announced at a press event, the release of version 7.0 of the Model S software, which is a broadly expected new build that permits the car’s self-driving features. The capabilities had first been announced last year while the essential sensors had been added to all Model S cars which had rolled off the assembly line since last September.

However, Tesla wanted more time to amplify the systems which it has been testing this year. The 7.0 release would start soon in the US on a rolling basis and would be proceeding to Europe and Asia soon pending regulatory approval.

This does not seem to be a completely autonomous vehicle like that of Google car, but the main feature is what Tesla calls Autosteer that tends to keep the car in its present lane once they are already on the road, managing speed as well as distance from the car ahead.

Elon Must, on the call, was cautious to call Autosteer as a `beta’ feature wherein drivers were instructed to keep their hands on the wheel even though the function was engaged. He commented that they want people to be quite careful, while admitting that some people tend to take their hands off the wheel regardless and that they do not advise that.

Features - Auto Lane Change

A forthcoming version 7.1 would add the capability of sending the car off to a garage on its own and come back to pick you up which is another feature informed, when Musk had announced autopilot potentials last year. The Tesla in fact instructs drivers to keep their hands on the wheel while the car is steering for them and helps to keep liability squarely out of their court.

He comments that if there is an accident, the driver of the car is responsible, while also observing that there would ultimately be a time where self-driving vehicles would be safe and reliable adequately to abandon drivers of that liability completely.

The other 7.0 features Auto Lane Change which would automatically move to the nearby lane by tapping the turn signal together with the Autopark which tends to scan constantly for available parking around the car.

System Comprises of Four Sensor Categories

When it locates a space for park, the cartends to park it on its own. Besides this, there is also the Automatic Emergency Steering and Side Collision Warning, which utilises the ultrasonic sensors to move the car away from risk while cautioning the driver whenever it is essential.

The system comprises of four sensor categories on the car namely forward radar, forward-facing camera, 360 degree ultrasonic sensors and the GPS accompanied with Tesla’s high resolution navigation maps which trail the individual lanes and features of the roadways.

These types of sensors are found on several modern vehicles that are equipped with semi-autonomous features such as lane keep and dynamic cruise control. Tesla is constantly uploading real world sensor data from 7.0 equipped vehicles to home base which Musk calls it `fleet learning technology’.

This means that the autopilot potentials need to be theoretically more reliable over a period of time and the functions will improve with passage of time, even without a firmware update since the car is accessing Tesla’s high-res maps.

How to Resize Partition under Windows 10?

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Honda's 'Wander' concepts preview the future of urban mobility

Honda comes up with ‘wander’ concepts for its upcoming personal micro vehicles range

Honda has embraced the ‘wander’ concepts for its new range of mobile vehicles which will offer free movement to the consumers. The ‘wander’ concept aims at bringing minimal number of controls along with the presence of augmented reality system which will be broadcasted on the dashboard and windscreen to offer more freedom to the consumers. This design is revolutionary in itself as it will allow an opportunity to the consumers to maneuver their vehicles vehicle among the pedestrians.

Honda is bringing a ‘wander walker’ at the Tokyo motor show which happens to be a cutting edge scooter possessing leather wrapped handles, small display and a wooden trim all around and a Wander Stand which is futuristic car with joystick at the dashboard instead of steering wheel.

These micro concept vehicles offer excellent maneuverability and at the part of Honda it wouldn’t require the extreme kind of modification which normal car series does.

Wander concept vehicle to provide more flexibility in terms of design and movement

The wander concept first car is named as Wander Stand which will easily allow two people to sit in it. It just possesses two set of wheels, swing door at both the sides and design happens to offer an ultra compact look. Honda had cleverly placed a joystick in the car instead of steering for more effective driving and maneuvering ability. Dashboard is touch enables and offers to display a wide number of information which aids in driving and it can easily sync with the Smartphone.

This car windshield has been equipped with the layer of augmented reality which not just offers information about the location but also renders 3D images of it. Console offers a great way to view the speed, distance and other information which will aid in the commuting from one place to another.

This particular scooter is designed to provide a great way to commute through the crowded streets and therefore it is equipped with a Virtual Reality screen which offers quick warning to evade any kind of danger.

Much better alternative than bikes

A bike is designed with two wheels and requires a balance creation by the rider to keep it afloat and to enjoy the ride at remarkable pace. But Honda concept scooter named as Wander Walker will possess four wheels of which the front pair will have the ability to turn at extreme angles. People will easily be able to perform a perfect 90 degrees maneuvering which will making it easier to park it in extremely tiny space available at various places. Furthermore Honda has even provided the option of turning this scooter sideways with the presence of Seat Turn buttons at the console.

This scooter offers augmented reality system which brings detailed navigation information to the driver in 3D format on the dashboard. The console present in the scooter can easily be synced with the Smartphone. Honda has used a honeycomb structure in the wheel along with a thin outer-layer of rubber which makes this vehicle very suitable for pathways.

How Robots Can Learn New Tasks by Observing

Robot Training Academies – Aid Industrial Robots to Perform Difficult Chores

Robot `training academies’ could aid industrial robots to learn performing difficult chores by first, observing how humans tend to do it. It could probably take weeks in reprogramming an industrial robot to accomplish a complicated new job which would make retooling modern manufacturing route expensive and slow.

The development could speed up if robots were capable of learning how to perform a new task by observing others first. This is the idea behind the project which is in process at the University of Maryland, wherein researchers are training robots to be attentive students.

Yezhou Yang, a graduate student in the Autonomy, Robotics and Cognition Lab at the University of Maryland states that it is a robot training academy. They have asked an expert to show the robot a task and let the robot figure out most parts of sequences of things which need to be done and then fine tune things to make it work. The researchers at a recent conference in St. Louis had demonstrated a cocktail making robot which tends to use the approaches they work on.

Two Armed Industrial Machine Robot – Rethink Robotics

A two armed industrial machine robot, made by a Boston based company known as Rethink robotics, had watched a person mix drink by pouring liquid from many bottles into a jug and then copied these actions, clutching bottles in the proper order prior to pouring the precise quantities into a jug.

Yang performed the task with Yiannis Aloimonos and Cornelia Fermuller, who were the two professors of computer science at the University of Maryland. The approach is said to comprise of training a computer system to link specific actions of the robot with video footage portraying the performance of people with various tasks.

 For instance, a recent paper from the group portrayed that a robot can learn how to pick various objects by utilising two differentsystems on observing thousands of instructional YouTube videos wherein one system studies to recognize various object while the other identifies various types of grip.

System of Learning Adopted – Advanced Artificial Neural Network

Observing many YouTube video could be time consuming, however the learning technique seems to be much more efficient than programing a robot in managing various different matters and enabling the robot to handle new object.

The system of learning adopted in gripping work tends to include advanced artificial neural network which has envisaged great progress recently and are now being utilised in several areas of robotics. Researchers are coordinating with many manufacturing companies comprising of electronics business as well as car makers in adapting the technology to be used in factories.

 The companies are looking out for ways to quicken the process wherein engineers reprogram the machines. Yang is of the opinion that at several companies it tends to make a month and a half or more to reprogram a robot. So what would be the current AI potentials that can be used in shortening this span to half?

The project tends to reflect two styles in robotics, while one is to find new approaches in learning and the other is robots working in closeness with people. The Maryland researchers like the other group wishes to connect actions to language in improving the ability of robots to analyse spoken or written instructions.