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In July 2017, during an investigation, suspicious DNS requests were identified in a partnerrsquo;s network.

The source of the queries was a software package produced by NetSarang. Our analysis showed that recent versions of the software had been surreptitiously modified to include an encrypted payload that could be remotely activated by a knowledgeable attacker.
One of the fastest growing and most discussed segments in technology today is artificial intelligence (AI).

The exponential increase in computing power in the last few decades enabled an explosion in machine learning and deep learning development across industries, and compute architectures that start to look and function like a human brain.

To accomplish this, we need three things: large data sets to process and learn from; compute power and neural networks to process those large data sets; and personalization through algorithms that learn and adjust quickly and accordingly.AI will transform the world and will touch almost every industry.
In healthcare, for example, Penn Medicine developed a predictive solution using machine learning and AI approaches to address heart failure. Using a data science detection algorithm, Penn Medicine has said theyrsquo;ve identified ~20 percent more patients in their hospitals who could benefit from heart failure prevention services*.To read this article in full or to leave a comment, please click here
For less high-stakes uses, Send offers reasonable security and privacy assurances.
DAILY VIDEO: Microsoft's courts Hollywood with secure media cloud services; Facebook AI experiment shutdown holds lessons for IT industry; Privacy rights group wants FTC to probe Google tracking algorithm; and there's more.
DAILY VIDEO: Microsoft's courts Hollywood with secure media cloud services; Facebook AI experiment shutdown holds lessons for IT industry; Privacy rights group wants FTC to probe Google tracking algorithm; and there's more.
Today, a dangerous new trend is emerging: steganography is increasingly being used by actors creating malware and cyber-espionage tools. Most modern anti-malware solutions provide little, if any, protection from steganography, while any carrier in which a payload can be secretly carried poses a potential threat.
"Consumers cannot easily avoid Googlersquo;s tracking of their in-store purchase behavior."
UKrsquo;s first flatmate matching site helps flatsharers find better matches based on compatibility and living habits.Seed round was oversubscribed with initial target of £250k being surpassed.Impressive panel of investors have backed Ideal Flatmate.Post-money valuation of £1,625,000.Monday 24th July: Ideal Flatmate, the UKrsquo;s first algorithm based flatmate matchmaker has closed its seed funding round, taking total investment into the platform up to £500k.The platform, designed in collaboration with Cambridge professors, is based on an algorithm similar... Source: RealWire
The first half of 2017 began with two intriguing ransomware events, both partly enabled by wormable exploit technology dumped by a group calling themselves “The ShadowBrokersrdquo;.

These WannaCry and ExPetr ransomware events are the biggest in the sense that they spread the quickest and most effectively of known ransomware to date.
Google has a new machine-learning algorithm it uses to compare new apps to known secure apps, improving the way it classifies submissions to Google Play.
Magala falls into the category of Trojan Clickers that imitate a user click on a particular webpage, thus boosting advertisement click counts.
Itrsquo;s worth pointing out that Magala doesnrsquo;t actually affect the user, other than consuming some of the infected computerrsquo;s resources.

The main victims are those paying for the advertising.
An algorithm is using government data to tell those from low socioeconomic backgrounds their likelihood of completing university, but privacy experts say it could be utilised for early intervention instead of discouragement.