Anti-Virus Neural Network Should Catch More Malware

A small adjustment to malware can cause the virus threat is no longer detected, but an Israeli company claims to have found the solution: artificial neural networks. The neural networks to analyze the properties of millions of malware instances and clean files, and so learned to recognize the characteristics of malware.

The approach should ensure that the virus scanner of the company is better able to detect modified versions of malware that is missed by traditional anti-virus software. Deep learning, such as the approach is called, consists of training of a large network that consists of simulated neurons and synapses to get as complex patterns from the data provided. The intention is that the network can recognize the end of itself completely new ones.

The Israeli Deep Instinct says to train their own neural network with a large number of files and settings. A time- and computing-intensive process, which runs on a cluster of GPUs. According to founder and CTO Eli David can own the solution 20% more malware detection than existing solutions. So it can tell whether a file appears sufficient to existing malware makes it suspicious, says MIT Technology Review.

A small adjustment or particular string in the code is therefore no longer enough to deceive the virus. According to Professor George Cybenko the British Dartmouth College is the idea of ​​neural networks to find malware is not new, but gives the appearance of deep learning possible for renewed interest. He argues that the promised results must first be tested. In addition, malware authors are very persistent. "If there is a breakthrough, they will do research and come with a new approach," he warns.

Gartner: Mandatory Fitness Trackers And Robot Managers In 2018

In three years will be required two million workers by their employers to wear a fitness tracker and three million employees will be controlled by robot managers. That predicts Gartner. The market researcher has ten predictions made ​​which should come over the next five years.

One of the predictions is that more than 3 million workers in 2018 are controlled by a "robo-boss". These systems will increasingly take decisions, which previously could only be taken by human managers. For example, robots progress and performance of the staff will keep an eye on. Will continue over three years two million workers are required to wear a fitness tracker. It mainly involves dangerous or physically demanding occupations such as police officers or firefighters.

Cloud Security

Gartner further states that in 2020 95% of the security issues with cloud users themselves is due. According to market researcher safety is still the main reason to avoid the use of public cloud services. However, only a small proportion of security incidents would be the responsibility of the cloud provider. The safe use of the cloud would increasingly require responsibility and investment of the cloud user.

Digital vandalism

Another prediction relates to digital vandalism of smart buildings. In 2018, 20% of smart buildings will have been for you to gain. Due to lack of security will vandals example could adjust light dishes, but also can convert entire buildings in the dark. Digital vandalism should be viewed as a nuisance by Gartner rather than a threat. Yet the economic may have health and safety implications, according to the market researcher.

Stephen Hawking Fears Military Deployment Artificial Intelligence

Stephen Hawking, Elon Musk, Steve Wozniak, and many other eminent researchers and scientists have an open letter published and signed in which they warn about the military use of artificial intelligence. According to experts, artificial intelligence reaches a point where the use of such systems within a few years is a reality.

If it is mentioned both advantages and disadvantages to the use of artificial intelligence by the army. The replacement of human soldiers by robots could reduce the number of human victims, but can on the other hand, the threshold to start a war decrease. The experts fear that a global competition arises in the development of artificial intelligence for military purposes.

Once a military world power will develop artificial intelligent weapons others will follow. Autonomous weapons will therefore be the Kalashnikovs tomorrow, according to the experts. Unlike nuclear weapons autonomous weapons would be easy to produce and do not require expensive materials. It would also only a matter of time before they get into the hands of terrorists, dictators and warlords.

Autonomous weapons, according to the experts also ideal for conducting attacks, destabilise countries, suppressing the population and the selective killing of ethnic groups. Therefore, a military race in artificial intelligence is not in the interest of humanity, so they warn. The experts conclude the letter off by saying that artificial intelligence has great potential for humanity, but that this is not militarily, and therefore should be banned in an autonomous weapons.

Linux Developer Not Afraid Of Artificial Intelligence

The developer of the Linux kernel Linus Torvalds is not afraid of artificial intelligence (AI), he said in an interview with readers of the news site Slashdot let you know. In recent months, told several celebrities, including Bill Gates , Steve Wozniak and Elon Musk that they are very concerned about creating artificial intelligence.

Musk even called it the greatest threat to humanity. He therefore decided $ 10 million to allocate to hold artificial intelligence "useful". During the interview on Slashdot Torvalds was asked whether he was also worried about AI. "I just do not see why I should be afraid," he replied. According to Torvalds, the man will eventually create artificial intelligence, but it will need training. It will not be a rules-based program. In that regard, it will Artificial Intelligence, therefore, not as "reliable" as is the case with traditional computers, notes the Linux developer.

This makes it of interest to him, but also more difficult to use. Torvalds expects more targeted artificial intelligence, or AI that people will like. The " singularity , "where computers are getting smarter and create new models that are smarter again until they are more intelligent than humans, he designates as science fiction. "It's science fiction, and not even very good."Instead of infinite exponential growth, he expects more something that will resemble Moore's Law.