Imperva have conducted a new survey about the frequency of security alerts that are received by security researchers. According to the results more than 27% of the security teams surveyed receive an average of around 1 million security alerts daily. Since the number of alerts is so massive the IT professionals have started ignoring some of the categories while another 4% of the professionals have turned off their notifications. In order to solve this massive influx of security alerts, the company has developed as software called attack analysis which helps the security analysts to cut through the unnecessary alerts and concentrate on the security vulnerabilities that are critical to the application. The application can scale in any environment like WAP or Hybrid Cloud and uses advanced machine learning algorithms to automate the normally time-consuming process of combining and correlating the application attack events and therefore can reduce a days work into minutes.

Amazon is encouraging us to put listening devices in every room of the house with executives from Amazon saying that Echo assistants don't listen to private conversations, they say the device will start listening to conversations only if the word Alexa was used, this is not always the case as a story from a user in Portland highlights. An Alexa user from Portland, Oregon has installed Echo and Smart bulbs in every room of their house thinking that nothing bad will happen, however when asking Amazon to investigate an issue about Alexa recording a private conversation between her and her husband that was sent to a random number in her address book without her consent. She didn't believe her friend at first, however when her he explained the conversation between her husband she finally believed them. "You sat there talking about hardwood floors." Danielle realised the colleague must have heard everything.

According to industry experts advances within artificial intelligence and automation will wipe out more than 50% of the jobs in the financial sector in the next 10 years however it is going to take some big investments to achieve automation at that scale. James D'Arezzo, CEO of Condusiv Technologies said, "Unless banks deal with the performance issues that AI will cause for ultra-large databases, they will not be able to take the money gained by eliminating positions and spend it on the new services and products they will need in order to stay competitive," he said. He also thinks that while hardware upgrades often solve these problems this comes hand in hand with sometimes inordinate expense with the Tokyo Institute of Technology Global Scientific and Computing Center as an example of this. The centre is on the verge of developing a supercomputer to meet the demands of artificial intelligence and big data applications. At the current cost of hardware, it would take around $50 – $100 Million dollars to build the supercomputer.

According to industry experts advances within artificial intelligence and automation will wipe out more than 50% of the jobs in the financial sector in the next 10 years however it is going to take some big investments to achieve automation at that scale. James D'Arezzo, CEO of Condusiv Technologies said, "Unless banks deal with the performance issues that AI will cause for ultra-large databases, they will not be able to take the money gained by eliminating positions and spend it on the new services and products they will need in order to stay competitive," he said. He also thinks that while hardware upgrades often solve these problems this comes hand in hand with sometimes inordinate expense with the Tokyo Institute of Technology Global Scientific and Computing Center as an example of this. The centre is on the verge of developing a supercomputer to meet the demands of artificial intelligence and big data applications. At the current cost of hardware, it would take around $50 – $100 Million dollars to build the supercomputer.

Users of Facebook from Europe have been reporting that Facebook is sending continuous push notifications to turn on the facial recognition feature. A journalist from Metro named Jimmy Nsubuga has reported that he is getting continuous notifications from Facebook to turn on the facial recognition technology. The company advised that an opt-in option would be pushed to users as part of changes to its terms and conditions within the EU. The company is hoping to convince users to voluntarily allow the controversial tech. Facebook started to use facial recognition back in 2012 as the app started automatically tagging users in photo uploads.

Now, Google has declared that AutoML has defeated the human AI engineers at their own game by setting machine-learning software that's more effective and powerful than the best human-designed systems. An AutoML system recently broke a record for classifying perceptions by their content, scoring 82 percent. While that's a relatively simple task, AutoML also beat the single-built system at a more complex task key to autonomous robots and augmented reality: showing the location of multiple objects in an image. For that task, AutoML scored 43 percent versus the individual-built system's 39 percent. These results are important because even at Google, few people have the needed expertise to build next-generation AI systems.