In the year 2020, Tokyo will essentially be breaking a tech record when they become the very first Olympics to use facial recognition technology in an attempt to improve security. On Tuesday, the organizing committee announced that Tokyo will be utilizing the tech for indentifying officials, athletes, media, and staff at the 2020 Paralympics and Olympics Games. It will, however, not be utilized in the identification of any spectators who attend the events. The utilization of the facial recognition technology is an effort to both increase security and hasten the entrance of authorized individuals. The Japanese IT conglomerate, NEC Corp, is currently developing the system.

TensorFlow artificial intelligence framework is coming to Raspberry Pi. The developers were able to take advantage of the Tensor Flow in numerous ways to develop deep learning models and finally, the developers at Google were finally able to port the Tensorflow to Raspberry PI to develop the models on cheap hardware to perform things like image classification. Tensorflow AI can be used with Windows, Android and macOS but it would be difficult to find cheaper hardware than a Raspberry PI to run the ML framework. The latest release of the TensorFlow framework will be straightforward for the developers who are using Python as they can directly download the binaries from PIP from their Raspberry Pi and the users who are using the Raspberry Pi Foundation's Debian Stretch can directly installed the TensorFlow in their machines with two commands. Raspberry PI has total sales of 14 million units last year which explains the popularity of the developer board.

An AI has defeated China's top doctors when competing on detection of a brain tumors and predicting the hematoma expansion. The system defeated a team of doctors who were top 15 in the nation. The AI is named BioMind and it was developed by the Artificial Intelligence Research Centre for Neurological Disorders at Tiantan Hospital in Beijing. BioMind was correct 87% of the time while the doctors have reached 66% accuracy. While the AI took just 15 minutes to find 225 cases the doctors took double the time.

As per Israeli authorities, no major damage has been done so far, but this could be the beginning of an even more serious hacking attempt. However, many also question if Hamas has the means to run any sort of a hacking campaign against Israel due to the condition of Palestine.

When the Microsoft AI chatbot Tay was turned into a racist and genocidal application the company had to shut down the chatbot within 24 hours and so it is more than speculation to presume that an AI can be turned'evil'. A group of researchers from the Massachusetts Institute of Technology (MIT) has taken this one step further and corrupted an AI by using some biased data and whom they decided to name Norman a homage to the villain in Alfred Hitchcock's psycho. The team pulled the images and many quotes from an infamous subreddit which is dedicated to death and violence, in doing so they have incorporated them into how objects could be described. The team then gave the images of Rorschach inkblots to analyse the AIs responses and also compared them to the standard image captioning neural network, the results of which were very alarming. For example when the AI interpreted an open umbrella Norman saw a wife screaming in grief as her husband died.

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.