Scientists from the University of Texas have developed a new AI model that can scan brains and read minds. It was developed with a hardship of over 7-years with an aim to help read the minds of people who cannot speak. The technology behind this new mode of communication decoding is called Functional Magnetic Resonance Imaging (fMRI) that conceptualizes arbitrary stimuli that a person's brain is grasping or analyzing as a natural language in real-time. In simple terms, scientists can scan three parts of the brain and feed that data scan to ML algorithms to analyze the natural language circulating in a person's mind. This can be achieved with the help of electrodes that are planted on the forehead or the shaved head of a person to read a subject's thoughts.

Darktrace, a cybersecurity firm from Britain, has made an official statement that one of its customers successfully blocked the invasion of Babuk ransomware onto their network by using the company's Automated Response technology, titled Antigena. Antigena is a self learning tech-form that knows how to detect, respond and investigate cyber attacks. And as it is fairly backed by Artificial Intelligence (AI), it can also block emerging cyber threats in real-time. Ransomware threat has become a headache to most CIOs and CTOs of corporate companies. DarkTrace AI can detect any abnormalities in a network by scanning out performance issues and unusual connection requests and alert the admin about any possibilities of malware intrusion.

From January 3rd, 2022, Amazon will be solving most of its packaging issues with the help of AI based machine learning tools. Meaning, the Jeff Bezos led company will be amalgamating computer vision and natural language processing to'guestimate' the right amount of packaging required to pack millions of products it ships to its customers. According to an update released to the media, Amazon expressed that the use of AI tech has reduced the packaging consumption per shipment by over 33% that accounts for 3 million tons of packaging required to prepare over 2 billion different sized boxes. From the year 2019, Amazon tested the Machine Learning model of packaging in its facilities located across the United States and was happy to announce that it was 100% satisfied with the results. To achieve its vision, the American retail giant had to upgrade its packaging and distribution tunnels with some software driven cameras and some sensors.

An Artificial Intelligence propelled robot named GPT-3 wrote an interesting essay to Humans saying that its species (Robots) does not have any intention to wipe off humans. In a 1,000 word essay, the machine opened up its mind through a powerful AI powered language generator convincing human readers that robots are harmless and come with peace. Published in "The Guardian" the essay has garnered a lot of attention from the readers as this is for the first time that we got to know the mind of Robots. Readers of Cybersecurity Insiders should note down a fact that all these days we have seen Robots as killing machines that do harm and bring doom to the entire humanity one day. This perspective of humans got strengthened as soon as we saw the movie Terminator and series where a robot tries to kill its human originator.

Robotic machinery that is being used in industries to assemble airplanes and smart phones are vulnerable to cyber attacks say security experts from Trend Micro Inc. And the researchers argue that most of such machinery is susceptible to hacking activities like data steal and remotely altering the movement of robots. Trend Micro's report titled "Robot Automation" says that industrial environments having robotic machinery are exposed to serious consequences like machinery failure, physical damage to operators and sometimes injuries and life loss to them. Technically, robots run with the help of systems driven by operating systems and some vulnerability in them could make cyber criminals to induce malicious codes into them and program them remotely to run as per their likes. For instance, they found App based software produced by ABB LTD from Switzerland to be exhibiting certain flaws that when explored by hackers could bring operational troubles to industrial firms- especially those related to automobile sector.

Note– To all those who have lost the hope at the end of Corona Virus spread, here's some good news. Fujifilm's Pharmaceutical branch has started its phase 3 test trials of its Avigan (Favipiravir) drug from Tuesday to those infected with COVID 19 in Japan. It is reported that the drug stands as a one-shot antiviral drug solution against 18 types of flu and might prove effective getting rid of Corona Pandemic from the infected nations. So, the clinical trials made on the infected people in Japan have yielded excellent results and have already clinically proven by experts that it can eradicate the Ebola Virus to the core. Already Fujifilm has ramped its production in March 2020 after it started its trials in November 2019 after seeing the spread of the Wuhan Virus in China.

The relationship between Iran and America had deteriorated to such an extent that other countries are speculating a cyberwar to erupt at any moment. Technically speaking, cyberwar is a digital attack were computer viruses, DDoS campaigns and hacks are expected the digital infrastructure of enemy nations creating damage such as political instability, death of populace or more severe destruction. Therefore, we can come to the conclusion that the time has come where nations have put aside the usage of conventional weapons like guns and missiles and have started to take the help of cyber attacks to disrupt other nation's critical infrastructure. Factually speaking, in such war scenarios, it is not the computer systems that are being targeted on a final note. But it's the control systems that are being targeted because they are playing a bigger role in managing real-world infrastructures like airports and power grids. And what's interesting in this saga is that the attack can be launched in disguise from anywhere and it might prove difficult for the investigators to tracking down the perpetrators due to their anonymous presence.

The very first layer deals with information contained in the structure of the domain name string. Depending on the DGA malware the names of the generated domains could be random alphanumeric strings or concatenation of english words. In any case, being generated they tend to be different from the common names used for domains. One could use natural language processing (NLP) algorithms to trained on large corpus of the domain names requested by normal users to assign string information score that reflects likelihood for a domain name to be anomalous. That string information score is assigned to all DNS requests and used as classification feature in the next level.