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Materials such as rubber and silicon are being used to create sensors that allow for applications such as detecting micro undulations and calibrating robotic hands. Rubber can be used in order to create a mold that can be placed over a finger, inside of this mold would be multiple strain gauges. The finger mold and sensors could then be placed o…
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do.[1][2][3] "Computer vision is concerned with the automatic extraction, analysis and understandi…
Other forms of ethical challenges, not related to personal biases, are more seen in health care. There are concerns among health care professionals that these systems might not be designed in the public's interest but as income-generating machines. This is especially true in the United States where there is a long-standing ethical dilemma of imp…
In developmental robotics, robot learning algorithms generate their own sequences of learning experiences, also known as a curriculum, to cumulatively acquire new skills through self-guided exploration and social interaction with humans. These robots use guidance mechanisms such as active learning, maturation, motor synergies and imitation. Asso…
In fact, this tool is a genetic engine that you can use in your projects and this tool is presented as an open source and you can participate in its development and this is a prototype.
In the late 1960s, computer vision began at universities which were pioneering artificial intelligence. It was meant to mimic the human visual system, as a stepping stone to endowing robots with intelligent behavior.[11] In 1966, it was believed that this could be achieved through a summer project, by attaching a camera to a computer and having …
In some cases, the greatest weakness in a website’s security system is the people that use it. Social engineering seeks to exploit this weakness. A hacker will convince a website user or administrator to divulge some useful information that helps them exploit the website. There are many forms of social engineering attacks, including: Phishing Us…
Self-learning as a machine learning paradigm was introduced in 1982 along with a neural network capable of self-learning named crossbar adaptive array (CAA).[44] It is a learning with no external rewards and no external teacher advice. The CAA self-learning algorithm computes, in a crossbar fashion, both decisions about actions and emotions (fee…
This hacking technique injects corrupt domain system data into a DNS resolver’s cache to redirect where a website’s traffic is sent. It is often used to send traffic from legitimate websites to malicious websites that contain malware. DNS spoofing can also be used to gather information about the traffic being diverted. The best techniques for pr…
Reinforcement learning is an area of machine learning concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward. Due to its generality, the field is studied in many other disciplines, such as game theory, control theory, operations research, information theory, simulation-based …