Computer Aided Engineering Quotes

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GrabCAD is an online community of more than one million mechanical engineers. Hardi Meybaum, a young entrepreneur from Estonia, founded the venture-funded company to serve as a place where mechanical engineers much like him could share their computer-aided design (CAD) 3-D models.
David Meerman Scott (The New Rules of Sales and Service: How to Use Agile Selling, Real-Time Customer Engagement, Big Data, Content, and Storytelling to Grow Your Business)
Python is a mainstream programming language that is commonly used to solve cognitive and mathematical problems. Many Python modules and useful Python libraries, such as IPython, Pandas, SciPy, and others, are most commonly used for these tasks. Usage of Business Applications Python is used by many engineers to assemble and maintain their commercial programs or apps. Python is used by many designers to maintain their web-based company sites. An application that runs on the console Python can be used to create help-based software. IPython, for example, can be used to create a variety of support-based applications. Audio or Video-based Application Programming Python is an excellent programming language for a variety of video and audio projects. Python is used by many professionals to create a variety of media applications. You can do this with the help of cplay, another Python compiler. 3D based Computer-Aided Drafting Applications Python is used by many designers to create 3D-based Computer-Aided Drafting systems. Fandango is a very useful Python-based application that allows you to see all of the capabilities of CAD to expand these types of applications. Applications for Business Python is used by many Python experts to create a variety of apps that can be used in a business. Tryton and Picalo are the most famous applications in this regard.
Elliot Davis (Coding for Beginners: Python: A Step-by-Step Guide to Learning Python Programing with Game and App Development Projects (Learn to Code))
In some ways the beginnings of Israeli high-tech could be traced to one particular failure. In the 1980s, as young people around the world were logging on to their first desktop computers, Israel brought together some of its best engineers to work on an ambitious project: the Lavi fighter jet, a made-in-Israel aircraft and part of the doctrine of self-reliance. A catalyst for groundbreaking technology in avionics and electronics, it proved to be a spectacularly expensive escapade and was shut down in 1987 under intense pressure from the Americans, who preferred Israel to spend their military aid on American aircraft. Hundreds of highly specialized scientists and engineers were released into the Israeli civilian market. The injection of the aforementioned Soviet immigrant engineers in the 1990s boosted the genesis of the start-up phenomenon, encouraged by prescient government support and incentives. The country’s new moniker and brand was minted with the publication in 2009 of a proud, blue-and-white-covered volume titled Start-Up Nation that chronicled what its authors, Dan Senor and Saul Singer, called the story of Israel’s economic miracle. It fast became a bestseller.
Isabel Kershner (The Land of Hope and Fear: Israel's Battle for Its Inner Soul)
Storm’s Fast-Flux and Conficker’s Domain-Flux In 2007, security researchers identified a new technique used by the infamous Storm botnet (Higgins, 2007). The technique, named fast-flux, used domain name service (DNS) records to hide the command and control servers that controlled the Storm botnet. DNS records typically translate a domain name to an IP address. When a DNS server returns a result, it also specifies the TTL that the IP address remains valid for before the host should check again. The attackers behind the Storm botnet changed the DNS records for the command-and-control server rather frequently. In fact, they used 2,000 redundant hosts spread amongst 384 providers in more than 50 countries (Lemos, 2007). The attackers swapped the IP addresses for the command-and-control server frequently and ensured the DNS results returned with a very short TTL. This fast-flux of IP addresses made it difficult for security researchers to identify the command-and-control servers for the botnet and even more difficult to take the servers offline. While fast-flux proved difficult in the takedown of the Storm botnet, a similar technique used the following year aided in the infection of seven million computers in over two hundred countries (Binde et al., 2011). Conficker, the most successful computer worm to date, spread by attacking a vulnerability in the Windows Service Message Block (SMB) protocol. Once infected, the vulnerable machines contacted a command-and-control server for further instructions. Identifying and preventing communication with the command-and-control server proved absolutely necessary for those involved with stopping the attack. However, Conficker generated different domain names every three hours, using the current date and time at UTC. For the third iteration of Conficker, this meant 50,000 domains were generated every three hours. Attackers registered only a handful of these domains to actual IP addresses for the command-and-control servers. This made intercepting and preventing traffic with the command-and-control server very difficult. Because the technique rotated domain names, researchers named it domain-flux. In the following section, we will write some Python scripts to detect fast-flux and domain-flux in the wild to identify attacks.
T.J. O'Connor (Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers)
Loss of Privacy and Self-Direction While loss of privacy may not seem like a serious “survival” hazard, it can defeat one’s efforts to prepare for or deal with threats as an individual. To a true survivalist, survival is more than a biological imperative. If a human is completely observed, monitored, and directed by a system or network, no matter how benign, then he or she is no longer free and therefore has not survived. Technology has evolved to the point where it is using people, rather than being used by people. Those who frequent the internet, carry smartphones, and respond to various online programs are profiled by massive computers to analyze how they think and therefore how they react to various ideas. Human engineering and logarithms can manipulate buying habits, political preferences, social associations, and even emotions. Think about the implications of being wired to systems that have their own agendas. If you dismiss this as simply paranoia, then you are exhibiting typical addictive behavior. This is one of the most insidious and stealthy hazards to humanity.
James C. Jones (150 Survival Secrets: Advice on Survival Kits, Extreme Weather, Rapid Evacuation, Food Storage, Active Shooters, First Aid, and More)
Silicon and Sapiens (The Sonnet) Once upon a time, I put down my soldering iron and picked up the keyboard, for I couldn't afford to sustain my passion for electronics any more. But now that I look back, It was for the best. The world has plenty tech genius, what it lacks is reformer scientist. My inside awareness of machine intricacies has been an aid to my neuroscience. In a world torn between mind and machine, I bridge the shores of silicon and sapiens. Biologists often diss the potential of machine, just like gadgeteers are oblivious to life. Life is a cosmic miracle, machines are a human one, and with added purpose, machines could be the mightiest defense of life.
Abhijit Naskar (World War Human: 100 New Earthling Sonnets (Sonnet Centuries))
learning is currently re-creating the powers of the neocortex, we can assess what AI still needs to achieve to reach human levels, and how we will know when it has. Finally, we’ll turn to how, aided by superhuman AI, we will engineer brain–computer interfaces that vastly expand our neocortices with layers of virtual neurons. This will unlock entirely new modes of thought and ultimately expand our intelligence millions-fold: this is the Singularity.
Ray Kurzweil (The Singularity Is Nearer: When We Merge with AI)