Caging the Demon

As computers become powerful and solve more problems, the possibility that computers could evolve into a capability that could rise up against us and pose an existential threat is of increasing concern. After reading a recent book on artificial intelligence (AI), Superintelligence, Elon Musk recently said: I think we should be very careful about artificial … Read more

Evolution, Faith and Modernity

Tonight, I just finished Francis Collins’ book “The Language of God” where he lays out the basic facts of genetics and the human genome, denounces Creationism and rejects Intelligent Design theory, rebukes Richard Dawkins, and generally sets a tone for reasonableness between Christians and scientists. This is a lot of disjoint topics, and while he … Read more

Shellshock: Bashing Bash for Fun and Profit

The latest fundamental computer security vulnerability, termed Shellshock, was discovered by a vulnerability researcher Stephane Chazelas (a linux shell expert living in the UK) which allows for arbitrary code execution on linux or mac computers through creating a custom environment variable. If you haven’t already, you need to patch your system(s) and you might be … Read more

Playing with Matched Filters

During my time on the red team, we continually discussed the role of matched filters in everything from GPS to fire control radars. While I’m having a blast at DARPA where I work in cyber, I wanted to review an old topic and put MATLAB’s phased array toolbox to the test. (Yes, radar friends this … Read more

Cryptography

We are swimming in a sea of information. Without encryption this whole operation would be a very public event. Encryption enables our communications to be anonymous or secure and makes e-commerce and private communications possible. Because of this, I registered for Dan Boneth’s cryptography course. At this point, I’ve only watched one lecture, but I … Read more

Gradient Descent

It has been awhile since I’ve studied optimization, but gradient descent is always good to brush up on. Most optimization involves derivatives. Often known as the method of steepest descent, gradient descent works by taking steps proportional to the negative of the gradient of the function at the current point. Mathematically, gradient descent is defined … Read more