Dolly: Dolly occurs when the user’s point of view gets closer to (or further from) a UI element. Imagine a person with a

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published one of dozens of stories detailing the millennial move into the stock market. They were doing — no doubt — some dumb things, such as day trading, chasing momentum stocks, and speculating on bankrupt or near-bankrupt stocks:

Essentially, I made a script that asked: ask/force. The ask option created a UAC prompt that elevated the script and executed a command of the user’s choosing; the force option used the exploit to do the same without any UAC prompt.

In this article, you’ll learn what Deep Learning is. It will answer two basic questions that come up a lot when people hear me talk enthusiastically about Artificial Intelligence. Why is Deep Learning “deep” and how is it related to the human brain?

In an attempt to combat this, I used PyInstaller to compile the Python script into an executable binary, which surprisingly prevented windows defender from recognising it as harmful.

In 2017, DZone wrote a really cool article about a windows exploit that a German student discovered that takes advantage of the trusted binary ‘fodhelper.exe’ that is a part of windows. It is located in System32 and is signed by Microsoft, so when you run it, the UAC prompt (pictured below), which is normally required to run a program as an administrator, is not required.

Interactive experiences demand motion in all its spry and subtle forms. When the principles of motion design are upheld, even the most rudimentary UI elements become sophisticated agents of human communication. When the principles are ignored, movement embodies characteristics not found in the natural world. No amount of aesthetic splendor can overcome the resulting clumsiness.

The relationship between motion design and the UX of digital products is rapidly maturing. A principled approach to motion prevents undue reliance on the fleeting utility of trends, tools, and techniques. Better still, it spans the divide between the abstract motion of elements on 2D screens and the perception of movement in a 3D world.

In my opinion, a lot of the information you can find on the internet these days about this topic is either very mathematical, very technical, or just completely wrong. The basic idea behind Deep Learning is actually pretty simple and intuitive! Are you curious?

In traditional Machine Learning, this is a simple problem with an input (a picture) and output layer (cat or dog). Because it has a direct mapping from input to output, it basically predicts a function that separates all cats and dogs. Historically, Machine Learning did this very well by extracting characteristics (feature engineering) like the length of the cat, hair, color, etc. Instead of using the raw image, we used these features to predict the cat or dog. You can imagine, this is quite a task.

The UX Collective donates US$1 for each article published on our platform. This story contributed to Bay Area Black Designers: a professional development community for Black people who are digital designers and researchers in the San Francisco Bay Area. By joining together in community, members share inspiration, connection, peer mentorship, professional development, resources, feedback, support, and resilience. Silence against systemic racism is not an option. Build the design community you believe in.

As the amount of data increases, predicting an outcome becomes increasingly more difficult. The difference between Machine Learning and Deep Learning is the ability to detect multiple patterns. It involves layers, hence it becomes “deep”.

Zoom: With zoom, the user’s point of view and the UI element remain fixed, but the element increases (or decreases) in size within the user’s screen. Now imagine that the person stays put and uses the camera’s zoom feature to make the flower appear larger.

Deep Learning is a subfield of Machine Learning. Given a certain input, we predict an output based on the statistics we derive from data. Sounds vague, maybe, but it will become clear soon with an example.

Since it is a single executable file, this could be implemented as a payload in a Microsoft Word document exploit or similar styled attack and easily have access to an entire system.

Since it is a single executable file, this could be implemented as a payload in a Microsoft Word document exploit or similar styled attack and easily have access to an entire system.