I’ll warn you right off the bat, this article gets pretty conceptual, but sometimes it helps to look at things from a new perspective. When we test our strength gains by maxing out in the gym what we are essentially… Continue Reading →
One commonly known tendency of humans is that we are often more afraid of loss than we are motivated by the possibility of gain. While this feature of humans often works in our favor, there are many times when it… Continue Reading →
This is the machine learning python program that I created to model sunsets and tweet a daily sunset prediction based on the current weather metrics. The following three functions are to collect location and contact info for first time users…. Continue Reading →
If you’ve ever done SEO research or tried to coming up with content ideas, you how useful Google Trends can be when it comes to determining what people are interested in your niche. I was making SEO trend reports at… Continue Reading →
I remember back in University my Psych professor was explaining the categories of human needs, among which is the need for affiliation. He went on to mention that the counterpart of affiliation has become more prevalent over the past few… Continue Reading →
What is Altruism? A quick google search for altruism and you would find it defined as, “the unselfish regard for or devotion to the welfare of others.” In other words, altruism is the idea that someone can do something for another… Continue Reading →
This is a program that I build to scrape post data from LinkedIn pages. It currently extracts the date, media type, text, like count, comment count, share count, and any media links. Let’s get into this.. Required Python Packages and… Continue Reading →
This is the code I wrote to scrape tweets from Twitter with python through the Twitter Search (Rest) API. I designed it to search twitter for various keywords tweeted by users and return the result in table. Introducing this program… Continue Reading →
“Here in my Garage, just bought this new Lamborghini here…” You may recognize this line from the infamous Tai Lopez advertisement where he shows off his cars and books before instructing you to visit his website. Although the ad has… Continue Reading →
When we watch movies, there is usually one character that catches our attention. You may admire or even imagine yourself as him or her. Let me ask you: What are the common traits of these characters? Chances are these characters… Continue Reading →
My main strength goal in 2018 was to increase my deadlift by 100 pounds and finally obtain a 600-pound deadlift. I started my journey with a deadlifting PR of 500 pounds in January and hit many minor personal records along… Continue Reading →
Anytime there is a storm or some other disaster I often hear the mention of price gouging. Whether discussed on the local news or Facebook comments, price gouging is almost always portrayed in a negative light. What is Price Gouging? Price gouging… Continue Reading →
Understanding the complexities of graph theory can seem daunting. However, recent developments, particularly surrounding the concept of fading numbers and rainbow neighbourhoods, reveal fascinating insights into chromatic colouring in graphs. In this article, we will dissect the research conducted by… Continue Reading →
In the fascinating world of computer science, understanding the complexities of algorithms and their computational limits is paramount. Recently, the research article “On First-order Cons-free Term Rewriting and PTIME” by Cynthia Kop dives deep into the relationship between first-order cons-free… Continue Reading →
In the fast-evolving landscape of artificial intelligence and machine learning, one of the most pressing challenges is adapting models to operate effectively in new and unseen environments. This need has led to innovative strategies like the Cycle-Consistent Adversarial Domain Adaptation,… Continue Reading →
In the ever-evolving world of machine learning, specifically deep learning, performance and energy efficiency are paramount. Traditional approaches to training deep neural networks have relied heavily on the 32-bit floating point format. However, recent research has pushed the boundaries of… Continue Reading →
What is the DDD17 Dataset? The DDD17 dataset represents a significant leap in the realm of autonomous driving, serving as the first open dataset of annotated DAVIS driving recordings. Essentially, it combines the capabilities of dynamic vision sensors (DVS) and… Continue Reading →
In the ever-evolving field of quantum physics, innovative techniques for manipulating particles are at the forefront of scientific research. One such approach is described in the fascinating study titled “Quantum Catcher: Trapping and cooling particles using a moving atom diode… Continue Reading →
In the fields of statistics and computer science, research continues to evolve, and one emerging area is the notion of space-filling designs for computer simulation experiments. A recent study by Chang-Han Rhee, Enlu Zhou, and Peng Qiu delves into this… Continue Reading →
Location-aware applications are becoming increasingly essential in our daily lives, from navigation apps to location-based services. However, traditional satellite-based localization systems, like GPS, often face significant limitations in urban environments and indoor settings, rendering them less reliable than many would… Continue Reading →
Neural networks have increasingly become a cornerstone of modern machine learning, particularly in deep learning applications. While we continue to see success in real-world scenarios, scientific inquiries into their underlying mechanics are essential for future improvements. A recent paper titled… Continue Reading →
In the age of renewable energy and smart technology, we find ourselves on the cusp of a revolutionary transformation in how we manage power distribution and consumption. This shift is not merely about using renewable sources like solar panels; it’s… Continue Reading →
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