CSC 320 A.I. Blog Spring 2022

  Can AI do your homework ?   When we were young, all of us wished that one day we can have a robot that does our homework for us, with simple click, all of your assignments are done and you get to play video games all day. Well that's not a dream anymore, thanks to AI which refers to artificial intelligence. AI has reached a point where it is capable of doing some of the things that human beings can do. Advancements in technology are enabling computers to think, reason and answer questions like never before. Yet, most people still have reservations about whether or not AI can complete something as complex as homework assignments. The first step to completing any assignment is finding resources that will be able to answer your questions or help you get started on the work you're doing. Thanks to all the resources and libraries the internet has, it's more suited for AI to find solutions to homework problems that are not easy for human beings Nowadays, there exist AI that doe

    Major League Baseball (MLB) is the longest running professional sports league in America dating back to 1876. Trying to hold on to its "old-school" image has been a priority, however, the game is no stranger to innovation as it has had to do so to maintain relevance over the past 135 years. According to chicagostylesports.com , it appears now that MLB is on the verge of its latest major innovation. An innovation that will, for the first time ever, merge the old-school ideals of traditional baseball with the new-school artificial intelligence information that is seeing more and more use in sports as we improve our understanding of the technology. I present to you: The Robot Umpire (or RoboUmp for short). Photo Source: Chicagostylesports.com     The image shown above is, of course, completely satirical in nature. MLB is not at all concerned with replacing home plate umpires with actual robots. As a matter of fact, the game would "look" the exact same as it does no

The process of predicting and monitoring Earthquakes in cities is crucial and a challenging task due to the strong anthropogenic noise inherent to urban seismic recordings. And an unexpected earthquakes will not allow the people to have enough time to evacuate and that will lead to the lost of millions of lives, not to mention the destruction of billion of dollars of infrastructures. Understanding the potential risks, the researchers from Stanford have found a way to get a clear signal in order to give a better prediction. They have created an Algorithm called UrbanDenoiser and you can read more in this article: https://www.science.org/doi/10.1126/sciadv.abl3564. The idea is to filtering out background seismic noise can it can boost the overall signal quality and recover signals that may have previously too weak to register.  FIG 1: Los Angeles Basin and Long Beach dense nodal deployment.   In figure 1 above, you can see how they set up one of the experiments which include 2 maps A and

     For those of you who aren't aware of what ASD (or Autism) is, it's a developmental condition that affects a person's social skills, communication, and relationships . And as of today the way to diagnose ASD is to take a series of tests that involve testing the areas that ASD affects. Every clinician tests kids differently, though there are some more standardized tests, and the process is long and arduous for both parents and kids. Representation of ASD     However, a new Stanford AI has shown progress in what could be a new way of diagnosing ASD in a definitive manner. The AI uses fMRI scans can detect the ASD "fingerprint" in the brain. The initial study had a sample size of about 1,100 brain scans and from them, the AI was able to correctly identify the scans that were people who were clinically diagnosed with ASD with about 82% accuracy . This is one of the first points of evidence for a definitive biomarker for ASD and which once acquired will allow for

One of the most outstanding questions in the Artificial Intelligence field is how robots can help humans to automatize repetitive tasks and tedious work. We, as humans, love pizza, but we do not always have the time (nor the skills) to make one, so… can robots make (good) pizza for us? Well… researchers at MIT think so!   Pizza Dough   Nowadays, more and more companies and higher-education institutions are investing vast amounts of resources in developing Artificial Intelligence (AI) systems and robots. Companies such as Boston Dynamics, Kawasaki, Google, and Zebra have spent billions of dollars on developing cutting-edge robotic systems. Additionally, educational institutions such as MIT, the University of Pennsylvania, and the University of Tokyo are currently researching novel AI algorithms and techniques. Researchers are working on designing robots that can adapt to mutable environments and challenging situations. More and more engineers and computer science students are specializi