Posts

Showing posts from February, 2022

Can A.I be Creative?

Image
Artificial Intelligence has been gaining popularity over the years due to its contribution to the society. A.I is used to solve complex problems faster compared to humans. These problems include stocks trading bot, shopping recommendations, fraud detection , etc. A.I is capable of doing a lot of interesting stuff but the problem here is that can A.I be creative? But what is creativity in the first place? The Oxford dictionary defines the word, "creativity" as  the use of skill and imagination to produce something new or to produce art. This is where things get tricky!. Can A.I imagine in the first place? Well, the Oxford dictionary defines the word, "imagination"  as  the ability to create pictures in your mind. Looking at this  definition, it would be possible for A.I to imagine since it can "randomly" combine image datasets to form a single picture.   Credit: Google Images  Now let's move back the main question which asks if A.I can be creative. Sinc

AI toys and the impact on children

Image
Source: Humanium Nowadays, with the rapid development of technology, toys involving technology are increasingly popular and will become even more popular in the future. In fact, in this article, according to a report by Grand View Research, the global smart toys market size is expected to reach 34.13 billion USD by 2028. The more popular AI toys are, the more concerns they raise. Even though AI toys bring positive benefits to children, there are significant concerns about the impact of AI toys on children. In this blog, I will discuss the benefits of AI toys and its impact on children. According to the article “ Are AI toys ethical? ” by Olivia Tambini , an AI toy is a toy which can “learn, adjust the way it interacts with the user, react to external stimuli and behave according to pre-programmed patterns”. Some intelligent features of AI toys may include using voice recognition or touch sensors. According to the article, the exposure to AI toys is beneficial to children as it prepare

Racing with AI: With Great Speed Comes Great Responsibility

Image
Auto racing has existed ever since the second car was built, and it’s become a staple of the sports landscape, from NASCAR and IndyCar here in the United States, to Formula 1 overseas. While motorsports are team sports, with numerous engineers, mechanics, and other personnel employed to work on each vehicle, the drivers are the stars of the show. They, more than anyone else involved, can spell the difference between victory and defeat. A simple lapse in judgment can lead to a horrifying incident. While motorsports have become incredibly safe in the modern era, these drivers still put life and limb on the line every time they strap in prior to a race.           Some, then, have wondered, “What if we took the driver out of the equation?”. The answer, necessarily, is self-driving race cars. Several racing series have emerged to make that happen. One, known as Roborace, has constructed a fleet of race cars that race themselves, as Craig Scarborough discusses in this article in Motorsport

AI Able to Predict the Level of Recovery Following a Stroke

Image
     AI Able to Predict the Level of Recovery Following a Stroke Background information: What is a Neural Network? What is Logistic Regression ? What is Random Forest? _________________________________________________________________________________           In this article: AI to Predict Rehab Outcomes in Stroke Patients , computer scientists have developed a software program using a Deep Neural Network (DNN) model, logistic regression (LR), and random forest (RF) with the ability to predict motor function in stroke patients 6 months following a stroke. Although it is a primary research article, I do recommend that you give it a read as it provides a good primary example of how AI is being designed to serve the medical field.      Scientists analyzed the data of 1,056 stroke patients aged 43-72 between January 2003 and January 2020 without other health complications. Using Python , TensorFlow 2.3.0, and sci-kit-learn toolkit 0.23.2, these machine learning (ML) algorithms were able

Welcome!

Image
Welcome to our class A.I. blog! Here you will find non-artificially intelligent commentary about recent developments in artificial intelligence, by the students from  CSC 320: Principles of Artificial Intelligence , from Spring Semester 2021-22 at Augustana College.