June 3: Self Driving Cars

How should a self driving car react when its passenger is at risk.

In "The ethical dilemma of self driving cars - Patrick Lin" linked below by TED-Ed poses the question if you were a programmer deciding what to crash into between an obstacle which has a high likely hood of death to the rider of the self driving car, a motorcycle which would most likely kill its rider, and a SUV which is a middle ground between the two.

I believe that there is one really important detail that needs to be considered, who is consenting to self driving cars being on the road? It isn't the motorcyclist and it isn't the person in the SUV. The only people who has actually agreed to let a AI on the road is the company that made the car and the people riding in it. This leads to another question is it ok to decide that you are going to risk other people's lives to protect your own. I don't believe that it is and thus I believe that the self driving car should run in to the obstacle because it's rider and designer does not have have the right to run in to anything else.

I do not believe that this is the choice the company's will make. They are trying to maximize their profits and a car that is safer for the driver sells more then one that is ready to sacrifice them.

"The ethical dilemma of self driving cars - Patrick Lin" - TED-Ed

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June 18: Dr Schuman's Talk

Neuromorphic AI Neuromorphic AI use neurol networks based off of the human brain to minimize energy cost in computing. Dr. Schuman's research group has built a robot car that they are using neuromorphic AI to lower the energy cost of. Research Opportunities The most interesting part about her talk to me was the fact that you could do research as a high schooler. Her group does research in the aforementioned field of Neuromorphic AI. She does research over the academic school year and over the summer both of which are in person and online. I want to do research in to computer science as a career path so I am really hoping to join the group for this upcoming school year.

June 17: Visualization and AI

Visualization We worked on data visualization over the last 2 class days. Below was the visualization I made to make McDonalds sales make more sense at a glance. Below are the total sales, profit, and number of customers along with sales by country, costumer satisfaction and sales trends. I have found that just looking at the numbers directly usually makes more sense to me then a bunch of fancy pie charts and maps but I can see how they would be useful. It is definitely really helpful for showing off numbers to those who need to get it at a glance or did not work closely with the data. AI AI or Artificial intelligence is a really bad name for what is essentially a bunch of statistics. For example we used it to guess who would have survived and who would have died on the Titanic. To do this we got a list of training data which is a bunch of details about people on the ship and whether or not they survived. The code takes that data and uses it to construc...

Chat Bots

I love knock knock jokes. They are horrible in every way and very fun to tell. There is one thing better then telling knock knock jokes, making a bot tell knock knock jokes for you. What is a Chat Bot? A chat bot is a very simple program that Chats. It moves along a tree of options called a flow giving you choices along the way. When you choose something it gives you some more information and more options then asks you something else. My Bot As you might have guessed I made a bot that tells Knock Knock jokes. Below are two different versions one made using ChatFuel and the other in python. My python bot asks if you want to here a joke then tells one to you but you have to be very specific in your response or it breaks. It only knows one joke because I was trying to make it quickly so I could move on to the next bot. My second wonderful bot knows not one, not two, not three, not four, not five, but six full knock ...

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