How to Invent With AI Ethically?
AI is impacting the society at all levels. It is becoming increasingly influential in sensitive applications such as hiring, surveillance and financing, to name a few. Hence the importance of ethical considerations in AI. Let’s look at a few examples. Previous Next Download as PDF
How Can the Drawings Look so Real?
The Generative Adversarial Network (GAN) is a type of neural network. While a typical neural network predicts, a GAN creates! One of its most common applications today is generating images that look real. And while there are numerous ways we can use GAN for good, it can just as easily be exploited for malicious purposes. […]
How Does the Machine Sense the World?
With the coming of Internet of Things (IoT), today there billions of connected devices around us. These devices provide an abundant source of data that we can use for machine learning. Let’s look at the kinds of sensors that we see today. Previous Next Download as PDF
How to Make a Machine That Remembers?
The Recurrent Neural Networks (RNN) is a type of neural network. A typical neural network can’t remember a long sequence of data, but an RNN can. This makes RNN useful for machine learning tasks that look at patterns over time, such as generating text, making music or predicting sales. Let’s see how it works. Also, […]
How to Make a Machine That Sees?
The Convolutional Neural Networks (CNN) is a type of neural network. It has many uses in machine learning, but it is particularly useful in tasks involving images. The CNN gives the neural network the ability to ‘see’ images (or even videos) so it can gather all the useful information about them. Let’s see how it […]
How to Build Machines That are Safe?
One key ethical consideration when building an AI is how safe it will be. But this can be quite tricky, as it’s not always obvious what dangers the AI might unintentionally pose, particularly further into the future. Because of this, having a safety-first mindset when building AIs is super important. Previous Next When Should the […]
How to Succeed Together in AI?
Success in AI very much depends on having two things: skilled talent and a huge amount of processing power. Because of this, as AI advances, it threatens to create an ever-widening gap between those with the means to succeed and those without. Let’s design a world where the wealth generated in AI is spread around […]
Why Must We Take Good Care of Data?
When designing AI applications, sometimes we might encounter data that are private and personal. So, be sure to respect and protect the privacy of these kinds of data at all costs. Previous Next Can the Machine Be Biased?: Link Download as PDF
How to Talk to the Machine?
Inventing with AI means needing to know how to talk to the machine, so we can give it instructions to build whatever we can imagine. We talk to the machine through programming languages. We use these languages to ‘code’ the instructions for the machine. That’s why, as we enter this age of innovation, learning how to […]
How Do Numbers Look Like to the Machine?
The computer is a digital system, and because of that, only understands binary numbers. Binary numbers have only ones and zeros. Computers turn data into binary numbers, a trick that lets us do many cool things with the data. Let’s understand what are binary numbers. Previous Next How Does the Machine Understand Data?: Link Download […]