In the past few months, the internet has witnessed an impressive array of demos powered by GPT-3, the latest language model released by OpenAI. From

What makes the machine intelligent? What does it need to become intelligent? How is the machine similar, or different, from humans? Previous Next Download as

Ever wondered how does an AI know how to generate text, answer questions or do other impressive language tasks? Let’s look at Natural Language Processing

Let’s talk about machine learning.  Today, it is the technique at the heart of Artificial Intelligence (AI). According to a McKinsey report, by 2030, AI

If you an educator or parent looking to get your feet wet with data science, machine learning and AI, consider getting this book 🙂 You

Have you heard of machine learning but not sure how to make sense of it? Let’s understand machine learning through a simple example of image

We have seen how the machine is good at generating original text. But what else can the machine do with language? It turns out, the

Consuming digital and social media is fine if we have control over what and how much we consume. But once we lose that control, it

Machine learning systems are prone to bias, coming from the data used to train them. This can cause many kinds of issues as the machine

The machine can learn in many different ways. These are called algorithms, which are designed by humans. The neural network is becoming an increasingly popular

The last decade has seen a tremendous amount of data created, coming from new kinds of sources that never existed before. This abundance of data

We have seen how abundant data has become. This opens up a whole new set of possibilities for innovation. But with data coming in all

Computer vision is the machine’s ability to make sense of images and videos. It opens up the path to many exciting applications with the potential

Machine learning can be grouped into three main types. They differ in the way the machine learns. Here, we will look at the first one,

Machine learning can be grouped into three main types. They differ in the way the machine learns. Here, we will look at the second one,

Machine learning can be grouped into three main types. They differ in the way the machine learns. Here, we will look at the third one,

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

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

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

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

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

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

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,

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

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.

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

Machine learning is powered by its algorithms. Algorithms extract patterns from data and make predictions or decisions based on these patterns. There are many types

Machine learning systems are prone to bias, coming from the data used to train them. This can cause many kinds of issues as the machine

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,

We have seen how the machine is good at generating original text. But what else can the machine do with language? It turns out, the machine

Computer vision is the machine’s ability to make sense of images and videos. It opens up the path to many exciting applications with the potential

The machine can learn in many different ways. These are called algorithms, which are designed by humans. The neural network is becoming an increasingly popular