Top Artificial Intelligence Books to Read in 2018

1. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and...

Top Artificial Intelligence Influencers To Follow in 2020

Yoshua Bengio: Yoshua Bengio OCFRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He was a co-recipient of...
Artificial Intelligence Trends

Understanding The Artificial Intelligence Trends in 2018

The level of technological advancement and adoption of Artificial Intelligence in different business industries is incredible. Every firm is striving to integrate machine learning...

The New AI Program that Can Create New Outfits

Is artificial intelligence finally finding a place in the fashion industry? If recent research done by a team of researchers from the...

7 Applications of IoT in Healthcare

The healthcare industry is experiencing a number of changes to its use of technology and the Internet of things. The nature of the Internet...

Researchers Introduce A Deep Learning Framework For Drug Repurposing

What is Drug repurposing? Drug repurposing involves investigating existing drugs for new therapeutic purposes. It is a useful approach...

Google’s first AI Gift for Africa; An AI Lab.

Ghana being the growing center for technology advancements in Africa, received the first gift from the internet god “Google” as an Artificial...

Logistic Regression With A Real-World Example in Python

In this tutorial, You’ll learn Logistic Regression. Here you’ll know what exactly is Logistic Regression and you'll also see an Example...

Facebook AI Releases KILT, A New Benchmark For Knowledge-Intensive NLP Tasks

AI researchers have made significant advancements in building models that can generate text that mimic the natural language. State-of-the-art technology performs so...

Introduction to GANs (Generative Adversarial Networks)

Generative Adversarial Networks, or GANs, belong to generative models, which create new data instances that resemble the training data. GANs are algorithmic...
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