Artificial Intelligence

Take your Unity AI game to the next level with xNode. In this tutorial, we boost our FSM-based AI with a graphical user interface, delivering an enhanced development environment.

Ever wonder how game developers deliver entertaining interplay with the non-player characters they create? Learn how to develop them yourself in our finite-state machine tutorial.

Retailers often face supply and demand issues that cause them to miss out on potential sales or tie up a lot of money in overstocked products. In this article, Toptal Data Scientist Ahmed Khaled explains how retailers can boost revenues and cut costs with sales forecasts backed by artificial intelligence.

TensorFlow is one of the leading tools for training deep learning models. Outside that space, it may seem intimidating and unnecessary, but it has many creative uses—like producing highly effective adversarial input for black-box AI systems.

Pre-trained models are making waves in the deep learning world. Using massive pre-training datasets, these NLP models bring previously unheard-of feats of AI within the reach of app developers.

For those working with AI, the future is certainly exciting. At the same time, there is a general sense that AI suffers from one pesky flaw: AI in its current state can be unpredictably unreliable.

IMDb ratings have genre bias: For example, dramas tend to score higher. Removing common feature bias and keeping unique characteristics, it's possible to create a new, refined score based on IMDb information.

Unwanted AI bias is already a widespread problem. Machine learning models can replicate or exacerbate existing biases, often in ways that are not detected until release. So what can be done about it?

Manually gathering information about user-generated data is time-consuming, to say the least. That's why more organizations are turning to automatic sentiment analysis methods—but basic models don't always cut it. In this article, Toptal Freelance Data Scientist Rudolf Eremyan gives an overview of some sentiment analysis gotchas and what can be done to address them.