Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

Companies like Bausch + Lomb and Prose are using AI in manufacturing to better predict machinery issues and increase ...

Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...

Let’s look back at the surprisingly long history of AI innovation in ad tech, and where I see automation taking us next.

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

A new tool, for example, is a program called Seek and Destroy, which uses drones, satellite data and statistical algorithms ...

A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture.

Notifications You must be signed in to change notification settings Deep neural networks are powerful and popular algorithms in this era. Understanding the architecture and how neural networks learn ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Google is testing a machine learning-powered tech in the U.S. to determine the age of users and filter content across all its products accordingly. The company said it will consider data from Google ...