Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

When it comes to machine learning, there are some broad concepts and terms that everyone in search should know. We should all know where machine learning is used, and the different types of machine ...

So, you’d like to patent your artificial intelligence (AI). Congratulations, it’s going be a rough one. Broadly speaking, patents can be afforded to systems, apparatuses and processes. So why is ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

Gaming has always pushed technology forward. From the first arcade cabinets to contemporary open worlds, the industry has raised the bar for both software and h ...

Humans have struggled to make truly intelligent machines. Maybe we need to let them get on with it themselves. A little stick figure with a wedge-shaped head shuffles across the screen. It moves in a ...

Automating through machine learning (ML) allowed Amazon.com to predict future demand for millions of products globally in seconds. Leaders at the multinational tech giant successfully reinvented their ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience. Machine learning replaces this with systems that can analyse millions of ...