Latest

Computer vision models have exploded in recent years. From Google’s self-driving cars and Tesla’s autopilot mode to Amazon’s Virtual Mirror, computer vision has transformed the face of modern technology. But machine learning image processing isn’t as easy as it may seem.  Training and validating computer vision

Artificial intelligence has transformed industries. From retail to agriculture, high-precision algorithms drive productivity and better decision-making. But how does it work? What enables deep learning algorithms to understand our day-to-day business operations better than we do? To answer this question, we need to talk about a technique known as data

The ultimate goal of technology has always been to mimic the human brain. The rapidly expanding field of artificial intelligence aims to do just that. But what factors allow AI to make sense of the world accurately? To answer that question, we need to discuss machine learning model performance. Machine

In the world of machine learning, data is king. But data in its original form is unusable. That’s why more than 80% of each AI project involves the collection, organization, and annotation of data. The “race to usable data” is a reality for every AI team — and, for many,

Artificial intelligence has revolutionized industries. But while most people have heard of self-driving cars and facial recognition software, many of us are unaware of the enormous impact AI has had for the waste management and recycling sectors.  Imagine a waste management facility. Are you picturing rows of machines? That’s

In the field of artificial intelligence, machine learning images and computer vision are becoming one of the hottest subfields at the moment. There are many applications of artificial intelligence and machine learning beyond the development of driverless cars and unmanned drones.  In the near future, computer vision and image annotation

Artificial intelligence is the future. Movies and TV shows like Ex Machina, The Terminator, Westworld, and Her paint a world that’s eerily similar to our own, in which machines can do everything humans can, and more — infinitely more. But AI is an umbrella term. And its applications extend far