Robot reading book
Training a deep learning model requires vast amounts of training data and compute resources. With transfer learning, developers can cut both on training examples and CPU costs.
As artificial intelligence becomes more ubiquitous in consumer applications, it must better understand human emotions. That’s where emotion AI comes in.
facial recognition mobile app
One-shot learning allows deep learning algorithms to measure the similarity and difference between two images.
machine learning dimensionality reduction
Dimensionality reduction slashes the costs of machine learning and sometimes makes it possible to solve complicated problems with simpler models.
artifiicial intelligence applications
By Rana Gujral Artificial intelligence as a discipline consists of hundreds of individual technologies, concepts, and applications. These terms have become increasingly important as STEM education expands and there is a boom in practical household and...
artificial intelligence brain
The quest for creating thinking machines has split artificial intelligence into two fields: Narrow AI, what we have, and general AI, what we wish to achieve
This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI. If you’re living on this planet, you probably hear a lot about Artificial Intelligence these...
By Vanessa Kearney Any business looking to streamline its processes and move to more efficient models will encounter automation, machine learning, and artificial intelligence along the way. Although in 2020 we’re a far cry from sentient...
jordan peele obama deepfake
Deepfakes use deep learning algorithm to swap parts of image. They have given rise to a new generation of AI-doctored videos.
The main takeaway from the buildup of developments in the cybersecurity landscape is that privacy is becoming a commodity. The CIA is spying on your phone. Hackers are breaking into your home. Your documents, emails,...