The power of MLOps to scale AI across the enterprise
To say that it’s challenging to achieve AI at scale across the enterprise would be an understatement. An estimated 54% to 90% of machine learning
To say that it’s challenging to achieve AI at scale across the enterprise would be an understatement. An estimated 54% to 90% of machine learning
Hashing is a core operation in most online databases, like a library catalogue or an e-commerce website. A hash function generates codes that replace data
Teaching a machine to recognize human actions has many potential applications, such as automatically detecting workers who fall at a construction site or enabling a
In machine learning, understanding why a model makes certain decisions is often just as important as whether those decisions are correct. For instance, a machine-learning
A new technique compares the reasoning of a machine-learning model to that of a human, so the user can see patterns in the model’s behavior.
Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly. Imagine a team of physicians using a neural network
In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images. Using the
The Republic of the Marshall Islands is a country of around 50,000 people spread across more than 1,000 islands in a remote part of the
Increasingly, artificial intelligence systems known as deep learning neural networks are used to inform decisions vital to human health and safety, such as in autonomous
While the potential for big data analytics in healthcare has been well-documented in countless studies, the possible risks that could come from using these tools
Big data has gotten really, really big: By 2025, all the world’s data will add up to an estimated 175 trillion gigabytes. For a visual,
Imagine you enter your neighbor’s kitchen room for the first time. As soon as you step your foot inside, you can figure out where the