Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

The data needed to power ML and AI is vast. Organizations need to understand the factors that go into decisions about where or how it will source its data. IFI CLAIMS Patent Services has a global ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

When working with comprehensive datasets every data scientist seems to have their favorite go to. For free resources, Mansi Singhal CEO of qplum pointed to data.gov, Socrata, Amazon OpenData, Google ...

Researchers have applied the tools of neuroscience to study when and how an artificial neural network can overcome bias in a dataset. They found that data diversity, not dataset size, is key and that ...

Davit Buniatyan is the Founding CEO at Activeloop, the company behind the fastest-growing dataset format specifically designed for AI. "If I want to tell you there is a spot on your shirt," Steve Jobs ...

A new exhibition in Milan analyzes the troubling history of machine learning data sets—and lets both in-person and remote visitors see how AI classifies them. In 2009, a group of scientists at ...

Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...

Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

At first thought, computing the similarity/distance between two datasets sounds easy, but in fact the problem is extremely difficult, explains Dr. James McCaffrey of Microsoft Research. A fairly ...