The most valuable improvements of AI and machine learning are often tied to training data. However, under Recentive these improvements are unlikely to support the finding of patent eligibility.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates achieving ...

The potential for machine learning to transform data-intensive businesses is undeniable, but realizing this potential requires more than just an investment in technology.

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

A data privacy expert explains how machine learning algorithms draw inferences and how that leads to privacy concerns.

As the generative artificial intelligence gold rush intensifies, concerns about the data used to train machine learning tools have grown. Artists and writers are fighting for a say in how AI ...

Strategies to reduce data bias in machine learning Chances are that you’re familiar with the concept of bias. It is widespread, turning up in discussions about scientific discoveries, politics ...