The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

How data centers are evolving to meet the challenges of AI/ML computing. Pros and cons of common copper and optical interconnect solutions. Benefits of RF transmission over plastic cable (e-Tube ...

Liang: Our topic is, improve feature freshness in large scale ML data processing. I'm Zhongliang from Meta. First of all, let's talk about the scope of this presentation. We will be talking about ...

Multi-label zero-shot learning is a method for classifying images into multiple unseen categories for which no training data is available ... observed classes. The CLIP-Decoder is a novel method based ...

Reality AI software contains functionality to keep data collection on track, to assist with its pre-ML processing, and to get the most out of it using synthetic augmentation techniques. This white ...

Microsoft yesterday unveiled Microsoft Fabric, a new offering that unites its suite of data management, analytic, and machine learning tools into a single offering. The solution is built on OneLake, a ...

In 2018, HPE acquired BlueData software, which brought in new capabilities for using application containers to manage data in support of AI/ML efforts. In 2019, it acquired data platform vendor ...

This article is part of a VB special issue. Read the full series here: Data centers in 2023: How to do more with less. As the demand for data processing and storage continues to surge, data ...

To talk about the role of data in the art market, the game-changing power of the price database, and its brave new era, Artnet News’s editor in chief Andrew Goldstein spoke to Albert Neuendorf ...

However, these AI/ML-based perception models require enough data to learn patterns and relationships to make accurate predictions on new, unseen data and scenarios. In the field of radar applications, ...