As artificial intelligence technology continues to improve, more companies have become interested in machine learning—technology that is able to “learn” and adapt to become increasingly adept at ...

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 centers ...

Recent advancements in large generative models have resulted in widespread interest in their ability to act on complex instructions. These so-called foundational large language models (LLMs), e.g., ...

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

Cloud-based virtualization, real-time data synchronization, and scalable AI/ML deployment can modernize the testing landscape ...

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. To say that it’s challenging to achieve AI at scale across the enterprise would be ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

In this podcast, we look at how to size storage for artificial intelligence (AI) and machine learning (ML) workloads that can range from batches of large images to many, many tiny files, with Curtis ...

IIT Delhi has launched an advanced online programme in AI and ML. Here’s everything you need to know about eligibility, fees, ...