Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

The OPC UA standard is ideally suited for creating software definitions of industrial production facilities and their devices ...

A technical paper titled “Data-driven power modeling and monitoring via hardware performance counter tracking” was published ...

Cloudflare's evolution into a 'connectivity cloud' creates a unique, programmable global edge network, driving durable growth ...

The Data Modeling course is targeted at data analysts, database administrators, business analysts, and the information technology professionals dealing in the field of data architecture and enterprise ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Veeam Data Cloud for Salesforce isn't a bolt-on or an afterthought. It's engineered specifically to meet the challenges of Salesforce resilience — from accidental deletions, misconfigured automations, ...

Oracle's multi-cloud flexibility and AI-ready database solutions uniquely position it ahead of competitors. Click here to ...

This paper introduces OUMVLP-OF, a large-scale dataset that provides dense optical flow data derived from the world’s largest multi-view gait database. Unlike conventional gait datasets that primarily ...

The Centre is reportedly considering local storage of AI models to minimise risks associated with them and prevent flow of sensitive data outside India. This aligns with the government’s broader ...

Knowing exactly which parts of LibGen that Meta and OpenAI used to train their models, and which parts they might have decided to exclude, is impossible. Also, the database is constantly growing.

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models.