Powering Smarter AI And LLMs With The Right Data Strategy

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...
CoinTelegraph

Training vs. testing data in machine learning

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
eWeek

Types of AI Models: A Deep Dive into AI Architecture

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
United States Army

Sustainment Proactivity: Using Data-Centric C2 to Predict Convoy Failures

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...
The Next Platform

How Did DeepSeek Train Its AI Model On A Lot Less – And Crippled – Hardware?

Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff. Or maybe the other obvious deep thing that the indigenous AI vendors in the United States are standing up to ...
American Institute of Physics

Modeling drifting seaweed rafts that clog ports and beaches

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...