Learn how the framing effect influences decision-making in investments, and discover strategies to identify and mitigate its ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data ...

Texas baseball is off to an 8-0 start, but head coach Jim Schlossnagle says the Longhorns’ success still comes down to competitiveness over data. Players and coaches explain how they balance analytics ...

Data centers in outer space? It makes sense, according to Elon Musk, hence the recent tectonic, trillion-dollar merger announced between his SpaceX and xAI companies. Whether it’s sensible, or just ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

LASIK offers an example of how ophthalmology is becoming data-driven, using advanced imaging to move beyond static ...

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...

We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...

This coal plant in central Pennsylvania, once the largest in the state, was shuttered in 2023 after powering the region for over 50 years. Earlier this year, wrecking crews blasted the plant’s cooling ...

Electricity prices are surging, voters are growing angry, and the artificial intelligence industry's data centers are increasingly a target for blame with U.S. mid-term elections on the horizon.

Michael O'Connell, Chief Analytics Officer at Spotfire explores how the company uses data science, geospatial analytics and AI to boost the energy sector As industries continue to experience ...