A novel diffusion model generates synthetic atrial fibrosis images to augment data for deep learning, improving prediction of ...

The models are assessed based on performance metrics such as accuracy, F1 score, PR-AUC, ROC-AUC, and precision-recall curves. The 20 Newsgroups dataset serves as the benchmark, containing documents ...

The long-range forecast data is ... The ROC curve shows the ability of the model to consistenty forecast a higher probability of occurrence of extreme conditions than it would do for a non-occurrence.

In today’s fast-paced digital world, the need for skilled data scientists who can harness the power of Artificial Intelligence (AI) and Machine Learning (ML) is skyrocketing. Data Science combined ...

What metrics do business and tech leaders trust for measuring ROI on dataops, data governance, and data security? We asked ...

At Data Center World 2025, industry experts discuss AI's impact on DC power needs and liquid cooling innovation.

Enterprises stand at a crossroads—either wait for agentic AI to mature or take the calculated risk of early adoption.

AI is driving exponential growth in data centers — and energy use. UCSB Bren School professor Eric Masanet explains the ...

Researchers devised a way to maintain an AI model's accuracy while ensuring attackers can't extract sensitive information used to train it. The approach is computationally efficient, reducing a ...

Based on hands-on comparisons and real-world tests, this guide unpacks what happens when you switch from OpenAI to Anthropic or Google’s Gemini and what your team needs to watch for.