Here is a sneak peek at the evolution of the MLPerf benchmark and how generative AI forced a radical shift in AI hardware ...

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

In 2025, Java is expected to be a solid AI and machine-learning language. Best Java libraries for AI in 2025 can ease building neural networks, predictive modeling, and data processing. These tools ...

To evaluate the feasibility of a WEKA-based machine learning pipeline for detecting post-treatment hemodynamic remodeling by comparing pre- and postoperative cerebral angiographic images in patients ...

While an increasing number of companies are investing in AI, many are struggling to get AI-powered projects into production — much less delivering meaningful ROI. The challenges are many. But a ...

Hammerspace unveiled its new high-performance NAS architecture, Hyperscale NAS, to cater to the growing demands of enterprise AI, machine learning, deep learning initiatives, and the increasing use of ...

We present Weka4P, an open-sourced machine learning library with APIs that support designers to use Weka’s machine-learning functionality with Processing. It attempts to provide an interface for the ...

Weka is a comprehensive software that lets you to preprocess the big data, apply different machine learning algorithms on big data and compare various outputs. This software makes it easy to work with ...