Opportunities include leveraging synthetic data, now over 50%, to enhance autonomous driving by filling long-tail scenarios. The full-process automated toolchain lowers costs and boosts efficiency, ...

Explore how NVIDIA's TensorRT Model Optimizer utilizes pruning and distillation to enhance large language models, making them more efficient and cost-effective. NVIDIA's latest advancements in model ...

Multicomponent separation of synthetic petrochemical naphtha (hexane, cyclohexane, toluene and xylene) was carried out in a falling film distillation sequence with heat supply using a vapor chamber ...

This project develops advanced machine learning surrogate models for predicting distillate purity (xD) and reboiler duty (QR) in ethanol-water binary distillation columns. By combining rigorous ...

Google Ads introduced a small but notable UI tweak — a new icon now appears next to the Optimization Score in the Campaigns table. When hovered over, the icon reveals a quick recommendation, like ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

As the use of Unmanned Aerial Vehicles (UAVs) expands across various fields, there is growing interest in leveraging Federated Learning (FL) to enhance the efficiency of UAV networks. However, ...

The global Distillation Analyzer Market is experiencing significant momentum as industries worldwide increasingly prioritize operational efficiency, regulatory adherence, and product quality control.