A research team has developed a novel deep learning framework, RsegNet, to revolutionize how rubber tree plantations are ...

A research team has developed a cutting-edge deep learning framework, TM-WSNet, that dramatically improves the accuracy of ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.

Introduction: Beekeepers often face challenges in accurately determining the spatial distribution of nectar-producing plants, which is crucial for informed decision-making and efficient beekeeping.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In today’s competitive market, companies must rethink how they connect with customers.

From all my years in research and consulting, I think I’ve learned a thing or two about marketing worth sharing. Enduring fundamentals, mostly—yet often overlooked. So, over the course of my biweekly ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Using any torch.compile after PyTorch 2.8.0 (and 2.9 nightlies) results in Segmentation fault with Intel ARC A770 / XPU Provided code and more complex torch.compile works fine with PyTorch 2.7.1+xpu, ...

Focal cortical dysplasia (FCD) type II is a common cause of epilepsy and is challenging to detect due to its similarities with other brain conditions. Finding these lesions accurately is essential for ...