We tested precision scopes that cost a few hundred to a few thousand dollars and are ideal for ringing steel at extended ...

Watch the full timelapse of modelling a PBY Catalina in Blender, crafted for RC plane construction. Follow the process from ...

Abstract: Continuous stability, as one of the core modules of the autopilot system, is particularly important for its performance. However, as the vehicle speed ...

Knowing this, one of the best gifts you can get for the avid baker in your life is a kitchen scale. Out of my many, many kitchen tools, it’s this small gadget that has had the most impact on how I ...

High-precision magnetometers are used to measure the strength and direction of magnetic fields for various applications. However, many of today's magnetometers must operate at extremely low ...

Collaboration to support value-based reimbursement models for GLP-1 receptor agonists, optimizing patient outcomes, increasing markets, and healthcare sustainability. The partnership combines ...

A Russian-linked campaign delivers the StealC V2 information stealer malware through malicious Blender files uploaded to 3D model marketplaces like CGTrader. Blender is a powerful open-source 3D ...

CPAM serves as a resource dedicated to helping UAB researchers understand genetic changes in disease by developing precision disease models that span experimental, cellular and computational systems. ...

Baylor College of Medicine’s Center for Precision Medicine Models has received a five-year, $10 million grant from the National Institutes of Health to continue its work using precision models to ...

Medical imaging foundation models are ushering in a new era for precision oncology. By integrating massive multimodal datasets and advanced AI algorithms, these models achieve unprecedented accuracy ...

Today, we are unveiling the next Fairwater site of Azure AI datacenters in Atlanta, Georgia. This purpose-built datacenter is connected to our first Fairwater site in Wisconsin, prior generations of ...

Traditional task-specific computational pathology models require a substantial labeled dataset for training to perform various tasks, while foundation models can be trained on large-scale, unlabeled ...