A fully automated deep learning workflow for echocardiography in pulmonary arterial hypertension (PAH) is accurate and feasible.

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By ...

The foundation of today’s AI-enabled design workflows is data. Keysight highlighted how its Design Data Management (SOS) data ...

From prescriptive prompts to human checkpoints, AI is transforming how AEC professionals work. Learn the five actionable ...

Spatial biology technologies reveal new dimensions for understanding cellular interactions in their native environment.

Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI introduces a data-driven, adaptive approach, capable of learning from vast ...

Synopsys unveiled racetrack experience at Aramco STEM Racing World Finals in Singapore ahead of releasing an enhanced, ...

Synopsys has created a digital twin of a F1 racetrack using NVIDIA Omniverse libraries, aiming to inspire the next generation ...

Ansys, part of Synopsys, created a digital twin racetrack for STEM Racing (formerly F1 in Schools) that enables students to virtually test aerodynamics of miniature F1 cars using advanced ...

Many organizations would be hesitant to overhaul their tech stack and start from scratch. Not Notion. For the 3.0 version of ...