Researchers have developed a physics-informed, uncertainty-aware graph neural network that predicts jet engine remaining ...

A new convolutional architecture called MRTFNet combines multi-resolution temporal embeddings with frequency-domain modeling to outperform Transformer-based models on most long-term forecasting ...

The history of evolution leading to the birth of generative AIAI has developed as a technology for finding human faces in ...

Source: Yoshitaka Tomiyama Published: 2020-03-04 / 44 minutes / 24,000 views Scope: The second in a series of explanations ...

Shin Dong-joo, CEO of South Korean AI semiconductor startup Mobilint, emphasized "versatility" as the core competitive edge ...

Mobilint targets Koreas edge AI as Shin Dong-ju champions versatile NPUs Edge AI bet leans on Regulus SoC and Eris accelerator to bring versatile, power‑efficient models to robots and smart factories ...

Researchers from Tsinghua University, Xi'an Jiaotong University and Tongji University have developed EEGEmoLib, an open-source Python toolbox designed ...

There are effective approaches for 2D segmentation, yet 3D cell segmentation remains a critical bottleneck due to diverse cell morphologies, low signal-to-noise ratios, and data scarcity. We introduce ...

Imagine hearing a familiar sound and expecting something to happen. Before the event arrives, the brain can predict what it will be, when it will occur and how likely it is. Yet computational models ...

Boost R&D ROI by reducing discovery time and costs through AI-driven platforms, strategic partnerships, generative AI, acquisitions, and geographic expansion.Dublin, Oct. 12, 2026 (GLOBE NEWSWIRE) -- ...

Segmenting brain tumors from MRI scans is a challenging aspect of medical image analysis because of anatomical complexity, ambiguous tumor boundaries, and variability of shape. In this paper, we ...