Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...

From large language models to whole brain emulation, two rival visions are shaping the next era of artificial intelligence.

Abstract: Change detection in remote sensing (RS) images typically involves processing and analyzing RS images of the same geographic location captured at different times to identify changes. In ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world ...

Abstract: Ptychographic imaging confronts inherent challenges in applying deep learning for phase retrieval from diffraction patterns. Conventional neural architectures, both convolutional neural ...

We've all been there, protecting our ears—the school play in the gym or community hall, where sound is distorted due to ...

AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...

We’ve all been there, protecting our ears. The school play in the gym or community hall, where sound is distorted due to glitches in equipment.   “And listening to live performances on the internet ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...