A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...

For the first time, a group of physicists has written down a warp drive concept that does not ask the universe for impossible ...

Terahertz photonic crystal fiber sensors, powered by machine learning, could transform tuberculosis detection with rapid and ...

Mass spectrometry data analysis has long been limited to known molecules and exact matches. In a recent manuscript, a scalable search algorithm is proposed for uncovering both known compounds and ...

We developed an open-source, prototype AI collaborator for the science of science (SciSci). Through a web-based chat interface, SciSciGPT orchestrates auditable, automated workflows for literature ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...

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 ...

Integral transforms play a foundational role in applied mathematics, statistics, and theoretical physics, serving as powerful ...

Don't prioritize your tasks by what will take the most time—try choosing what will have the biggest impact. That's what the Most Important Task (MIT) method involves: rather than thinking of specific ...

Understanding optical resolution is key in microscopy, highlighting the diffraction limit and innovations in super-resolution ...