The Clippers’ investment in Peim reflects the modern NBA’s obsession with mining new sources of data to gain even the slightest competitive advantage. NBA teams have cast a wide net in search of tech ...

This paper presents a novel adaptive learning-rate backpropagation neural network (ALR-BPNN) algorithm based on the minimization of mean-square deviation (MSD) to implement a fast convergence rate and ...

The evolution of neural networks is a fascinating story filled with innovation, groundbreaking breakthroughs, near-fatal ...

Simple two-layer neural network written in Python mainly to solve the XOR problem. NN implemented in two versions: without tensorflow usage and with tensorflow package. It uses back-propagation ...

Nonlinear optical (NLO) crystal materials have been widely used in the scientific and industrial fields. Birefringence is an important property of the NLO crystals. Tuning appropriate birefringence ...

Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these models to their ...

Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners! Deep Learning with Yacine Posted: May 29, 2025 | Last updated: May 29, 2025 ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

Machine learning algorithm brings long-read sequencing to the clinic. ScienceDaily. Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 05 / 250529124849.htm.