An immense solution space that confounds QC and AI Modern cryptography assumes that mathematical expressions and ...

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

Dr. JeFreda R. Brown is a financial consultant, Certified Financial Education Instructor, and researcher who has assisted thousands of clients over a more than two-decade career. She is the CEO of ...

Abstract: Bitwise comparison is a fundamental operation in many digital arithmetic functions and is ubiquitous in both datapath and control elements; for example, many machine learning algorithms ...

Abstract: Wireless sensor network applications often involve the computation of pre-defined functions of the measurements such as for example the arithmetic mean or maximum value. Standard approaches ...

Lower-precision floating-point arithmetic is becoming more often used in recently growing hardware, moving beyond the usual IEEE 64-bit double-precision and 32-bit single-precision formats. Today, ...

In constructing the Support Vector Regression (SVR) model, the Radial Basis Function (RBF) kernel was selected. Due to the significant influence of the penalty factor C and the RBF kernel function ...

The parietal lobe is one of the brain’s major lobes. It sits near the upper back area in the skull. The lobe processes sensory information received from the outside world, mainly relating to touch, ...

BIT-SMASHER only handles the set of non-negative integers. As such, arithmetic on bit-vectors may not always produce the results you expect—return values of all arithmetic functions are given as the ...

Neural networks have to capture mathematical relationships in order to learn various tasks. They approximate these relations implicitly and therefore often do not generalize well. The recently ...