Driving AI Giants Toward Profitability: Mapping Mathematics and AI World Models

Tech stock declines highlight unsustainable AI spending; EssentaTor proposes Mapping Mathematics for durable, efficient intelligence systems.
Psychology TodayOpinion

Is Algorithmic Asymmetry Reshaping How We Think?

Algorithms are growing ever stronger. They measure and project mirrors of a pattern that once looked like someone adjacent to ...
Scientific Research Publishing

FOCUS-Net: A Hybrid Denoising and Confidence-Weighted Attention Fusion Framework for Robust Alzheimer’s Disease Classification from MRI Data ()

1 Department of Computing and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Alzheimer’s Disease (AD) is a ...
MD&M East

HeartBeam’s Algorithm Synthesizes a 12-Lead ECG Output in a Credit-Card-Sized Device

Twelve-lead ECGs, although standard in hospitals, can be bulky and impractical for home use. On the other hand, Apple Watch’s ECG app is easy to use, but it is limited in what it can detect because it ...
GitHub

clspv generates wrong output result for outpursortedeven algorithm

We ran a outputSortedEven algorithm using clspv and it seems like there are issues with clspv . output: sorted array (contains only even numbers) Explanation: We're trying to sort the array in ...
EDN

Single-supply single-ended input to pseudo class A/B differential output amp

From the micromixer topology by Barrie Gilbert [1], this amplifier allows a single-ended input to be converted to a Class A/B current output from a single supply. Wow the engineering world with your ...
IEEE

Fast Imaging Algorithm for Layered Dielectrics Based on Spatial Inhomogeneous Single-Input Single-Output Array

Abstract: Array-based millimeter wave (MMW) holographic imaging technology has shown great application potential in nondestructive evaluation (NDE) of dielectric materials (such as composites). With ...
Frontiers

A three-step, “brute-force” approach toward optimized affine spatial normalization

The first step in spatial normalization of magnetic resonance (MR) images commonly is an affine transformation, which may be vulnerable to image imperfections (such as inhomogeneities or “unusual” ...