What A Top VC Says Workers Must Do To Earn More In 2026

As layoff fears rise, a top Silicon Valley VC explains why AI-savvy workers are getting promoted—and how to future-proof your ...
Science X Network

Advancing scalability, efficiency, and reliability of over-parameterized machine learning models

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of science, technology, and medicine news ...
Poultry World

Cracking egg freshness with machine learning

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...
IEEE

Explainable Machine Learning Models for Clinical Decision Support Systems

Abstract: Explainable Machine Learning (ML) models are an essential component of Clinical Decision Support Systems (CDSS), since they provide the transparency and interpretability that are essential ...

What is the Difference Between Deep Learning and Machine Learning

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
IEEE

Optimizing Power Control in Cellular and Cell-Free Massive MIMO Systems: A SVM/RBF Approach

Abstract: This paper explores the optimization of power control in both cellular (CL) and cell-free (CF) massive MIMO (mMIMO) systems using a hybrid approach combining support vector machine (SVM) and ...

The AI arms race: Inside the invisible war between hackers and defenders

Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to ...
eLife

Continuous flashing suppression of V1 responses and the perceptual consequences revealed via two-photon calcium imaging and transformer modeling

Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...