Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been ...

In a study published in Nature (September 3), Lulu Qian , professor of bioengineering, and her student Kevin Cherry (PhD '24) ...

Sized Architecture at Cloud Native Summit 2025, as a format for building shared understanding through small, recurrent workshops. Ahilan Ponnusamy and Andreas Grabner discussed the Technology ...

Overview: Machine learning tools simplify and speed up AI development.Options include open-source frameworks and cloud AI ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

This AI engineer salary guide explains which factors influence AI engineer salaries, and how much AI engineers typically earn ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Redcore Investments COO, Ihor Denysov, elaborates on just why those that master AI and big data will spearhead the industry ...

Abstract: This brief proposes a neural network-enhanced digital background calibration scheme for calibrating the linear and the third-order nonlinear gain errors of the residue amplifier (RA) in ...

Reliable estimation of Chlorophyll-a concentration (Chl-a) from remotely sensed data is essential for monitoring the health of aquatic ecosystems and supporting environmental policy decisions (El ...

This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD-PROPAGATION ...