Devdiscourse

Quantum machine learning shows promise for adaptive learning, but classrooms are not ready

Read more about Quantum machine learning shows promise for adaptive learning, but classrooms are not ready on Devdiscourse ...
Science Daily

How personalized algorithms trick your brain into wrong answers

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
Wastewater Digest

Operators are building trust in machine learning recommendations at wastewater plants

Implementing machine learning tools in wastewater treatment plants offers measurable benefits such as chemical cost ...
Business Wire

Imagine Learning Partners with Modern Classrooms Project to Drive Stronger Math Outcomes Through Improved Implementation

TEMPE, Ariz.--(BUSINESS WIRE)--Imagine Learning today announced a partnership with the Modern Classrooms Project (MCP) to help districts accelerate student achievement in math through stronger ...
The Conversation

A few weeks of X’s algorithm can make you more right‑wing – and it doesn’t wear off quickly

A new study published today in Nature has found that X’s algorithm – the hidden system or “recipe” that governs which posts appear in your feed and in which order – shifts users’ political opinions in ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
IEEE

Implementation of Hybrid Machine Learning on Photonic Crystal Fiber Based Biosensor

Abstract: In this article, a machine learning (ML) regression approach is proposed for detecting the core loss (CL) and effective refractive index (ERI) of the core mode of photonic crystal fiber (PCF ...
Purdue University

CSE Core Courses

To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance ...
Quanta Magazine

The Game Theory of How Algorithms Can Drive Up Prices

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
Scientific Research Publishing

Sorour, S.S., Saleh, C.A. and Shazly, M. (2024) A Review on Machine Learning Implementation for Predicting and Optimizing the Mechanical Behaviour of Laminated Fiber-Reinforced ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...