Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Public markets tend to anchor valuation debates to price history. A stock moves quickly, financing follows, and the terms of ...

The research highlights that AI adoption does not occur in a vacuum. Students do not evaluate technology purely on technical ...

Background: Previous scholars have conducted a series of explorations on the relationship between learning approaches and mathematical creativity, but it remains unclear how deep learning approach ...

Madeline is a junior psychology major and data science minor. Her interests lie in studying proximal risk factors of self-injurious behaviors using computational modeling and machine learning. In her ...

This paper introduces the Israeli Structural Model (ISM), a New-Keynesian Dynamic Stochastic General Equilibrium (DSGE) model tailored to reflect key characteristics of the Israeli economy. The ISM ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

ABSTRACT: Graduate attributes are essential skills, knowledge and values that prepare university students for professional success and responsible citizenship in a globalised world. This study uses ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...