AI-designed diffractive optical processors pave the way for low-power structural health monitoring

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...
IEEE

Constraint Programming Based Model and Algorithm for Solving Steelmaking and Continuous Casting Scheduling Problem with Adjustable Casting Time

Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...

Letting atomic simulations learn from phase diagrams

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
Scientific Research Publishing

The Grover Dilemma and Three Fundamental Barriers to Oracle-Based Quantum Search Algorithms ()

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...
IEEE

Optimizing Multi-Row Layouts With the Through-Aisle Structure: A Hybrid Approach of Teaching-Learning-Based Optimization and Linear Programming

Abstract: The multi-row facility layout problem is a prevalent and significant planning challenge in manufacturing workshops. This problem requires distributing facilities with pairwise transport ...
Forbes

Algorithm Vs. Individual: AI’s Role In Modern Hiring And Retention

Today's job market prospects can be brutal, especially as the latest AI-driven tools and people analytics are reshaping the talent lifecycle. When an algorithm has the power to decide who deserves an ...