Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...

Most AI systems are trained on historical data. When conditions shift due to changing consumer sentiment, models trained on ...

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help ...

To ensure more food reaches communities in need, a team of researchers collaborated with VolunteerMatch and Feeding America to enhance their algorithms, making volunteer distribution more efficient ...

A new quantum-inspired algorithm is reshaping how scientists approach some of the most complex materials known, enabling ...

The foundational paradox and its initial articulation emerged from a dialogue between Joe Nalven — cultural anthropologist — ...

Abstract: With the transformation of manufacturing towards intelligence and flexibility, the workshop scheduling problem, as a typical combinatorial optimization problem, is facing increasingly ...

Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly ...

More than 1,200 years ago, in the intellectual heart of Abbasid Baghdad, a Persian scholar quietly reshaped how humans ...

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Abstract: This work addresses an energy-minimized deadline-constrained task scheduling problem in human-cyber-physical systems. It consists of three subproblems: processor allocation, task sequencing, ...

Every business starts by solving a problem no one has solved before. Over time, it refines that approach into an algorithm it ...