eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

ABSTRACT: This paper introduces a methodology that enables the relational learning framework to incorporate quantitative data derived from experimental studies in microbial ecology. The focus of using ...

Abstract: This paper addresses the problem of intersample collision avoidance for mixed-integer motion planners on differential drive micromobility platforms. We employ a Mixed-Integer Linear ...

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems. The open source ...

Eliyahu Goldratt, although trained as a physicist, had a profound impact on industrial management with books such as The Goal (1984) and The Haystack Syndrome (1990). His contribution is based on the ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework.

Modern AI excels at pattern recognition but suffers when faced with logical reasoning tasks. What happens when we ask a neural network to solve a Sudoku puzzle from an image, verify a mathematical ...

Use case: As a policy builder, I want to create more sophisticated refinements with composite logical operands. Logical constraints at the moment can only use one logical operand. Constructs such as: ...

In today’s highly competitive semiconductor industry, chip-design companies strive for competitive advantages by optimizing designs for PPA (Power, Performance, Area). Along with the functional logic, ...