We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Latest release enables faster design decisions at scale with accelerated simulation, AI-powered, real-time feedback, and ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Altair, a global leader in computational intelligence and now part of leading technology company, Siemens, announced the ...

Abstract: For an energy-efficient adaptive data rate (ADR) algorithm in a long-range wide-area network (LoRaWAN) system, an asymptotic analysis on the spreading factor (SF) by the ADR-MIN algorithm ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

A Python script with an AI algorithm that solves a 2D maze using the A* search algorithm - but, with specific movement constraints, to really force the AI earn its way out of the maze. This time, ...

Abstract: This article proposes a design and optimization method for Ultra-Wideband power amplifiers (PAs) using improved multiobjective evolutionary algorithm based on decomposition (MOEA/D) and ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Research Institute for Electronic Science, Hokkaido University, Sapporo 001-0020, Japan Institute for Chemical Reaction Design and Discovery (ICReDD), Hokkaido University, Sapporo 001-0020, Japan ...

TracePy is a sequential ray tracing package written in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. To use TracePy you can either ...