The Trump administration wants PJM Interconnection, the country’s biggest power market, to force data center developers to ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

When faced with something new, human beings instinctively reach for comparisons. A child learning about atoms might hear that electrons orbit the nucleus “like planets orbit the sun.” An entrepreneur ...

The math of data structures helps us understand how different storage systems come with different trade-offs between ...

Abstract: In the modern era, data of diverse types (medical, financial, etc.) are outsourced from data owner environments to the public domains for data mining and knowledge discovery purposes.

How a data center CEO discovered that building AI infrastructure taught him nothing about the one system that actually ...

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Business leaders can’t outsource mathematical thinking to AI without sacrificing judgment, because real-world business ...

Abstract: The 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in ...