Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

Abstract: The problem of finding a minimal circuit to implement a given function is one of the oldest in electronics. It is known to be NP-hard. Still, many tools exist to find sub-optimal circuits to ...

At its core, the SPARKLINE function in Google Sheets takes a row of numbers and turns them into a mini chart that lives right inside a single cell. Instead of inserting a full-sized chart that eats up ...

Abstract: Graph matching involves combinatorial optimization based on edge-to-edge affinity matrix, which can be generally formulated as Lawler's quadratic assignment problem (QAP). This paper ...

For the first part of the project, I created a python code that generates a LUT table of function x^2 - x^3 for x in range (0, 1) and the table has 256 sluts which means we only need 8-bits so we ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

A damage detection method based on the quadratic correlation function of strain responses (QCoS) and pattern matching degree (PMD) is proposed in the present study. For this method, only QCoS is ...

One powerful way to do this is through a routine called slow reveal graphs.

Comparing a map of the neurons in a nematode worm - the connectome - with a map of how signals travel across those neurons ...

For Mr. Santos, math can also inspire ideas about structures that have already been built — a new way to see and appreciate the world. Inspired by this idea, The New York Times created a virtual tour ...