Abstract: Approximation ability is one of the most important topics in the field of neural networks (NNs). Feedforward NNs, activated by rectified linear units and some of their specific smoothed ...

New efficiency improvements by the U.S. States Postal Service may make the "postmarked by" stamp a less reliable indicator of ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Where should people with disabilities live? For most of United States history, the answer has been simple: somewhere else. That was our answer when institutional care was the sole option for people ...

A Domino’s franchisee must calculate drivers’ actual vehicle-related expenses instead of relying on a reasonable ...

NEW YORK CITY, NEW YORK / ACCESS Newswire / January 5, 2026 / SMX (NASDAQ:SMX), a leader in molecular marketing and digital ...

Abstract: In this brief, a novel approximation method and its optimized hardware implementation are proposed for the sigmoid function used in Deep Neural Networks (DNNs). Based on piecewise ...

sudo apt-get install wget gawk gcc g++ make cmake automake curl unzip zip bzip2 tar gzip pigz parallel build-essential libncurses5-dev libc6-dev zlib1g zlib1g-dev libtbb-dev libtbb2 python python-dev ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

CHAMOIS is a fast method for predicting chemical features of natural products produced by Biosynthetic Gene Clusters (BGCs) using only their genomic sequence. It can be used to get chemical features ...

In interviews with Vanity Fair, Susie Wiles, the White House chief of staff, said President Trump “has an alcoholic’s personality,” called JD Vance a “conspiracy theorist” and concluded that Pam Bondi ...

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...