They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Abu Dhabi: Held under the patronage of His Highness Sheikh Hamdan bin Mohamed bin Zayed Al Nahyan, Deputy Chairman of the ...

Type “greatest leaders of all time” in your favourite search engine and you will probably see a list of the world’s prominent male personalities. How many women do you count? An image search for ...

Getting AI governance right is one of the most consequential challenges of our time, calling for mutual learning based on the lessons and good practices emerging from the different jurisdictions ...

This repository contains the experimental code and raw results used in the study: "Time, Space and Energy Complexity Analysis of Sorting and Matrix Multiplication Algorithms" The project evaluates ...

Matrix multiplication is expensive O(n^3) operations! But what if we could verify the result without doing the full computation? I implemented Freivalds' algorithm in C to probabilistically verify ...

Abstract: The growing disparity between processor and memory performance poses significant limits on system performance and energy efficiency. To address this widely investigated problem, modern ...

Microsoft and Tsinghua University have developed a 7B-parameter AI coding model that outperforms 14B rivals using only ...