Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
Researchers at QuTech in Delft, The Netherlands, have developed a new chip architecture that could make it easier to test and ...
The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...
Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...
This code is inspired by Cache-friendly, Parallel, and Samplesort-based Constructor for Suffix Arrays and LCP Arrays. We copied many ideas from the original C++ implementation CaPS-SA, most notably ...
Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...
Social media companies and their respective algorithms have repeatedly been accused of fueling political polarization by promoting divisive content on their platforms. Now, two U.S. Senators have ...
SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...
Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
Abstract: Recent advancements in machine learning and AI have significantly increased the demand for Convolutional Neural Networks (CNNs) due to their high accuracy and robustness. However, CNNs are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results