PCMag

Neuralink User Taps Brain Chip to Control a Robot Arm

Neuralink patient Nick Wray demonstrates how the brain chip lets him control a robot arm to take a drink from a cup.
InfoWorld

How to write nonfunctional requirements for AI agents

Nonfunctional requirements for AI agents are similar to NFRs for traditional applications, but they require additional layers ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
Frontiers

Formal Verification of Neural Networks-Based Control Architecture for Safety-Critical Autonomous Systems

With increase in the applications of autonomous systems, in both civilian and military domains, it has become increasingly ...
Deep Learning with Yacine on MSNOpinion

Reduced Row Echelon Form (RREF) in Python – Algorithm from Scratch

Learn how to implement the Reduced Row Echelon Form (RREF) algorithm from scratch in Python! Step-by-step, we’ll cover the ...
Deep Learning with Yacine on MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...
IEEE

A Sequence Recommendation Algorithm Based on GCN Network and Self-Attention Mechanism

Abstract: Traditional recommendation systems primarily rely on collaborative filtering, which struggles to effectively capture the dynamic changes in user interests. Sequential recommendation ...
IEEE

Multi-Objective Optimization Design of Dual-Stator Low-Speed High-Torque Motor based on BP Neural Network-Improved Genetic Algorithm

Abstract: This paper explores the multi-objective optimization design issue of the dual-stator hybrid rotor low-speed high-torque motor (DS-LSHTM).The torque, torque ripple and motor efficiency are ...