Semiconductor Engineering

How And Why To Optimize NPUs

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.
Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
IEEE

Low-Power Resource-Efficient FPGA Implementation of Modified FitzHugh–Nagumo Neuron for Spiking Neural Networks

Abstract: The primary goals of neuromorphic engineering are to study, simulate, model, and implement neural behavior of the human brain. In this work, we propose a modified version of the original ...
The Manila Times

Interview Kickstart's New Advanced Machine Learning and Agentic AI Program 2026 Helps Software Engineers Transition To Top ML and AI Roles

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
IEEE

A Neural Network-Assisted GLRT Detection Algorithm for Range-Spread Target

Abstract: The range-spread target detection problem typically faces uncertainty in the number and locations of target scattering centers (TSCs), which severely limits the performance of traditional ...