Tech Xplore

New deep learning framework solves the cold-start problem

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...
pv magazine International

New framework promises unprecedented level of cybersecurity for SCADA systems

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...
IEEE

Towards Communication-Efficient Federated Learning via Sparse and Aligned Adaptive Optimization

Abstract: Adaptive moment estimation (Adam), as a Stochastic Gradient Descent (SGD) variant, has gained widespread popularity in federated learning (FL) due to its fast convergence. However, federated ...
Devdiscourse

From zero-day attacks to quantum security: Here's how AI reshapes cyber defense

This challenge is examined in Application of AI in Cyberattack Detection: A Review, published in the journal Sensors, where researchers explore how artificial intelligence techniques, from ensemble ...
Devdiscourse

E-commerce shifts from forecasting to autonomous AI decision-making

Online shopping has evolved into a high-speed data battlefield where every click, scroll, and purchase feeds algorithms that decide what consumers see next. Retail giants now depend on advanced ...
Frontiers

Hybrid optimization of interpretable ensemble machine learning for petrophysical property prediction from well logs

Unconventional reservoirs, including shale gas, tight oil, and coalbed methane formations, have emerged as vital contributors to global energy security, accounting for a substantial portion of the ...
Hosted on MSN

Exponential moving averages in deep learning explained

Exponentially Weighted Moving Average or Exponential Weighted Average is a very important concept to understand Optimization in Deep Learning. It means that as we move forward, we simultaneously ...
Hosted on MSN

Deep learning optimization: Major optimizers simplified

In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning and why do we need them in the first place. Optimization in Deep Learning ...
Business Wire

Pathway to Deliver New Class of Adaptive and Continuously Learning AI Systems with AWS and NVIDIA Technologies

Pathway’s post-transformer architecture BDH integrated with NVIDIA AI and AWS cloud infrastructure Pathway model’s continuous learning, efficiency, and live observability is powered by NVIDIA AI ...
Scientific Research Publishing

Vanishing Gradients in an Artificial Deep Neural Network: The Impact of Activation Functions and Optimization Techniques ()

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...