TMCnet

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
AZoRobotics

Machine Learning Predicts Toxic Metal Levels in Marine Systems

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Why the Future of AI Engineering Begins With Mathematics, Not Just Machine Learning Tools

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...
Food & Wine

Air-Frying vs. Deep-Frying: How They Compare in Calories, Fat, and Flavor

Air-frying uses far less oil than deep- or shallow-frying — but how much does that really change the nutritional content of your food? Here’s what dietitians say. Lisa Valente is a registered ...
IEEE

Research on the Robustness of Cooperative Multi-Agent Deep Reinforcement Learning: A Policy Regularization Method Based on Transfer Learning

Huang et al. [1]first applied adversarial attacks to deep reinforcement learning(DRL) and discovered the security vulnerabilities of DRL, there are many attack and defense methods [2]–[5] proposed for ...
Hosted on MSN

Deep learning regularization: Prevent overfitting effectively explained

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...
VentureBeat

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
IEEE

A deep dictionary learning framework for device-free localization based on nonconvex sparse regularization and DC programming

Abstract: Received signal strength (RSS) based device-free localization (DFL) is commonly used in the Internet of Things (IoT) field. However, the current DFL algorithms have limitations in terms of ...
housedigest

Deep Clean Vs Regular Clean: How And When To Use Each Method

Who knew there were so many categories of cleaning? There's deep cleans, spring cleans, maintenance cleans, garage/attic/basement clean outs — the list really does go on and on. However, two of the ...
The Conversation

Chalk and talk vs. active learning: what’s holding South African teachers back from using proven methods?

Learning experiences have to include opportunities to develop thinking, skills and values. PickPic As a full-time teacher completing a PhD part-time, I made a decision early on: do research that ...
EurekAlert!

An efficient deep learning framework for revealing the evolution of characterization methods in nanoscience

A framework combining the citation analysis with topic modeling is designed to construct the knowledge graph of a research field. An extensible tokenizer is designed to improve the universality of the ...