Endocrinology Advisor

AACE Releases 2026 Update to Type 2 Diabetes Management Algorithm

The AACE update to its 2026 algorithm for the management of type 2 diabetes includes a new section on diabetes classification.
NewZimbabwe.com

The Development of Neural Networks in User Data Analysis

The digital economy is increasingly driven by intelligent systems that process enormous volumes of behavioral information. Platforms across entertainment, finance, and iGaming rely on machine learning ...
IEEE

Verifiable Random Function Schemes Based on SM2 Digital Signature Algorithm and its Applications for Committee Elections

Abstract: A verifiable random function (VRF) is a pseudorandom function that enables source verification. By providing a public verification key and accompanying proof with the output, all parties can ...
The Society Pages

Older U.S. Adults Who Started Exercising After a Fall Were Less Likely to Experience Another Fall in the Following Two Years

Older adults who started exercising after a fall in 2019 were less likely to experience a recurrent fall in the following 2 years. Those who exercised in both 2019 and 2020 were the least likely to ...

Social media can draw attention to atrocities – a key factor in reducing risk of recurrence

(THE CONVERSATION) Social media is often blamed for stoking violence. But it can play a positive role by drawing attention to ...

New AI Model Predicts Cancer Spread With Incredible Accuracy

Scientists have developed an AI system that analyzes complex gene-expression signatures to estimate the likelihood that a tumor will spread.
The Malaysian Reserve

MicroCloud Hologram Inc. Achieves Breakthrough in Practically Deployable Quantum Recurrent Neural Network (QRNN) Technology Oriented Toward Sequential Learning

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...
IEEE

Channel Prediction Using Deep Recurrent Neural Network With EVT-Based Adaptive Quantile Loss Function

Abstract: Ultra-reliable low latency communication (URLLC) systems are pivotal for applications demanding high reliability and low latency, such as autonomous vehicles. In such contexts, channel ...