Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

How Does Non-Human Identity Management Enhance Scalability in Tech Ecosystems? Is your organization struggling to keep pace with the scalability demands of emerging tech? With technology grow and ...

Join a global symposium exploring Hemophilia and Antiphospholipid Syndrome (APS) with patient stories and expert insights for ...

A systematic review of Long COVID identifies symptom clusters, highlighting fatigue and proposing a management framework for ...

SBQuantum's quantum diamond magnetometer, as explained by CEO David Roy-Guay, is set to transform navigation and Earth ...

Every year, the NCAA Selection Committee faces the monumental task of seeding the NCAA Tournament, a decision heavily ...

For far too long, two specters have been haunting the world of artificial intelligence and warfare, and they both featured in ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...