Google’s TurboQuant Marks A Turning Point In AI’s Evolution

Google’s TurboQuant could cut LLM memory use sixfold, signaling a shift from brute-force scaling to efficiency and broader AI ...
The Tech Edvocate

Revolutionizing Industries: AI Innovations Reshape Pharma, Wearables, and Autonomous Tech

Edge AI Technologies As artificial intelligence continues to evolve, its applications are becoming increasingly transformative across various sectors. In a recent report from March 30, 2026, several ...
Scientific Research Publishing

Integrating Multi-Agent Reinforcement Learning and Evolutionary Game Theory for Adaptive Virtual Bidding Strategies in Electricity Markets ()

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...

AI Can Now Upgrade Itself : First Self-Evolving Open-Weight Model Just Dropped

The future of AI is here. Discover the world’s first self-evolving, open-weight AI model that can independently upgrade ...
Que.com on MSN

AI-evolved adaptive robot is nearly impossible to destroy

AI-Evolved Adaptive Robot Is Nearly Impossible to Destroy Robots have long been designed around a simple assumption: their bodies and ...
Space.com on MSN

What if the next great astronomer isn't human? How AI is revolutionizing our study of the cosmos

We're just scratching the surface of what the innovative collaboration between human astronomers and AI can unlock.
Search Engine Land

Mastering generative engine optimization in 2026: Full guide

Gartner predicted traditional search volume will drop 25% this year as users shift to AI-powered answer engines. Google’s AI Overviews now reach more than 2 billion monthly users, ChatGPT serves 800 ...
Scientific Research Publishing

Deb, K. and Jain, H. (2014) An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems with Box ...

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 ...
IEEE

Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization with Equality and Inequality Constraints

Abstract: The presence of equality and inequality constraints is of significant importance in expensive constrained optimization. This study aims to develop a surrogate-assisted evolutionary algorithm ...