Agents need vector search more than RAG ever did

Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...
Forbes

AI Web Agents Are Impressive, But The Industry Is Solving The Wrong Problem

Nico Hänggi, CS grad specializing in adversarial web automation, is co-founder of Casey, YC-backed AI-native insurance brokerage. Imagine this: your company deploys an AI web agent to automate quoting ...
IEEE

Learning-Aided Evolutionary Algorithm for Solving Energy-Minimized Deadline-Constrained Task Scheduling Problem in Human-Cyber-Physical Systems

Abstract: This work addresses an energy-minimized deadline-constrained task scheduling problem in human-cyber-physical systems. It consists of three subproblems: processor allocation, task sequencing, ...