Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

How to track AI search rankings in 2026

WebFX reports AI visibility tracking is crucial for brands in 2026, as AI tools influence search results and traffic.
ischool.berkeley.edu

Searching for Accountability: Contested Harms, Algorithm Audits, and the Governance of Sociotechnical Systems

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world. The Master of Information and Data Science ...

3 AI Search Changes Every Marketer Needs A Plan For In Q2

AI search changed how people find you, click on you, and convert. Here's what the Q1 data says and how to build your Q2 plan.
IEEE

Learning-Aided Iterated Local Search Algorithm for Integrated Order Batching, Picker Assignment, Batch Sequencing, and Picker Routing Problem

Abstract: This work tackles an integrated order batching, picker assignment, batch sequencing, and picker routing problem in warehouse environments. A Learning-Aided Iterated Local Search (LILS) is ...
IEEE

Enhancing Sparrow Search Algorithm with Hybrid Strategy

Abstract: This paper proposes a hybrid strategy-based improved sparrow search algorithm (HISSA). Tent chaotic mapping is used in the initialization of sparrow population to make the distribution of ...