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.
IEEE

Machine Learning Algorithm for Predicting Pre-Service Teachers' Readiness to Use Brain-Computer Interfaces in Inclusive Classrooms

Abstract: We examine the factors influencing pre-service teachers' readiness to work with special needs students (SNSs) on Brain-Computer Interfaces (BCIs). While BCIs hold promise for enhancing ...
IEEE

Imitation Learning-Assisted Evolutionary Algorithm for Energy-Efficient Flexible Job Shop Scheduling Problem With Automated Guided Vehicles

Abstract: The flexible job shop scheduling problem with limited automatic guided vehicles (FJSP-AGVs) is prevalent in manufacturing enterprises. To improve production efficiency and reduce energy ...