Total Retail

The Customer Optimization Gap: Why AI Won’t Fix Retail’s CX Problem on its Own

The customer optimization gap is not a CX problem dressed in AI clothing. It is an operating model and architecture problem dressed in CX clothing.
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Query Fan-Out Framework Redefines LLM Visibility Strategy

Why Traditional SEO Fails in AI Search - The Query Fan-Out Framework Explained Coral Springs, United States - July 4, ...
Tech Times

OpenAI Halves Inference Costs With Software Alone: GPUs Drop to Hundreds

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

OpenAI engineers cut ChatGPT guest traffic to a few hundred Nvidia GPUs, with no new hardware deployed.

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, using software optimization alone. Engineers achieved more than 50% savings ...
CMSWire

Is AEO Actually Working? The Data Behind the Hype

Organic traffic is down, but one marketer says revenue is up. This AEO dissection unpacks why fewer site visits might mean ...
IEEE

Quantum Algorithm for Higher-Order Unconstrained Binary Optimization and MIMO Maximum Likelihood Detection

Abstract: In this paper, we propose a quantum algorithm that supports a real-valued higher-order unconstrained binary optimization (HUBO) problem. This algorithm is based on the Grover adaptive search ...
IEEE

Optimization and application of deep learning algorithm in library information retrieval system

Abstract: The library information retrieval system (IRS) has exposed some problems, such as insufficient semantic understanding and low retrieval efficiency, in the face of massive digital resources ...