Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...
According to Jeff Dean on Twitter, concrete examples of various AI performance optimization techniques have been provided, including high-level descriptions from a 2001 set of changes. These examples ...
Abstract: With the expansion of mobile devices and cloud computing, massive spatial trajectory data is generated and outsourced to the cloud for storage and analysis, enabling location-based mobile ...
Long sales cycles, low conversion volume, and multi-stage purchase journeys make measurement and attribution harder, creating real obstacles to campaign optimization. For B2Bs and brands selling ...
Search Engine Optimization (SEO) has been a cornerstone of digital marketing for over two decades, evolving through numerous algorithm updates and technological shifts. However, the rise of Artificial ...
The current RLOO trainer implementation has significant memory inefficiency when handling multiple generations per prompt. This proposal introduces a string-level processing optimization inspired by ...
ABSTRACT: This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of ...
Search optimization now requires combining traditional SEO with AI-focused GEO and answer-driven AEO strategies AI search usage continues to grow, with 10% of US consumers currently using generative ...
The many stages of a bioprocess offer endless opportunities for optimization. Improving a process starts with process design (PD) and never really ends. In late 2024, Jun Luo, PhD, Genentech’s head of ...
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