Sam id_orcid Hind
Biographic Data
| ID | 8665792 |
|---|---|
| NAME | Sam id_orcid Hind |
| GIVEN NAMES | Sam id_orcid |
| FAMILY NAME | Hind |
| SIGNATURE | HIND S I O |
| AFFILIATIONS | University of Manchester |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Driving the hype
Proponents of autonomous vehicles are proclaiming a new era, driven by innovations derived from large language models (LLMs). Following a decade of highly public failures and the concurrent redirection of capital and attention towards generative AI, firms in the autonomous vehicle industry have turned to LLM-style techniques as the basis for a rebooted commercialisation effort. Through a technographic analysis of an annual industry event, Nvidia …
Orchestrating scalability
This article explores how cloud computing enables and shapes the scaling of connected and autonomous vehicles (CAVs), positioning cloud infrastructure as a technology, strategy, and imaginary central to the scaling of AI. Using a dataset of 69,421 global patent families, we analyse how diverse actors—including automotive manufacturers, chipmakers, electronics companies, autonomous vehicle firms, and telecom/mapping providers—mobilise cloud techno…
No prominent works on this page.
Driving the hype
Proponents of autonomous vehicles are proclaiming a new era, driven by innovations derived from large language models (LLMs). Following a decade of highly public failures and the concurrent redirection of capital and attention towards generative AI, firms in the autonomous vehicle industry have turned to LLM-style techniques as the basis for a rebooted commercialisation effort. Through a technographic analysis of an annual industry event, Nvidia …
Orchestrating scalability
This article explores how cloud computing enables and shapes the scaling of connected and autonomous vehicles (CAVs), positioning cloud infrastructure as a technology, strategy, and imaginary central to the scaling of AI. Using a dataset of 69,421 global patent families, we analyse how diverse actors—including automotive manufacturers, chipmakers, electronics companies, autonomous vehicle firms, and telecom/mapping providers—mobilise cloud techno…
Digital Economy and Work Transformation (2 works) · Ethics and Social Impacts of AI (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Automotive industry (1 work) · Cloud computing (1 work) · Electronics (1 work) · Enhanced Data Rates for GSM Evolution (1 work) · Generative grammar (1 work) · Public domain (1 work) · Scalability (1 work)