A5089575133- Global trade and economics
- Global trade, sustainability, and social impact
- Regional Development and Policy
- Economic and Technological Innovation
- Global Trade and Competitiveness
- Regional Economics and Spatial Analysis
- Innovation Policy and R&D
- Machine Learning in Healthcare
- Supply Chain Resilience and Risk Management
- Machine Learning and Data Classification
- Innovation and Knowledge Management
- Regional resilience and development
- Computability, Logic, AI Algorithms
- Business Strategy and Innovation
- Economic Policies and Impacts
- Outsourcing and Supply Chain Management
- Scheduling and Optimization Algorithms
- Explainable Artificial Intelligence (XAI)
IMT School for Advanced Studies Lucca
2017-2023
The 2024 Index is our most comprehensive to date and arrives at an important moment when AI's influence on society has never been more pronounced. This year, we have broadened scope extensively cover essential trends such as technical advancements in AI, public perceptions of the technology, geopolitical dynamics surrounding its development. Featuring original data than ever before, this edition introduces new estimates AI training costs, detailed analyses responsible landscape, entirely...
Welcome to the sixth edition of AI Index Report. This year, report introduces more original data than any previous edition, including a new chapter on public opinion, thorough technical performance chapter, analysis about large language and multimodal models, detailed trends in global legislation records, study environmental impact systems, more. The Report tracks, collates, distills, visualizes related artificial intelligence. Our mission is provide unbiased, rigorously vetted, broadly...
The costs of training frontier AI models have grown dramatically in recent years, but there is limited public data on the magnitude and growth these expenses. This paper develops a detailed cost model to address this gap, estimating using three approaches that account for hardware, energy, cloud rental, staff analysis reveals amortized train most compute-intensive has precipitously at rate 2.4x per year since 2016 (95% CI: 2.0x 3.1x). For key models, such as GPT-4 Gemini, significant...
Abstract In this study we empirically tested the effect of EU cohesion policy using a unique dataset 273,500 European manufacturing firms, combining regional data at UN Nomenclature Territorial Units for Statistics‐2 level with total factor productivity (TFP) firm‐level. framework heterogeneous firms and regions' different absorptive capacity, show that financing by development fund aimed direct investments in R&D is associated improvement firms' region, while funding designed to support...
This paper presents the latest version of Global AI Vibrancy Tool (GVT), an interactive suite visualizations designed to facilitate comparison vibrancy across 36 countries, using 42 indicators organized into 8 pillars. The tool offers customizable features that allow users conduct in-depth country-level comparisons and longitudinal analyses AI-related metrics, all based on publicly available data. By providing a transparent assessment national progress in AI, it serves diverse needs...
Abstract We introduce the Input Rank as a network measure of relevance direct and indirect suppliers in Global Value Chains. conceive an intermediate input to be more relevant for downstream buyer if negative shock that input's productivity affects more. In particular, our framework, any depends on: (i) position supplier relative buyer, (ii) patterns intensities connecting supplier, (iii) competitive pressures along supply chains. After we compute from both U.S. world input–output tables,...
In this paper, we empirically test the effect of EU Cohesion Policy using a unique dataset 273,500 European manufacturing firms, combining regional policy data at NUTS-2 level with firm-level total factor productivities (TFP). framework heterogeneous firms and different absorptive capacity by regions, show that financing Regional Development Fund (ERDF) aimed direct investments in R&D is associated improvement firms’ productivity region, while funding designed overall Business Support not....
We introduce the Input Rank as a measure of relevance direct and indirect suppliers in Global Value Chains. conceive an intermediate input to be more relevant for downstream buyer if decrease that input's productivity affects more. In particular, our framework, any depends on: i) network position supplier relative buyer, ii) patterns inputs intensities connecting supplier, iii) competitive pressures along supply chains. After we compute from both U.S. world Input-Output tables, provide...
In this contribution, we introduce a network approach for the organization of global production across national borders, beyond sequential industry-level metrics proposed in previous literature. First, show and argue that several characteristics processes would be lost analysis when assuming they could proxied as linear sequences. Hence, propose an index assesses relevance any input target output, including its role inputs. Thereafter, exploit own-built firm-level dataset about 20,489 U.S....
We introduce the Input Rank as a measure of relevance direct and indirect suppliers in Global Value Chains. conceive an intermediate input to be more relevant for downstream buyer if decrease that input's productivity affects more. In particular, our framework, any depends: i) on network position supplier relative buyer, ii) patterns inputs vs labor intensities connecting supplier, iii) competitive pressures along supply chains. After we compute from both U.S. world Input-Output tables,...