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2,705 papers
Carbon-Aware Governance Gates (CAGG), an architectural extension that embeds carbon budgets, energy provenance, and sustainability-aware validation orchestration into human-AI governance layers, is proposed.
Tree-based algorithms, such as XGBOOST – an open source implementation of Gradient Boosted Decision Trees (GBDT) – are ubiquitous for many Machine Learning (ML) tasks, especially when dealing with tabular/structured data and requir- ing explainability. As dataset size continues to grow, training ensembles of trees (ran...
Rapid urbanization has significantly increased pressure on transportation systems, healthcare, energy distribution, environmental monitoring, waste management, public safety, and other municipal services. Traditional city management approaches are increasingly unable to process the enormous volume of heterogeneous data...
Rapid urbanization has significantly increased pressure on transportation systems, healthcare, energy distribution, environmental monitoring, waste management, public safety, and other municipal services. Traditional city management approaches are increasingly unable to process the enormous volume of heterogeneous data...
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Literature and practice has established that the lack of management commitment has been one of the top reasons for a failed SPI (software process improvement) initiative. The paper reports results from an ongoing study aimed at clarifying the role and the meaning of management commitment in SPI initiatives. Results fro...
It is shown that current thinking relies on models of commitment that are flawed in both academic and practical sense and four misconceptions are identified in current thinking.
The results indicate that there exist differences in the views of the nature of UCD, and in the motives for implementing it, in the experiences gained and interpretations made of the use of it in relation to each subculture.
This thesis suggests that the commitment phenomenon is better explained through what can be called strategic, operational and personal commitment nets, which can be used for analyzing the unfolding and alteration of commitment towards a specific entity, in this case a software process improvement endeavor, through time...
Results from the University of Oulu in Finland, where PSP is a mandatory course for students majoring in software engineering, do not indicate a significant improvement in size or effort estimation skills, but the defects found in the unit test phase were decreased.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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