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603 papers
It is discovered that the energy benefits of quantum computing economies are contingent on large-scale computation, and quantum computing may represent a more sustainable pathway for the computing industry.
The results indicate that a converged moment-matching loss is not a reliable measure of generalization, and that train-classical, deploy-quantum workflows will need approaches that target generalization directly, leaving open whether better training objectives suffice or whether the model architectures themselves must...
This work establishes quantum signal processing (QSP) as a solvable quantum model of the representation-learning regime, and proves a sparse-data guarantee for the full nonlinear gradient flow without freezing or ensemble-averaging the kernel.
Open quantum systems lose energy and phase coherence through different dissipative processes, but these processes can produce overlapping dynamical signatures. The Liouvillian spectrum summarizes how such a system relaxes, yet it is not obvious how much of that spectrum is needed to distinguish the underlying dissipati...
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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.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
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.
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