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edge computing

3,069 papers

#computer vision Open access May 2019

Hypotheses Engineering: First Essential Steps of Experiment-Driven Software Development

Recent studies have proposed the use of experiments to guide software development in order to build features that the user really wants. Some authors argue that this approach represents a new way to develop software that is different from the traditional requirement-driven one. In this position paper, we propose the di...

Jorge Melegati, Xiaofeng Wang, P. Abrahamsson · 20 citations · ⚡2
#artificial intelligence Conference Open access May 2019

Ethically Aligned Design: An Empirical Evaluation of the RESOLVEDD-Strategy in Software and Systems Development Context

A key finding from the study indicates that simply the presence of an ethical tool has an effect on ethical consideration, creating more responsibility even in instances where the use of the tool is not intrinsically motivated.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 17 citations · ⚡2
#computer vision Open access Jun 2019

Implementing Ethics in AI: Initial Results of an Industrial Multiple Case Study

This paper begins to address the focal problem of implementing ethics into AI system design and development in practice by providing elements needed for producing a baseline for ethics in AI based software development by means of an industrial multiple case study on AI systems development in the healthcare sector.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 18 citations · ⚡3
#computer vision Open access Jul 2020

Towards a Secure DevOps Approach for Cyber-Physical Systems: An Industrial Perspective

The study shows that, because security is a cross-cutting property in complex CPSs, its proficient management requires system-wide competencies and capabilities across the CPSs development and operation.

P. Abrahamsson, Goetz Botterweck, Hadi Ghanbari et al. · 14 citations
#artificial intelligence Conference Open access Apr 2020

ECCOLA - a Method for Implementing Ethically Aligned AI Systems

The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 64 citations · ⚡6
#computer vision Review Open access 2020

Startup Metrics That Tech Entrepreneurs Need to Know

In this chapter, the results of a multivocal literature review are presented to offer 118 metrics practitioner experts think software startups should measure that can give you ideas for what your startup should measure.

Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc et al. · 8 citations · ⚡1
#artificial intelligence Book Open access Apr 2020

A Multiple Case Study of Artificial Intelligent System Development in Industry

This investigation revealed different types of AI systems and different AI development approaches, but it is common that business opportunities involving with AI systems are not validated and there is lack of business-driven metrics that guide the development ofAI systems.

Anh Nguyen-Duc, Ingrid Sundbø, E. Nascimento et al. · 20 citations · ⚡1
#computer vision Open access Feb 2021

Software Startup Practices - Software Development in Startups Through the Lens of the Essence Theory of Software Engineering

This paper study software development in startups from the point of view of practices to better understand how startups develop software, and devise a list of practices which are categorized using the Essence Theory of Software Engineering (Essence).

Kai-Kristian Kemell, Ville Ravaska, Anh Nguyen-Duc et al. · 5 citations
#computer vision Open access Mar 2021

The entrepreneurial logic of startup software development: A study of 40 software startups

This study investigates the tactics behind software engineering (SE) activities by analyzing key engineering events during startup journeys and explores how entrepreneurial mindsets may be associated with SE knowledge areas and with each startup case.

Anh Nguyen-Duc, Kai-Kristian Kemell, P. Abrahamsson · 23 citations · ⚡1
#machine learning Review Open access Apr 2023

StartCards - A method for early-stage software startups

The first published version of StartCards is presented, which is considered useful for early-stage startups and can also be used as a pedagogical tool in startup education.

Kai-Kristian Kemell, Anh Nguyen-Duc, Mari Suoranta et al. · 25 citations · ⚡1

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Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

Microsoft Research Blog Oct 21, 2026

Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

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…

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

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.

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