Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Category

computer vision

4,009 papers

#computer vision Review Feb 2015

The Contemporary Understanding of User Experience in Practice

The preliminary results show that the practitioners more often focus on interaction between product and user and view UX from design perspective predominantly, while the economical perspective receives little attention in literature, it is evident in practitioners writings.

Stefan Hellweger, Xiaofeng Wang, P. Abrahamsson · 5 citations
#computer vision Book Aug 2015

Hunter-gatherer cycle: a conceptual model of the evolution of software startups

The results show that the proposed conceptual model can capture innovation generation activities and the non-linear evolution of engineering activities in software startups, which is not presentable in current software life cycle models.

Anh Nguyen-Duc, P. Seppänen, P. Abrahamsson · 53 citations
#computer vision May 2016

Bringing the Cloud to Rural and Remote Areas - Cloudlet by Cloudlet

This work proposes a hardware platform based on small single-board computers that is extendable and scalable as well as easy to deploy, relying on an open design and illustrates how to build such a system without incurring high costs, high power consumption, or single points of failure.

P. Abrahamsson, S. Helmer, Tosin Daniel Oyetoyan et al. · 2 citations
#computer vision Book Nov 2016

Bringing the Cloud to Rural and Remote Areas via Cloudlets

This work proposes a hardware platform based on small single-board computers that is extendable and scalable as well as easy to deploy, relying on an open design and illustrates how to build such a system without incurring high costs, high power consumption, or single points of failure.

S. Helmer, C. Pahl, J. Sanin et al. · 18 citations
#machine learning May 2016

What leads developers towards the choice of a JavaScript framework?

A model of factors that are desirable to be found in a JSF and a representation of the decision makers involved in the frameworks selection is offered, which contributes to the body of knowledge related to the decision-making process when selecting aJSF.

Amantia Pano, D. Graziotin, P. Abrahamsson · 7 citations · ⚡1
#computer vision May 2016

Rationale leading to the adoption of a JavaScript framework

A model of desirable JSF factors is offered that contributes to the body of knowledge related to the decision-making process when selecting a JSF and is useful for Web and JSF developers.

Amantia Pano, D. Graziotin, P. Abrahamsson · 7 citations · ⚡1
#computer vision May 2016

Factors and actors leading to the adoption of a JavaScript framework

A model of desirable JavaScript framework adoption factors is offered that contributes to the body of knowledge related to the adoption of technology by software engineers and is useful for decision makers when evaluating JavaScript frameworks, as well as for developers for producing desirable frameworks.

Amantia Pano, D. Graziotin, P. Abrahamsson · 35 citations · ⚡1

From tech blogs

See all →
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 6, 2026

What AI gets wrong and what failure teaches us

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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.