AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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1,707 papers
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
The results of this study show that the Ball ecosystem has the potential to improve the productivity of software development, however, it should produce smaller and more reasonable software systems, leading to a better reusability and a shorter learning phase for new developers.
It's shown that software developers' happiness pays off when it comes to productivity, and it's also shown that happiness boosts productivity.
This research examines whether and how open source communities can leverage microblogging to improve the quality of their software and increase the likelihood of adoption.
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Software engineering (SE) research needs to incorporate affect measurements to valorize human factors and to enhance management styles.
This study shows that young children are better sources of novel and quality ideas than adults in the mobile services domain and indicates a new and valuable source for the companies that seek creative ideas for innovative products and services.
A wayfaring approach for the early concept creation stage of development projects that have a very high degree of intended innovation and thus uncertainty and the importance of including all the involved disciplines (knowledge domains) from the beginning of the project on.
The initial findings reveal that thriving in technology uncertainty and acquiring the first paying customer are among the top challenges, perceived and experienced by early-stage software startups.
This paper investigates why large companies should adopt Lean startup to seek for radical innovation and identifies the characteristics of internal startups and the lessons learned on practising Lean Startup inside the large software company.
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.
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.
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
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.
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
A Blog post by H company on Hugging Face
The PKG Center for Social Impact expands Code.Tulsa experiential learning program.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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