AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,089 papers
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.
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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.
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.
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.
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.
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Data Mining & Modeling
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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