September 15, 2024

Hardware

Intel giving FULL refunds for faulty Core i9-13900K CPUs, some get swapped with the 14900K

Intel is providing a full refund or swapping out affected 13th Gen Core and 14th Gen Core CPUs with the Core i9-14900K, with Intel’s hero act possibly starting. Intel had flaws in its RMA process, seeing the company reject “valid” RMA requests just weeks ago, but now, there has been multiple people posting on social media that have worked the system, leveraging the flaw in Intel’s RMA process and benefitting big time. X user “Pk1”

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Hardware

Sony says setting up a PC can be ‘difficult’ compared to consoles, after $699 price on PS5 Pro

The $699 pricing for the new PlayStation 5 Pro from Sony has some gamers upset, and now the company is playing defense with some statements to Nikkei that setting up a PC is more “difficult” compared to a console. VIEW GALLERY – 2 IMAGES Speaking with Nikkei, Hideaki Nishino, the CEO of the Platform Business Group at Sony Interactive Entertainment, said that the key selling point to its userbase with the new PS5 Pro is

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Software

The Impact of Remote Pair Programming in an Upper-Level CS Course | HackerNoon

In this section, we describe all the variables we will consider in our study. Note that depending on the development of the twincode platform, more automatically measured dependent variables could be added in the future. When used, abbreviations are enclosed in parentheses after variables’ names. Authors: (1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]); (2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]); (3) Beatriz Bernárdez,

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Software

Does Gender Bias Influence Remote Pair Programming? | HackerNoon

Table of Links Abstract and 1 Introduction 1.1 The twincode platform 1.2 Related Work 2 Research Questions 3 Variables 3.1 Independent Variables 3.2 Dependent Variables 3.3 Confounding Variables 4 Participants 5 Execution Plan and 5.1 Recruitment 5.2 Training and 5.3 Experiment Execution 5.4 Data Analysis Acknowledgments and References 2 RESEARCH QUESTIONS Our study is based on the hypothesis that gender bias will lead to observable differences based on subjects’ perceptions of the gender of their

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Examining Gender Bias in Pair Programming: Insights from Empirical Studies | HackerNoon

Table of Links Abstract and 1 Introduction 1.1 The twincode platform 1.2 Related Work 2 Research Questions 3 Variables 3.1 Independent Variables 3.2 Dependent Variables 3.3 Confounding Variables 4 Participants 5 Execution Plan and 5.1 Recruitment 5.2 Training and 5.3 Experiment Execution 5.4 Data Analysis Acknowledgments and References Several literature reviews [10, 15, 21] have compiled the empirical research on using pair programming in higher education, with [6] being focused on distributed pair programming from

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Software

How Twincode Measures Gender Bias in Remote Pair Programming Environments | HackerNoon

Table of Links Abstract and 1 Introduction 1.1 The twincode platform 1.2 Related Work 2 Research Questions 3 Variables 3.1 Independent Variables 3.2 Dependent Variables 3.3 Confounding Variables 4 Participants 5 Execution Plan and 5.1 Recruitment 5.2 Training and 5.3 Experiment Execution 5.4 Data Analysis Acknowledgments and References 1.1 The twincode platform To support our study, we have developed the twincode remote pair programming platform, which manages the registration of students, the random allocation to

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Software

Can Perceived Gender Bias Shape Pair Programming in Remote Settings? | HackerNoon

Authors: (1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]); (2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]); (3) Beatriz Bernárdez, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]); (4) Nathaniel Weinman, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]); (5) Aslı Akalın, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]); (6) Armando Fox, Computer Science Division, University of California,

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Why data science alone won’t make your product successful

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The last decade has seen the divide between tech and commercial teams thin almost to the point of nonexistence. And I, for one, am in favor of it. Not every tech team works in a tech company, and blurring the lines between the commercial and technological means that we can build and ship product safe in

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AI

Introducing NumPy, Part 3: Manipulating Arrays

Shaping, transposing, joining, and splitting arrays Lee Vaughan · Follow Published in Towards Data Science · 8 min read · 9 hours ago — Manipulating an array as imagined by DALL-E3 Welcome to Part 3 of Introducing NumPy, a primer for those new to this essential Python library. Part 1 introduced NumPy arrays and how to create them. Part 2 covered indexing and slicing arrays. Part 3 will show you how to manipulate existing arrays

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AI

Applications of Rolling Windows for Time Series, with Python

Here’s some powerful applications of Rolling Windows and Time Series Piero Paialunga · Follow Published in Towards Data Science · 11 min read · 12 hours ago — Photo by Claudia Aran on Unsplash Last night I was doing laundry with my wife. We have this non-verbal agreement (it becomes pretty verbal when I break it though) about laundry: she is the one who puts the laundry in the washer and drier and I am

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