stp2y

33144 Posts
The Fitbit Charge 6 drops to $100 for Prime Day
16 Jul

The Fitbit Charge 6 drops to $100 for Prime Day

stp2y0 CommentsNews, , , , , , ,
Amazon Prime Day is here, and among the many tech-related deals we’ve seen is one for the Fitbit Charge 6, which happens to be Engadget's best fitness tracker overall. This fitness watch has received a $60 discount, bringing the price down to a record low of $100.The Fitbit Charge 6’s popularity lies in the fact that it has over 40 exercise modes for it to track, up from 20 with the Fitbit Charge 5. You can pair the watch with any exercise machine that has Bluetooth compatibility so that you can see your heart rate in real time during your…
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push() Method in JavaScript
16 Jul

push() Method in JavaScript

stp2y0 CommentsNews, , , , , , , , ,
The push() method in JavaScript adds one or more elements to the end of an array. This method modifies the original array and returns the new length of the array. Syntax : array.push(element1, element2, ..., elementN); Enter fullscreen mode Exit fullscreen mode *Example 1.: * const fruits = ["Apple", "Banana"]; fruits.push("Orange", "Mango"); console.log(fruits); // Output: ["Apple", "Banana", "Orange", "Mango"] Enter fullscreen mode Exit fullscreen mode *Example 2.: *How to Dynamically Add Elements Using the push() Method index.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Fruit List</title> <link rel="stylesheet" href="https://dev.to/sudhanshu_developer/style.css"> </head> <body> <div id="container"> <h2>Fruit List</h2> <input…
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The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
16 Jul

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

stp2y0 CommentsViral News
arXiv:2407.09618v1 Announce Type: new Abstract: Homophily principle, ie{} nodes with the same labels or similar attributes are more likely to be connected, has been commonly believed to be the main reason for the superiority of Graph Neural Networks (GNNs) over traditional Neural Networks (NNs) on graph-structured data, especially on node-level tasks. However, recent work has identified a non-trivial set of datasets where GNN's performance compared to the NN's is not satisfactory. Heterophily, i.e. low homophily, has been considered the main cause of this empirical observation. People have begun to revisit and re-evaluate most existing graph models, including graph transformer and…
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5 mistakes to avoid when you’re posting about your new job on LinkedIn, according to an HR expert
16 Jul

5 mistakes to avoid when you’re posting about your new job on LinkedIn, according to an HR expert

stp2y0 CommentsRAG models
A LinkedIn job announcement post is often where your professional network first learns of your new position. It could be seen by past, present, and future employers — so it's definitely something worth putting some time into.Carly Holm, founder of Nashville-based Humani HR, has 16 years of experience in human resources and previously held roles at Bank of America and the Canadian Imperial Bank of Commerce. She told Business Insider she loves it when people announce their new jobs on LinkedIn.Holm said it's a positive thing as an employer to see a new hire's network commenting and engaging with these…
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OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
16 Jul

OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation

stp2y0 CommentsViral News
arXiv:2407.09498v1 Announce Type: new Abstract: While Vision Transformers (ViTs) have demonstrated remarkable capabilities in learning representations, their performance is compromised when applied to unseen domains. Previous methods either engage in prompt learning during the training phase or modify model parameters at test time through entropy minimization. The former often overlooks unlabeled target data, while the latter doesn't fully address domain shifts. In this work, our approach, Optimal Transport-guided Test-Time Visual Prompting (OT-VP), handles these problems by leveraging prompt learning at test time to align the target and source domains without accessing the training process or altering pre-trained model parameters. This…
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Kindo raises $20.6M to bring security to enterprise AI
16 Jul

Kindo raises $20.6M to bring security to enterprise AI

stp2y0 CommentsChat-GPT
GamesBeat is excited to partner with Lil Snack to have customized games just for our audience! We know as gamers ourselves, this is an exciting way to engage through play with the GamesBeat content you have already come to love. Start playing games here.  Kindo, an enterprise AI security platform, has raised $20.6 million in funding and it also acquired open-source security project WhiteRabbitNeo. Ron Williams, CEO of Kindo, said in an interview with VentureBeat that the company was started to make it safe for enterprises to adopt and manage AI technologies, including generative AI. Drive Capital led the round,…
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MATE: Meet At The Embedding — Connecting Images with Long Texts
16 Jul

MATE: Meet At The Embedding — Connecting Images with Long Texts

stp2y0 CommentsViral News
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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