Hackernoon

You know security is an overwhelming term and while I had the luxury to work for security firms, I find it infuriating at times. There are just too many layers to add and protect. It’s a real thing to say that only a properly disconnected system can be made secure. The rest depends on the … Read more

Code ownership might not be a pressing concern when a small team of around 10 developers works on the same system. However, as the engineering team scales to 500, with hundreds of developers contributing to the same system, the dynamics change significantly. This was a challenge my organization faced from two years ago till now … Read more

What is Uplift Modeling ? When faced with the problem of trying to influence prospective customers into buying your product an obvious choice is to run precisely targeted Marketing campaigns. Now what do the words precise targeting mean. In the Universe of prospective customers there are only so many types. Sure Things : These customers will … Read more

Errors in a PowerShell script can prevent successful execution. Implementing try-catch blocks enables error management and response. This post covers try/catch basics and how to handle custom error messages in PowerShell. Effective error handling saves troubleshooting time and improves user experience. PowerShell offers robust options for exception management with try, catch, and finally blocks. Learn … Read more

Learn how to programmatically fetch and embed your liked Bluesky posts using authentication, API calls, and oEmbed endpoints. I’ve recently made the move over to Bluesky. I can already confirm that there is a vibrant tech community there with tons of interesting, useful, and inspiring content. I’m a happy new user! As a result, I’ve … Read more

Uploading and download files in web browser is a common task in virtually any web application or service. This article shows how to do this with very little coding – in less than 100 lines of code. The database used is PostgreSQL, and the web server is Nginx. n n You will use Gliimly as … Read more

While some websites are straightforward to scrape by using just Selenium, Puppeteer, and the like, other websites that implement advanced security measures such as CAPTCHAs and IP bans may prove difficult. To overcome these challenges and ensure you can scrape 99% of websites for free using the Scraper, you will be building this in this … Read more

Have you ever needed to modify unstructured JSON data in Go? Maybe you’ve had to delete password and all blacklisted fields, rename keys from camelCase to snake_case, or convert all number ids to strings because JavaScript does not like int64? If your solution has been to unmarshal everything into a map[string]any using encoding/json and then … Read more

Ever been in a conversation where you felt like your brain was melting? You know the kind. You’re making a point — calmly, rationally, maybe even with a dash of charm — and suddenly you’re drowning in a tidal wave of nonsense. Personal attacks. Wild conclusions. The type of logic that makes you wonder if … Read more

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Lumoz Protocol Mainnet Launch: MOZ Tokens and Node Claims Now Open! By @lumoz [ 4 Min read ] Today, we are … Read more

Table of Links Abstract and 1 Introduction 2 Related Work 2.1 Neural Codec Language Models and 2.2 Non-autoregressive Models 2.3 Diffusion Models and 2.4 Zero-shot Voice Cloning 3 Hierspeech++ and 3.1 Speech Representations 3.2 Hierarchical Speech Synthesizer 3.3 Text-to-Vec 3.4 Speech Super-resolution 3.5 Model Architecture 4 Speech Synthesis Tasks 4.1 Voice Conversion and 4.2 Text-to-Speech … Read more

Table of Links Abstract and 1 Introduction 2 Related Work 2.1 Neural Codec Language Models and 2.2 Non-autoregressive Models 2.3 Diffusion Models and 2.4 Zero-shot Voice Cloning 3 Hierspeech++ and 3.1 Speech Representations 3.2 Hierarchical Speech Synthesizer 3.3 Text-to-Vec 3.4 Speech Super-resolution 3.5 Model Architecture 4 Speech Synthesis Tasks 4.1 Voice Conversion and 4.2 Text-to-Speech … Read more

Table of Links Abstract and 1 Introduction 2 Related Work 2.1 Neural Codec Language Models and 2.2 Non-autoregressive Models 2.3 Diffusion Models and 2.4 Zero-shot Voice Cloning 3 Hierspeech++ and 3.1 Speech Representations 3.2 Hierarchical Speech Synthesizer 3.3 Text-to-Vec 3.4 Speech Super-resolution 3.5 Model Architecture 4 Speech Synthesis Tasks 4.1 Voice Conversion and 4.2 Text-to-Speech … Read more

Table of Links Abstract and 1 Introduction 2 Related Work 2.1 Neural Codec Language Models and 2.2 Non-autoregressive Models 2.3 Diffusion Models and 2.4 Zero-shot Voice Cloning 3 Hierspeech++ and 3.1 Speech Representations 3.2 Hierarchical Speech Synthesizer 3.3 Text-to-Vec 3.4 Speech Super-resolution 3.5 Model Architecture 4 Speech Synthesis Tasks 4.1 Voice Conversion and 4.2 Text-to-Speech … Read more

Table of Links Abstract and 1 Introduction 2 Related Work 2.1 Neural Codec Language Models and 2.2 Non-autoregressive Models 2.3 Diffusion Models and 2.4 Zero-shot Voice Cloning 3 Hierspeech++ and 3.1 Speech Representations 3.2 Hierarchical Speech Synthesizer 3.3 Text-to-Vec 3.4 Speech Super-resolution 3.5 Model Architecture 4 Speech Synthesis Tasks 4.1 Voice Conversion and 4.2 Text-to-Speech … Read more

Table of Links Abstract and 1 Introduction 2 Related Work 2.1 Neural Codec Language Models and 2.2 Non-autoregressive Models 2.3 Diffusion Models and 2.4 Zero-shot Voice Cloning 3 Hierspeech++ and 3.1 Speech Representations 3.2 Hierarchical Speech Synthesizer 3.3 Text-to-Vec 3.4 Speech Super-resolution 3.5 Model Architecture 4 Speech Synthesis Tasks 4.1 Voice Conversion and 4.2 Text-to-Speech … Read more

Table of Links Abstract and 1 Introduction 2 Related Work 2.1 Neural Codec Language Models and 2.2 Non-autoregressive Models 2.3 Diffusion Models and 2.4 Zero-shot Voice Cloning 3 Hierspeech++ and 3.1 Speech Representations 3.2 Hierarchical Speech Synthesizer 3.3 Text-to-Vec 3.4 Speech Super-resolution 3.5 Model Architecture 4 Speech Synthesis Tasks 4.1 Voice Conversion and 4.2 Text-to-Speech … Read more

Table of Links Abstract and 1 Introduction 2 Related Work 2.1 Neural Codec Language Models and 2.2 Non-autoregressive Models 2.3 Diffusion Models and 2.4 Zero-shot Voice Cloning 3 Hierspeech++ and 3.1 Speech Representations 3.2 Hierarchical Speech Synthesizer 3.3 Text-to-Vec 3.4 Speech Super-resolution 3.5 Model Architecture 4 Speech Synthesis Tasks 4.1 Voice Conversion and 4.2 Text-to-Speech … Read more

Table of Links Abstract and 1 Introduction 2 Related Work 2.1 Neural Codec Language Models and 2.2 Non-autoregressive Models 2.3 Diffusion Models and 2.4 Zero-shot Voice Cloning 3 Hierspeech++ and 3.1 Speech Representations 3.2 Hierarchical Speech Synthesizer 3.3 Text-to-Vec 3.4 Speech Super-resolution 3.5 Model Architecture 4 Speech Synthesis Tasks 4.1 Voice Conversion and 4.2 Text-to-Speech … Read more

:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal contribution. ::: Table of Links Abstract and 1 Introduction 2 State Space Models 3 Selective State Space Models and 3.1 Motivation: Selection as a Means of Compression 3.2 … Read more

MIAMI, Florida, December 16th, 2024/Chainwire/–Floki is set to make its mark at the 2024 World Tennis League (WTL), one of the most exciting mixed-gender exhibition tennis tournaments in the world.  Held at the Etihad Arena in Abu Dhabi from December 19 to December 22, this year’s event combines world-class tennis with live music, set to … Read more

PALO ALTO, California, December 16th, 2024/Chainwire/–This partnership establishes the first AI x Web3 Lab at Stanford University’s Future of Digital Currency Initiative. Stanford University’s Future of Digital Currency Initiative (FDCI) and Eliza Labs, creators of the open-source Eliza agent framework, today announced a groundbreaking research partnership to explore how autonomous AI agents will transform digital … Read more

GEORGETOWN, Cayman Islands, December 16th, 2024/Chainwire/–During the testnet phase, over 1.3m users contributed more than 6.5m data points to train user-owned AI models. Vana, the pioneering network for user-owned data, today announced the launch of its mainnet and native $VANA token. The launch marks a significant milestone in breaking through the data wall that’s limiting … Read more

:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal contribution. ::: Table of Links Abstract and 1 Introduction 2 State Space Models 3 Selective State Space Models and 3.1 Motivation: Selection as a Means of Compression 3.2 … Read more

NEW YORK, USA, December 16th, 2024/Chainwire/–In a celebration of innovation, Forbes Web3 proudly showcases the community members who hold the Forbes Legacy Pass in its December 2024/January 2025 issue. The Forbes Legacy Pass is more than a membership- it’s a transformative experience bringing together a cohort of global entrepreneurs, founders, and creators. It grants members … Read more

This is the second-last edition of this year’s “Tech, What the Heck!?” newsletter. To commemorate yet another year of writing this once-weekly newsletter, I’m going to recap some of the major events that I covered this year and some of my favorite editions of “Tech, What the Heck.” 😉 During 2024, I personally wrote over … Read more

SEYCHELLES, Seychelles, December 16th, 2024/Chainwire/–On November 27, 2024, BYDFi announced its official membership in South Korea’s CODE VASP Alliance. The partnership includes successful integration with the Travel Rule compliance solution, ensuring adherence to South Korea’s regulatory standards for crypto transactions. CODE formally welcomed BYDFi’s participation at the same time as a post. This important moment … Read more

:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal contribution. ::: Table of Links Abstract and 1 Introduction 2 State Space Models 3 Selective State Space Models and 3.1 Motivation: Selection as a Means of Compression 3.2 … Read more

Table of Links Abstract and Introduction SylloBio-NLI Empirical Evaluation Related Work Conclusions Limitations and References A. Formalization of the SylloBio-NLI Resource Generation Process B. Formalization of Tasks 1 and 2 C. Dictionary of gene and pathway membership D. Domain-specific pipeline for creating NL instances and E Accessing LLMs F. Experimental Details G. Evaluation Metrics H. … Read more

Hey there, fellow coders and problem solvers! Are you passionate about Data Structures and Algorithms (DSA)? Do you love solving problems in Java or Python? Are you eager to contribute to an open-source project that’s all about making DSA easier for everyone? If you just nodded along, we have some exciting news for you: the DSA-Guide … Read more