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Blockchain infrastructure startup Hyve has unveiled its Data Availability (DA) protocol. HyveDA claims to address critical scalability issues in decentralized applications. The company has announced the closure of a $1.85 million pre-seed funding round. The coming months will be crucial in determining whether Hyve DA can live up to its potential and drive meaningful change.

Michael Saylor is the founder of MicroStrategy, a Business Intelligence company started way back in 1989, now outperforming all companies but Nvidia on the stock market. Saylor bought his first bitcoins as a corporate move to hedge against inflation, and has since pegged the growth of his company and his shareholders’ profit all on one asset - Bitcoin. His plan - Tell tales of...

Abstract and 1 Introduction 2 Problem Formulation and Experiments 3 Experiment Set-up & Results 4 Conclusion and References A. Appendix 2 PROBLEM FORMULATION AND EXPERIMENTS We want to understand the role played by fine-tuning, quantization, and guardrails on LLM’s vulnerability towards jailbreaking attacks. We crea...

AI's growing power needs are putting pressure on energy grids. Companies like Google and Microsoft are turning to nuclear power for a cleaner, reliable solution to sustain AI growth.

DolphinScheduler is a powerful open-source distributed task scheduling system widely used in the big data field for managing complex workflows.

Rust is well known for its focus on memory safety, performance, and concurrency. One of the key aspects of working in any language is managing and organizing data. In Rust, collections play a crucial role in this task. Collections in Rust are versatile and efficient, allowing developers to store, retrieve, and manipulate data in a variety of ways.

Abstract and 1 Introduction 2 Problem Formulation and Experiments 3 Experiment Set-up & Results 4 Conclusion and References A. Appendix ABSTRACT Large Language Models (LLMs) have become very popular and have found use cases in many domains, such as chatbots, auto-task completion agents, and much more. However, LLMs ...

For most people, money means banknotes and coins. Of course, we also know that a banknote is just paper, and a coin is just metal. But what is money really? Money is nothing more than embodied trust! To understand this, it's worth taking a brief look at the history of money.

All you need to know about zero-knowledge proofs. Everything, and I do mean everything! Links to research papers, articles, and GitHub repositories are included.

California-based firm CARV has secured over 10 new collaborations across various sectors. partnerships span CARV's three main business pillars: CARV Protocol, CARV Play, and CARV Labs. The company states it has integrated over 900 games and AI companies, representing what it claims is more than 30% of all Web3 games.

AI revolutionizes business decision-making across industries. GenLayer's AI-powered smart contracts and DAOs offer a new paradigm for efficient, data-driven organizational management.

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. How Fortnite Creative and UEFN Is The Next Big Creative Moneymaker and Why By @goldiechan [ 6 Min read ] Fortnite Creative ...

Cuban isn't the only major Harris donor who's not comfortable with Khan sitting in the FTC chair, but AOC and Sanders are the only ones defending her and the US customers.

How enterprise AI might be up to some shady business—plotting how to rewire the circuits of business, slipping beneath the surface like a virus into the bloodstream. If the tale of the past was a game of chess, the storyboard of the future is a psychological thriller. 

Authors: (1) Haleh Hayati, Department of Mechanical Engineering, Dynamics and Control Group, Eindhoven University of Technology, The Netherlands; (2) Nathan van de Wouw, Department of Mechanical Engineering, Dynamics and Control Group, Eindhoven University of Technology, The Netherlands; (3) Carlos Murguia, Departme...

Authors: (1) Haleh Hayati, Department of Mechanical Engineering, Dynamics and Control Group, Eindhoven University of Technology, The Netherlands; (2) Nathan van de Wouw, Department of Mechanical Engineering, Dynamics and Control Group, Eindhoven University of Technology, The Netherlands; (3) Carlos Murguia, Departme...

Authors: (1) Michal K. Grzeszczyk, Sano Centre for Computational Medicine, Cracow, Poland and Warsaw University of Technology, Warsaw, Poland; (2) M.Sc.; Paulina Adamczyk, Sano Centre for Computational Medicine, Cracow, Poland and AGH University of Science and Technology, Cracow, Poland; (3) B.Sc.; Sylwia Marek, San...

AI and machine learning have changed how people communicate, learn, create, and consume content. With AI entering more and more facets of everyday life, some worry about losing the human element; however, experts in the field of AI are working to not only make AI work for you but also to use it to connect people bet...

The #blockchain-api Writing Contest results are in! After reviewing numerous entries, we celebrate the top three winners: @emmanuelaj (1st place, $500), @defidiver (2nd place, $300), and @ileolami (3rd place, $200). Congratulations to all finalists and winners! To claim your prize, contact the specified HackerNoon email addresses. Explore upcoming contests at contests.hackernoon.com.

Table 5 presents a detailed performance assessment of various audio-language models on the foundation benchmark. The results indicate that, except for binary-choice tasks like Speaker Gender Recognition and Synthesized Voice Detection, all other tasks require a selection from four options, establishing a baseline accuracy of 25% for random choices. Metrics close to these baselines suggest a lack of proficiency in the respective tasks.

The paper presents AIR-Bench, the first benchmark designed for evaluating audio-language models (LALMs) with 19 audio tasks and over 21,000 questions. It includes a novel audio mixing strategy for real-world scenario simulation and a standardized evaluation framework for assessing model performance. A community leaderboard will be launched for consistent performance comparison over time.

The paper compares GPT-4's evaluation consistency with human judgements for LALMs, showing a 98.2% agreement in the foundation benchmark. In the chat benchmark, pairwise comparisons revealed over 70% consistency. An ablation study highlights the impact of positional bias in GPT-4's scoring, reinforcing the need for a two-round evaluation process to mitigate this issue.

The evaluation results show Qwen-Audio Turbo outperforming other LALMs in both foundation and chat benchmarks, while SALMONN excels in mixed audio understanding. GPT-4 improves the success rate for all models to 100%, but challenges remain in instruction-following capabilities, particularly in exact matching tasks. Whisper plus GPT-4 stands out in chat-based speech transcription.

This section details the evaluation of several instruction-following Language-Aligned Audio Models (LALMs) and multi-modality models like SpeechGPT, SALMONN, and Whisper, comparing their performance on both fundamental and chat benchmarks using the largest available model checkpoints.