This is Synthesis

Explore how AI-based models are transforming the synthesis of audience feedback, including clapping, whistling, booing, and laughter.

Related Works on Acoustic Audience Feedback in Large Virtual Events

In my previous <a href="https://medium.com/@kojoaddaquay/decentralizing-the-sharing-economy-a-review-of-the-origin-protocol-bf0003334233" target="_blank">post</a>, we discussed the future of the sharing economy and the exciting innovations that could be central to shaping it. One of the key technologies mentioned was the Interplanetary File System (IPFS). It’s a peer-to-peer (p2p) filesharing system that aims to fundamentally change the way information is distributed across &amp; beyond the globe. IPFS consists of several innovations in communication protocols and distributed systems that have been combined to produce a file system like no other. So to understand the full breadth and depth of what IPFS is trying to achieve, it’s important to understand the tech breakthroughs that make it possible.

A Beginner’s Guide to IPFS

A framework for privacy-preserving cloud computing, combining differential privacy and system immersion to secure data without sacrificing utility.

Privacy in Cloud Computing through Immersion-based Coding: Abstract and Introduction

London-based Bran Symondson uses AK47s as his medium, turning arguably the most dangerous weapon in the world into art. 

Soldier Turned Sculptor Brings AK47s and NFTs Together on the Blockchain

We compared the zero-shot TTS performance of our model with Vall-E, NaturalSpeech 2, and StyleTTS 2.

HierSpeech++: How Does It Compare to Vall-E, Natural Speech 2, and StyleTTS2?

Recently, neural audio codec model, have replaced conventional acoustic representations with a high-compressed audio codec.

Neural Codec Language Models and Non-Autoregressive Models Explained

Multimodal signals typically exhibit modality-specific information that has distinct structure but complementary semantics (Dong et al., 2023). 

Using MLLMs for Diffusion Synthesis That Synergizes Both Sides: How Is This Possible?

Kranthi Kumar Gajji explains how AI, cloud systems, and trading logic can reduce waste, improve sustainability, and optimize agriculture.

Trading Logic Meets Agriculture: Building Smarter Food Systems with AI

Various approaches to benchmarking XPath implementations or test suites for them have been proposed

Finding XPath Bugs in XML Document Processors: Testing XPath Functionality and Other Related Work

This time, we’ll check some tools for musicians available for free on GitHub. If you find them useful, remember that you can donate them via Kivach!

Explore 5 Free Music Software Tools Open for Donations on Kivach 

This article compares a novel denoising diffusion model for code generation (Tree-Diffusion) against two baseline methods, CSGNet and REPL Flow. 

The New Standard for Program Synthesis: How Tree-Diffusion Outperforms CSGNet and REPL Flow

Discover how Rust and RAR enable memory-safe, high-assurance hardware/software co-design, with applications from cryptography to autonomous systems.

The Case for Rust Programming as a Game-Changer for High-Level Synthesis

Researchers have developed a text-to-image generation model called Kandinsky that uses a novel latent diffusion model to produce images that appear natural.

Russian Scientists Say New AI Architecture Produces State-of-the-Art Text-to-Image Synthesis

With the evergrowing scale of vision-language datasets and pretraining strategies, there has been a remarkable progress in text-driven image generation

Text-Driven Image & Video Synthesis: A Closer Look

In this study, we propose HierSpeech++, a human-level zeroshot speech synthesis model in terms of naturalness and voice similarity.

Introducing Hierspeech++: A Human-Level Zeroshot Speech Synthesis Model

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis: Quantitative result

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis: Abstract and Intro

We’ve heard of deepfakes, we’ve heard of NeRFs, and we’ve seen these kinds of applications allowing you to recreate someone’s face and pretty much make him say whatever you want.

Efficient NeRFs for Real-Time Portrait Synthesis (RAD-NeRF)

eDiffi, NVIDIA's most recent model, generates better-looking and more accurate images than all previous approaches like DALLE 2 or Stable Diffusion.

An Intro to eDiffi: NVIDIA's New SOTA Image Synthesis Model

I was writing a chat bot where a user interacts with a machine learning powered bot, then I wanted to write a general example application for anybody to use it. In this application, there will not be any intelligence. The bot will simply recite what it heard so that anyone can implement his/her own logic. 

Speech Recognition And Speech Synthesis on Angular

As put forth countless times before I, there are indeed an untold number of abysmal projects and cash-grabs currently in the cryptocurrency sector (see:<em> </em><a href="https://hackernoon.com/are-icos-a-scam-can-they-provide-a-different-approach-to-venture-capital-funding-8b1b15e97dba" target="_blank"><em>Are ICOs a Scam</em></a>). These serve the purpose of lining the investors’ and team’s pockets. However, Raiden does not fit this mold, rather the Raiden Network shapes one of its own: it has the potential to become one of the most ambitious projects in the next decade as <a href="https://hackernoon.com/tagged/blockchain" target="_blank">blockchain</a> scaling becomes a tenuous issue.

The Synthesis of Raiden and Ethereum

OPT provides open access to GPT-3 scale language models, enabling responsible AI research with lower compute costs and reproducible experiments.

OPT-175B is Comparable to GPT-3 While Requiring Only 1/7th the Carbon Footprint 

Chinedu Okafor shares how AI-driven efficiency and human empathy combine to build trust, improve retention, and scale customer success.

Chinedu Okafor on Human-Centric Customer Success

RAG optimizes language model outputs by having them reference external knowledge bases before generating responses. 

9 RAG Architectures Every AI Developer Should Know: A Complete Guide with Examples

Our Human Centred Data Science Products team is building a suite of digital marketing products for collaborative strategic planning

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Related Works on Acoustic Audience Feedback in Large Virtual Events

A Beginner’s Guide to IPFS

Privacy in Cloud Computing through Immersion-based Coding: Abstract and Introduction

Soldier Turned Sculptor Brings AK47s and NFTs Together on the Blockchain

HierSpeech++: How Does It Compare to Vall-E, Natural Speech 2, and StyleTTS2?

Neural Codec Language Models and Non-Autoregressive Models Explained

Using MLLMs for Diffusion Synthesis That Synergizes Both Sides: How Is This Possible?

Trading Logic Meets Agriculture: Building Smarter Food Systems with AI

Finding XPath Bugs in XML Document Processors: Testing XPath Functionality and Other Related Work

Explore 5 Free Music Software Tools Open for Donations on Kivach

The New Standard for Program Synthesis: How Tree-Diffusion Outperforms CSGNet and REPL Flow

The Case for Rust Programming as a Game-Changer for High-Level Synthesis

Russian Scientists Say New AI Architecture Produces State-of-the-Art Text-to-Image Synthesis

Text-Driven Image & Video Synthesis: A Closer Look

Introducing Hierspeech++: A Human-Level Zeroshot Speech Synthesis Model

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis: Quantitative result

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis: Abstract and Intro

Efficient NeRFs for Real-Time Portrait Synthesis (RAD-NeRF)

An Intro to eDiffi: NVIDIA's New SOTA Image Synthesis Model

Speech Recognition And Speech Synthesis on Angular

The Synthesis of Raiden and Ethereum

OPT-175B is Comparable to GPT-3 While Requiring Only 1/7th the Carbon Footprint

Chinedu Okafor on Human-Centric Customer Success

9 RAG Architectures Every AI Developer Should Know: A Complete Guide with Examples

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