Загрузка видео...

Не удалось загрузить видео

На главную

Built a project that makes music more fun with real-time audio visualizations: -Analyzes tracks before playback -Stores data about each track -Creates sickk, audio-reactive visuals using the stored data.

TusharMagar_'s profile picture

Tushar Magar

1,133 subscribers

14,039 просмотров • 1 год назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

The 375ai Mainnet is live! 375ai indexes the real world, transforming video, audio and environmental data into real time intelligence using edge AI. A new data layer for the physical world, now on @Solana
0:55

The 375ai Mainnet is live! 375ai indexes the real world, transforming video, audio and environmental data into real time intelligence using edge AI. A new data layer for the physical world, now on @Solana

375ai

227,848 просмотров • 10 месяцев назад

Here's a real-time audio-reactive (sound on 🔊) fire sim running in Unreal 5.6. Each of the small emitters is linked to a different frequency of the audio spectrum. I've been experimenting with audio-driven Niagara FX and will be sharing more soon.
0:41

Here's a real-time audio-reactive (sound on 🔊) fire sim running in Unreal 5.6. Each of the small emitters is linked to a different frequency of the audio spectrum. I've been experimenting with audio-driven Niagara FX and will be sharing more soon.

Jesse Pitela

26,780 просмотров • 1 год назад

New open-source LoRA built in-house: LTX2.3 Audio Reactive LoRA. Built for music-driven video generation: stronger beat sync, graphic texture, color separation, light pulses, particles, and shapes that move with the track. Model:
0:39

New open-source LoRA built in-house: LTX2.3 Audio Reactive LoRA. Built for music-driven video generation: stronger beat sync, graphic texture, color separation, light pulses, particles, and shapes that move with the track. Model:

fal

17,778 просмотров • 3 месяцев назад

building an audio similarity search engine.. given an input track it will find others that sound similar using vector embeddings from a machine learning model with an index of 1.1 million electronic music tracks
1:42

building an audio similarity search engine.. given an input track it will find others that sound similar using vector embeddings from a machine learning model with an index of 1.1 million electronic music tracks

hurf

309,035 просмотров • 2 лет назад

Three Framer components using its Data() API. They’re self contained code components sharing a single state to sync SoundCloud playback, live ticker data, and a fully interactive record player. Sound on 🔊 The video shows various states from staggered first time track use (compensated for arm position), play and pause in one component and affecting another one, arm drag to scrub a track on the vinyl, and a ticker that takes data depending on states.
1:17

Three Framer components using its Data() API. They’re self contained code components sharing a single state to sync SoundCloud playback, live ticker data, and a fully interactive record player. Sound on 🔊 The video shows various states from staggered first time track use (compensated for arm position), play and pause in one component and affecting another one, arm drag to scrub a track on the vinyl, and a ticker that takes data depending on states.

Lee Black

16,372 просмотров • 9 месяцев назад

Built AI Launch Radar this week. One thing I underestimated was how hard it is to get reliable, structured web data for monitoring product launches and market sentiment. After trying different approaches, I ended up using Nimble's APIs to power the data layer, which saved me a lot of time I'd otherwise spend on scraping and data cleanup. The result is a dashboard that tracks launches, sentiment, and emerging products in real time. Try Nimble now: Here's a quick look 👇
0:58

Built AI Launch Radar this week. One thing I underestimated was how hard it is to get reliable, structured web data for monitoring product launches and market sentiment. After trying different approaches, I ended up using Nimble's APIs to power the data layer, which saved me a lot of time I'd otherwise spend on scraping and data cleanup. The result is a dashboard that tracks launches, sentiment, and emerging products in real time. Try Nimble now: Here's a quick look 👇

Nayeem Sheikh

12,349 просмотров • 3 месяцев назад

Korean artist Dakd Jung created a custom Bluetooth speaker featuring a sound-reactive ferrofluid display. The design utilizes an Arduino Nano, an electromagnet, and an audio-frequency analyzer to make a black magnetic liquid dance in real-time sync with music.
0:27

Korean artist Dakd Jung created a custom Bluetooth speaker featuring a sound-reactive ferrofluid display. The design utilizes an Arduino Nano, an electromagnet, and an audio-frequency analyzer to make a black magnetic liquid dance in real-time sync with music.

Philosophy Of Physics

44,577 просмотров • 1 месяц назад

As robotics teams scale, collecting real-world data can quickly become slow and expensive. 📉 Lightwheel is changing that with a simulation-first platform built on our technology, helping customers generate a 100:1 simulated-to-real data ratio for training autonomous systems. Together, we’re turning synthetic and real data into more capable, more reliable robots. Read the full success story 🔗
0:47

As robotics teams scale, collecting real-world data can quickly become slow and expensive. 📉 Lightwheel is changing that with a simulation-first platform built on our technology, helping customers generate a 100:1 simulated-to-real data ratio for training autonomous systems. Together, we’re turning synthetic and real data into more capable, more reliable robots. Read the full success story 🔗

NVIDIA Robotics

10,840 просмотров • 5 месяцев назад

This guy built an entire AI data science team in Python. Then open-sourced (100% free). It automates data science workflows with AI, including data loading, cleaning, exploratory analysis, and feature engineering. And it tracks each step in a 100% reproducible pipeline. 00:00 Project Overview 01:32 Diving into the AI Data Science Workflow and Data Loading 02:10 Data Wrangling and Cleaning 03:33 Data Visualization Insights & Plotting 04:08 Feature Engineering 05:00 Live 1-Hour Workshop 05:44 AI Data Science Team Python Library 🔗 AI Data Science Team On GitHub (Give it a Star) 🔗 Join My Next Live 1-Hour Agentic AI Workshop (Free):
7:04

This guy built an entire AI data science team in Python. Then open-sourced (100% free). It automates data science workflows with AI, including data loading, cleaning, exploratory analysis, and feature engineering. And it tracks each step in a 100% reproducible pipeline. 00:00 Project Overview 01:32 Diving into the AI Data Science Workflow and Data Loading 02:10 Data Wrangling and Cleaning 03:33 Data Visualization Insights & Plotting 04:08 Feature Engineering 05:00 Live 1-Hour Workshop 05:44 AI Data Science Team Python Library 🔗 AI Data Science Team On GitHub (Give it a Star) 🔗 Join My Next Live 1-Hour Agentic AI Workshop (Free):

Matt Dancho (Business Science)

85,425 просмотров • 9 месяцев назад

Few weeks ago I built a demo that live generates music using Lyria 3 with streamed payments over websockets! Pretty cool demo showing the potential of Machine Payments Protocol sessions imo. (audio on)
1:28

Few weeks ago I built a demo that live generates music using Lyria 3 with streamed payments over websockets! Pretty cool demo showing the potential of Machine Payments Protocol sessions imo. (audio on)

Kartik

12,669 просмотров • 6 месяцев назад

Today we’re launching Stable Audio 2.5: The first audio model built for enterprise-grade sound production 🔊 Audio influences brand engagement by 86%, but few enterprises are leveraging audio as an extension of their brand, making customized sound an untapped differentiator. Stable Audio 2.5 is purpose-built for this opportunity to create customizable, high-quality audio at scale, with capabilities that include: ▶️ Improved musical composition: Generate full songs with multi-part structure, meaning a clear intro, middle, and outro. ▶️ Audio inpainting: Input audio, select where the track should start, and the model uses the context to generate the rest of the track. ▶️ Customization: Our team can fine-tune Stable Audio 2.5 to help enterprises create the right sound for their brand. ▶️ Faster inference: The model can generate up to three-minute long tracks in under two seconds on a GPU, outputting in just eight steps (compared to ~50 in the previous model). You can learn more here 👉
0:50

Today we’re launching Stable Audio 2.5: The first audio model built for enterprise-grade sound production 🔊 Audio influences brand engagement by 86%, but few enterprises are leveraging audio as an extension of their brand, making customized sound an untapped differentiator. Stable Audio 2.5 is purpose-built for this opportunity to create customizable, high-quality audio at scale, with capabilities that include: ▶️ Improved musical composition: Generate full songs with multi-part structure, meaning a clear intro, middle, and outro. ▶️ Audio inpainting: Input audio, select where the track should start, and the model uses the context to generate the rest of the track. ▶️ Customization: Our team can fine-tune Stable Audio 2.5 to help enterprises create the right sound for their brand. ▶️ Faster inference: The model can generate up to three-minute long tracks in under two seconds on a GPU, outputting in just eight steps (compared to ~50 in the previous model). You can learn more here 👉

Stability AI

68,171 просмотров • 1 год назад

What if AI research could create more culture, not less? Over two days, we sponsored more than 20 live performances across San Francisco, giving local musicians new stages and bringing more live music into public spaces around the city. Portions of those performances were also recorded to create real-world audio data for AI audio and music research. That data can help advance music education tools, improve how systems understand instruments and musical structure, and create new ways for emerging artists and music to be discovered. We believe nothing replaces human brilliance. The future of AI in music shouldn’t mean less human creativity. It should help people explore more, learn more, and bring more ideas to life.
2:39

What if AI research could create more culture, not less? Over two days, we sponsored more than 20 live performances across San Francisco, giving local musicians new stages and bringing more live music into public spaces around the city. Portions of those performances were also recorded to create real-world audio data for AI audio and music research. That data can help advance music education tools, improve how systems understand instruments and musical structure, and create new ways for emerging artists and music to be discovered. We believe nothing replaces human brilliance. The future of AI in music shouldn’t mean less human creativity. It should help people explore more, learn more, and bring more ideas to life.

micro1

14,448 просмотров • 21 дней назад

Eigent × Kimi.ai K2.5 We ran a real-world sales performance evaluation on Eigent using Kimi K2.5. Given a production sales dataset, Eigent coordinated multiple agents end to end: - The document agent extracts information from the source files - The terminal agent analyzes the data and generates an HTML report All results are stored locally! Try Eigent with Kimi K2.5 today.
1:11

Eigent × Kimi.ai K2.5 We ran a real-world sales performance evaluation on Eigent using Kimi K2.5. Given a production sales dataset, Eigent coordinated multiple agents end to end: - The document agent extracts information from the source files - The terminal agent analyzes the data and generates an HTML report All results are stored locally! Try Eigent with Kimi K2.5 today.

Eigent AI

25,263 просмотров • 7 месяцев назад

Shroom is honored to be a partner with KORUS_AI and included in their audio visuals portfolio for your use to make live tracks :) Join us in experiencing KORUS, a unique music platform where you can collaborate with your favorite artists to make unique tracks that you own and can use anywhere. Register using this link to earn in-game currency. Below is sweet demo by ☠️ Sentenza 🎮 on how to make your own Shroom visuals with KORUS' ever-expanding list of tracks. Thank you KORUS_AI!!
0:31

Shroom is honored to be a partner with KORUS_AI and included in their audio visuals portfolio for your use to make live tracks :) Join us in experiencing KORUS, a unique music platform where you can collaborate with your favorite artists to make unique tracks that you own and can use anywhere. Register using this link to earn in-game currency. Below is sweet demo by ☠️ Sentenza 🎮 on how to make your own Shroom visuals with KORUS' ever-expanding list of tracks. Thank you KORUS_AI!!

$SHROOM

13,533 просмотров • 2 лет назад

Behold the scale of this 1:1 replica of Mt Taranaki that combines the accuracy of real-world geospatial data with the real-time rendering power of UE5 ⛰️ The creator Leo Li is turning the project into a first-person experience with dynamic real-time interactivity.
2:00

Behold the scale of this 1:1 replica of Mt Taranaki that combines the accuracy of real-world geospatial data with the real-time rendering power of UE5 ⛰️ The creator Leo Li is turning the project into a first-person experience with dynamic real-time interactivity.

Unreal Engine

17,452 просмотров • 2 лет назад

Learn more about MetaMask Portfolio! Experience the power of real-time market data, secure providers, and an intuitive interface that empowers you to track, buy, swap, bridge, and stake digital assets in one easy-to-use place. 🔗
0:51

Learn more about MetaMask Portfolio! Experience the power of real-time market data, secure providers, and an intuitive interface that empowers you to track, buy, swap, bridge, and stake digital assets in one easy-to-use place. 🔗

MetaMask 🦊

54,145 просмотров • 3 лет назад

🚀 DarkFeed – Stay Ahead of Cyber Threats In just 3 minutes, discover how DarkFeed: 🔍 Tracks ransomware and extortion groups in real-time 📊 Analyzes data from Telegram, darknet blogs, and forums with AI 📢 Delivers customizable alerts & seamless API integration 📑 Provides real-time intelligence reports to keep you informed Take the first step toward smarter, more affordable cybersecurity intelligence today! #CyberSecurity #ThreatIntelligence #Ransomware
2:38

🚀 DarkFeed – Stay Ahead of Cyber Threats In just 3 minutes, discover how DarkFeed: 🔍 Tracks ransomware and extortion groups in real-time 📊 Analyzes data from Telegram, darknet blogs, and forums with AI 📢 Delivers customizable alerts & seamless API integration 📑 Provides real-time intelligence reports to keep you informed Take the first step toward smarter, more affordable cybersecurity intelligence today! #CyberSecurity #ThreatIntelligence #Ransomware

DarkFeed

50,462 просмотров • 1 год назад

Most traders don’t fail because of strategy. They fail because they don’t see what they’re doing wrong. In real time. After being on a real trading floor and competing at a high level, one thing became clear: Awareness beats strategy. That’s why we built a full system: - A journal that tracks every trade automatically - An AI coach that analyzes your behavior - A community with live analysis and full transparency - And the ability to run our strategy as a bot Everything connected. Everything based on real data. If you’re serious about improving, you should be inside. Free Telegram group:
5:52

Most traders don’t fail because of strategy. They fail because they don’t see what they’re doing wrong. In real time. After being on a real trading floor and competing at a high level, one thing became clear: Awareness beats strategy. That’s why we built a full system: - A journal that tracks every trade automatically - An AI coach that analyzes your behavior - A community with live analysis and full transparency - And the ability to run our strategy as a bot Everything connected. Everything based on real data. If you’re serious about improving, you should be inside. Free Telegram group:

Merlijn The Trader

45,582 просмотров • 5 месяцев назад