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It’s not scrolling... it’s crate digging. 😂 Plug in via USB-C and sample straight from your smart device to your MPC Sample. Want more tips like this? Tune into the full MPC Academy video series: #MPC #MPCSample #sampling

Akai Professional

129,199 subscribers

27,702 次观看 • 5 个月前 •via X (Twitter)

#MPC #MPCSample #sampling

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House music... straight out of the box. 🏠 Learn everything you need to get started on MPC Sample, including how to build a full track using only factory sounds in the 30-part MPC Sample Academy Video series - live now at #MPC #MPCSample

House music... straight out of the box. 🏠 Learn everything you need to get started on MPC Sample, including how to build a full track using only factory sounds in the 30-part MPC Sample Academy Video series - live now at #MPC #MPCSample

Akai Professional

15,946 次观看 • 5 个月前

Introducing MPC Live III — the most powerful, all-in-one standalone music production center we’ve ever unleashed. 🎶⚡ We’re very excited to share this news! Peep the full overview + a brand-new MPC Academy video series and more at #AkaiPro #MPCLiveIII

Akai Professional

15,070 次观看 • 11 个月前

We linked up with Dibiase in LA to explore his city roots through MPC Sample, telling stories and capturing real sounds, from the record store to the skate park, and turning them into beats. 🌇 Check out the full video with Dibiase at

We linked up with Dibiase in LA to explore his city roots through MPC Sample, telling stories and capturing real sounds, from the record store to the skate park, and turning them into beats. 🌇 Check out the full video with Dibiase at

Akai Professional

15,672 次观看 • 5 个月前

Here's the second beat I made on the Akai MPC Sample. Let me know what you think below. I've realized that this machine has forced me to get straight to the point and not procrastinate. I've realized that using a program like Ableton (where there is infinite hard drive space and capability), I often sample things with no intention of using them until later. And while having a hard drive full of samples feels good--nothing feels better than making a beat with a sample that you just found right there on the spot. I'm getting back to that now. So I've decided to keep the MPC Sample in my bedroom, on the desk that's right next to my bed. This is how I was making music from 1999-2005, but over the years I had forgotten how much of a difference it makes to keep your tools close to you. I'm still learning how to freak this machine, but will keep y'all posted on my progress with it. Thinking of putting some beatmaking videos on youtube. Would any of y'all be interested? WORD! #akaimpcsample #boombap #boombaphiphop #beatmaker

Here's the second beat I made on the Akai MPC Sample. Let me know what you think below. I've realized that this machine has forced me to get straight to the point and not procrastinate. I've realized that using a program like Ableton (where there is infinite hard drive space and capability), I often sample things with no intention of using them until later. And while having a hard drive full of samples feels good--nothing feels better than making a beat with a sample that you just found right there on the spot. I'm getting back to that now. So I've decided to keep the MPC Sample in my bedroom, on the desk that's right next to my bed. This is how I was making music from 1999-2005, but over the years I had forgotten how much of a difference it makes to keep your tools close to you. I'm still learning how to freak this machine, but will keep y'all posted on my progress with it. Thinking of putting some beatmaking videos on youtube. Would any of y'all be interested? WORD! #akaimpcsample #boombap #boombaphiphop #beatmaker

BLUEPRINT

19,124 次观看 • 5 个月前

Check out our latest work, "Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight," published in the IEEE Transactions on Robotics, where we reconcile #OptimalControl and #ReinforcementLearning, achieving the same super-human performance, but with superior generalizability, as our previous model-free deep RL! Code released! PDF: Code: Full Video: Model-free #ReinforcementLearning (RL) is known for its strong task performance and flexibility in optimizing general reward formulations. On the other hand, #ModelPredictiveControl (MPC) provides robustness, constraint handling, and powerful online replanning capabilities. In this work, we extend our previous AC-MPC paper (Romero, ICRA'24) by taking a deeper look at how both approaches can be unified. We introduce and extend Actor-Critic Model Predictive Control (AC-MPC), a framework that embeds a differentiable MPC inside an Actor-Critic RL architecture. This integration allows the MPC-based actor to perform short-term predictive optimization, while the critic facilitates long-horizon learning and exploration. We conduct a comprehensive study that highlights AC-MPC’s key advantages: - Better out-of-distribution generalization, both against unknown disturbances and changes in the quadrotor dynamics - Improved sample efficiency - A novel empirical analysis uncovering a relationship between the critic’s value function and the MPC cost function, providing deeper insight into their interplay. We validate our method in simulation and the real world on a quadcopter flying at superhuman speeds of up to 21 m/s, matching state-of-the-art model-free RL performance, and retaining the predictive structure of MPC for more reliable out-of-distribution behavior. Reference: Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight IEEE Transactions on Robotics (T-RO), 2025 PDF: Full Video: Code: Kudos to Ángel Romero, Elie Aljalbout, Yunlong Song! University of Zurich UZH Science UZH Space Hub AUTOASSESS European Research Council (ERC) UZHai

Check out our latest work, "Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight," published in the IEEE Transactions on Robotics, where we reconcile #OptimalControl and #ReinforcementLearning, achieving the same super-human performance, but with superior generalizability, as our previous model-free deep RL! Code released! PDF: Code: Full Video: Model-free #ReinforcementLearning (RL) is known for its strong task performance and flexibility in optimizing general reward formulations. On the other hand, #ModelPredictiveControl (MPC) provides robustness, constraint handling, and powerful online replanning capabilities. In this work, we extend our previous AC-MPC paper (Romero, ICRA'24) by taking a deeper look at how both approaches can be unified. We introduce and extend Actor-Critic Model Predictive Control (AC-MPC), a framework that embeds a differentiable MPC inside an Actor-Critic RL architecture. This integration allows the MPC-based actor to perform short-term predictive optimization, while the critic facilitates long-horizon learning and exploration. We conduct a comprehensive study that highlights AC-MPC’s key advantages: - Better out-of-distribution generalization, both against unknown disturbances and changes in the quadrotor dynamics - Improved sample efficiency - A novel empirical analysis uncovering a relationship between the critic’s value function and the MPC cost function, providing deeper insight into their interplay. We validate our method in simulation and the real world on a quadcopter flying at superhuman speeds of up to 21 m/s, matching state-of-the-art model-free RL performance, and retaining the predictive structure of MPC for more reliable out-of-distribution behavior. Reference: Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight IEEE Transactions on Robotics (T-RO), 2025 PDF: Full Video: Code: Kudos to Ángel Romero, Elie Aljalbout, Yunlong Song! University of Zurich UZH Science UZH Space Hub AUTOASSESS European Research Council (ERC) UZHai

Davide Scaramuzza

27,279 次观看 • 8 个月前

How do ZK proofs differ from multi-party computations (MPC)? 🤔 With ZK proofs, one person has private data and can prove something about it. Example: Let’s say you want to do a transaction with someone and you want to show them you have enough money. You could prove that without revealing the actual amount. With MPC, you can have many people with private data, and you can run a more complex query - a computation. Example: Let’s say you want to calculate an average salary of 3 friends without anyone revealing their salary. Each person could break down their salary into three parts that sum to the total (e.g. for 150 it might be 50 +500 -400). They give just one piece of that sum to each of the others. These are then summed together and eventually divided to calculate the average. Without anyone knowing anything they shouldn't. That is one way that MPC can work. Replace salary with any confidential data in this example and you get the idea! So, ZK proofs are like binary MPC for 1 person. Each for different use cases. 🤝 Partisia empowers complete data privacy at rest, in transit and in use through MPC, unlocking major use cases in AI, DeFI, Healthcare, RegTech, ID and more. Our founder Ivan, co inventor of the Merkle-Damgard hash function and pioneer of MPC since 1988, explains. 🎙️👇

How do ZK proofs differ from multi-party computations (MPC)? 🤔 With ZK proofs, one person has private data and can prove something about it. Example: Let’s say you want to do a transaction with someone and you want to show them you have enough money. You could prove that without revealing the actual amount. With MPC, you can have many people with private data, and you can run a more complex query - a computation. Example: Let’s say you want to calculate an average salary of 3 friends without anyone revealing their salary. Each person could break down their salary into three parts that sum to the total (e.g. for 150 it might be 50 +500 -400). They give just one piece of that sum to each of the others. These are then summed together and eventually divided to calculate the average. Without anyone knowing anything they shouldn't. That is one way that MPC can work. Replace salary with any confidential data in this example and you get the idea! So, ZK proofs are like binary MPC for 1 person. Each for different use cases. 🤝 Partisia empowers complete data privacy at rest, in transit and in use through MPC, unlocking major use cases in AI, DeFI, Healthcare, RegTech, ID and more. Our founder Ivan, co inventor of the Merkle-Damgard hash function and pioneer of MPC since 1988, explains. 🎙️👇

Partisia Blockchain

58,338 次观看 • 1 年前

Our smart glasses now work as a USB webcam. Plug them into your laptop and your computer sees from your point of view. Use it in Google Meet, Zoom, OBS, Python, or straight to your OpenClaw. We're making smart glasses so open, you don't even need our app.

Our smart glasses now work as a USB webcam. Plug them into your laptop and your computer sees from your point of view. Use it in Google Meet, Zoom, OBS, Python, or straight to your OpenClaw. We're making smart glasses so open, you don't even need our app.

cayden 凯登

40,821 次观看 • 3 个月前

Check out our #ICRA2024 paper "Actor-Critic Model Predictive Control." Model-free #reinforcementlearning (RL) is known for its strong task performance and flexibility in optimizing general reward formulations. On the other hand, #ModelPredictiveControl (MPC) benefits from robustness and online replanning capabilities. We combine both approaches by introducing a new framework called Actor-Critic Model Predictive Control. The key idea is to embed a differentiable MPC within an Actor-Critic RL framework. The proposed approach leverages the short-term predictive optimization capabilities of MPC with the exploratory and end-to-end training properties of RL. The resulting policy effectively manages both short-term decisions through the MPC-based actor and long-term prediction via the critic network, unifying the benefits of both model-based control and end-to-end learning. We validate our method in simulation and the real world with a quadcopter across various high-level tasks. We show that the proposed architecture can achieve real-time control performance, learn complex behaviors via trial and error, and retain the predictive properties of the MPC to better handle out-of-distribution behavior. Paper: Full Video with more details: Kudos to Ángel Romero, Yunlong Song IEEE ICRA University of Zurich UZH Science UZH Space Hub Aerial Core AUTOASSESS European Research Council (ERC)

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Davide Scaramuzza

34,889 次观看 • 2 年前

Want to add AI POWER to your setup? ⚡ The Google Coral USB Accelerator is a compact plug-in device that brings rapid machine learning right to your computer. It speeds up tasks like real-time video inference and object detection, all without bogging down your CPU

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NetworkChuck

17,048 次观看 • 28 天前

Join My Peak Challenge and World Wildlife Fund April 8-30th to #GiveAnHour for Earth! 🌎 Whether it’s hiking your local trails, meditating at the beach🏝️, yoga session with a view, I want you to get outdoors🌲 and Give an Hour! Don’t forget to share and tag us with the hashtag #GiveAnHour #PeakerHour Let’s Peak! #MPC2024 #MPC #MyPeakChallenge #SamHeughan

Join My Peak Challenge and World Wildlife Fund April 8-30th to #GiveAnHour for Earth! 🌎 Whether it’s hiking your local trails, meditating at the beach🏝️, yoga session with a view, I want you to get outdoors🌲 and Give an Hour! Don’t forget to share and tag us with the hashtag #GiveAnHour #PeakerHour Let’s Peak! #MPC2024 #MPC #MyPeakChallenge #SamHeughan

Sam Heughan

211,277 次观看 • 2 年前

Your journey into Assassin's Creed Shadows begins now! 🎮✨ Unlock the best tips and tricks–straight from the developers–to start your adventure like a pro! To start off the series: immersive mode 🗡️🔥

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Ubisoft Canada

50,240 次观看 • 1 年前

This is not cool, it’s not smart, and its not a hack. Washing your dirty underwear in the coffee maker of a hotel room is disgusting. This makes me want to vomit.

This is not cool, it’s not smart, and its not a hack. Washing your dirty underwear in the coffee maker of a hotel room is disgusting. This makes me want to vomit.

Dr. Jebra Faushay

20,196 次观看 • 6 个月前

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HustleBitch

111,397 次观看 • 4 个月前

new video: building a Verifiable AI Agent w/ Eliza and Opacity AVS in 6 minutes 🤖 ♾️built on eigenlayer ♾️ after the whole fiasco where people thought AI tweets were human-made, i'm excited to show how zk proofs and MPC-TLS turn guesswork into transparency. it takes 25 seconds to migrate your existing eliza agent

new video: building a Verifiable AI Agent w/ Eliza and Opacity AVS in 6 minutes 🤖 ♾️built on eigenlayer ♾️ after the whole fiasco where people thought AI tweets were human-made, i'm excited to show how zk proofs and MPC-TLS turn guesswork into transparency. it takes 25 seconds to migrate your existing eliza agent

Gajesh

108,935 次观看 • 1 年前

Next up, letter V: “Versus (Interlude)” #JayZ30 #JayZ Jay-Z: “I’ve been doing this a long time, so sometimes you have to throw your stats out there to remind people that your ‘last shit ain't better than my first shit.’ It’s a true statement to me ... I mean, it’s ‘Reasonable Doubt,’ so fuck, it’s hard to beat.” In 2013, Jay recounted the creation of “Versus,” telling Zane Lowe, “Timbaland and Swizz ... got on each side of the table in front of their drum machines, and they was like, ‘Let’s go.’ Swizz was hitting that [mimics him tapping on the MPC], and Timbaland was like [mimics him on the keyboard] ... just nice little flavors in there.”

Next up, letter V: “Versus (Interlude)” #JayZ30 #JayZ Jay-Z: “I’ve been doing this a long time, so sometimes you have to throw your stats out there to remind people that your ‘last shit ain't better than my first shit.’ It’s a true statement to me ... I mean, it’s ‘Reasonable Doubt,’ so fuck, it’s hard to beat.” In 2013, Jay recounted the creation of “Versus,” telling Zane Lowe, “Timbaland and Swizz ... got on each side of the table in front of their drum machines, and they was like, ‘Let’s go.’ Swizz was hitting that [mimics him tapping on the MPC], and Timbaland was like [mimics him on the keyboard] ... just nice little flavors in there.”

Luis

17,398 次观看 • 2 个月前

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Out-of-this-world effort, Peakers! 👩‍🚀🌙 Ease into this flow after you finish up your final Moonro 👟steps. Hang out in each posture for 5 to 10 breaths and then repeat the moves on the other side. Finish up with a long, well-deserved savasana. ❤️ #StretchySaturday #Yoga #MPC2023 #MPC #MyPeakChallenge #SamHeughan

My Peak Challenge

10,159 次观看 • 3 年前

This is the best open source text-to-speech I’ve ever heard. It’s free and you can run it locally. It’s also unrestricted as you can give it any voice sample. In this video I have it speak as Peter Griffin, Trump, Jarvis, & Scarjo’s voice from HER. More in thread 👇

This is the best open source text-to-speech I’ve ever heard. It’s free and you can run it locally. It’s also unrestricted as you can give it any voice sample. In this video I have it speak as Peter Griffin, Trump, Jarvis, & Scarjo’s voice from HER. More in thread 👇

Blaine Brown

343,292 次观看 • 1 年前

Alright — so I decided to “build into it”. 🫠 And like I’ve said so far; it’s insanely broken! It can cook! You’re gonna want this. It’s super powerful! It’ll bring joy to your life. It’s very fun! There’s a whole lot of wiggle room to fine tune your preferences, so go all out!

Alright — so I decided to “build into it”. 🫠 And like I’ve said so far; it’s insanely broken! It can cook! You’re gonna want this. It’s super powerful! It’ll bring joy to your life. It’s very fun! There’s a whole lot of wiggle room to fine tune your preferences, so go all out!

ZayOsiris Gaming 

197,176 次观看 • 2 年前

Need to book your U.S. visa appointment but not sure where to start? This #VisaFriday we’ve got you covered. This video walks you through every step — whether it’s your first time or you just need a quick refresher. Watch the full video at for all your scheduling questions and tips!

Need to book your U.S. visa appointment but not sure where to start? This #VisaFriday we’ve got you covered. This video walks you through every step — whether it’s your first time or you just need a quick refresher. Watch the full video at for all your scheduling questions and tips!

U.S. Embassy India

13,134 次观看 • 1 年前