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Are you ready to immerse yourself in the world of animation like never before? Deep Motion's groundbreaking AI animation technology is here to revolutionize your creative process. SayMotion SayMotion allows users to effortlessly generate stunning 3D animations by simply describing their vision in text form. Here's How It Works: SayMotion leverages generative AI to interpret your text prompts and translate them into intricate 3D motions. With SayMotion, you can take the director's seat and bring your digital actors to life with just a few words. A few tips to get you started : Before diving into animation, take the time to envision your desired outcome. Describe your ideas in clear, concise text prompts to kickstart the animation process. Having a clear vision will guide you through the creative journey and ensure your animations align with your objectives. Start with a Clear Vision : When beginning your animation project, selecting or designing the perfect avatar is crucial. Consider the personality, style, and characteristics of your avatar to ensure it aligns with your creative vision. Whether you're creating a character for a game, marketing or training video, virtual experience, or motion graphics project, choosing the right avatar sets the stage for a compelling animation. Select or Design the Right Avatar : SayMotion's dynamic motion editing feature empowers you to fine-tune and enhance your animations with ease. Experiment with different movements, transitions, and effects to add depth and realism to your creations. By embracing dynamic motion editing, you can refine your animations and ensure they captivate your audience. Embrace Dynamic Motion Editing : Seamlessly integrate your animations into your projects by exporting them in various formats (.FBX, .GLB, .BVH, or .MP4). Whether you're working on a game, virtual experience, or motion graphics project, SayMotion's integration capabilities make it easy to incorporate your animations into your work. Utilize Seamless Integration Maximize the impact of your projects by seamlessly integrating your animations and enhancing their visual appeal. : Take advantage of SayMotion's web-based accessibility to work on your animations from anywhere with an internet connection and a web browser. Explore Web-Based Accessibility Whether you're at home, in the office, or on the go, SayMotion allows you to access the platform and collaborate with team members effortlessly. Explore the convenience of web-based accessibility to stay productive and creative wherever you are. The SayMotion Open Beta launches on March 19, 2024, offering enthusiasts the opportunity to explore the platform's features and provide feedback. Join the Open Beta to dive into the future of animation and discover how SayMotion can elevate your creative projects. With its user-friendly interface and powerful AI capabilities, SayMotion is poised to redefine the animation landscape and empower creators worldwide.

Mastering Animation: Tips for Harnessing Deep Motion's New SayMotion AI Animation Technology

মাস্টারিং অ্যানিমেশন: ডিপ মোশনের নতুন SayMotion AI অ্যানিমেশন প্রযুক্তি ব্যবহার করার জন্য টিপস

Beherrschen der Animation: Tipps zur Nutzung der neuen SayMotion AI-Animationstechnologie von Deep Motion

Dominar la animación: consejos para aprovechar la nueva tecnología de animación SayMotion AI de Deep Motion

Maîtriser l'animation : conseils pour exploiter la nouvelle technologie d'animation SayMotion AI de Deep Motion

एनिमेशन में महारत हासिल करना: डीप मोशन की नई सेमोशन एआई एनिमेशन तकनीक का उपयोग करने के लिए युक्तियाँ

アニメーションのマスタリング: Deep Motion の新しい SayMotion AI アニメーション テクノロジーを活用するためのヒント

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Dominando a animação: dicas para aproveitar a nova tecnologia de animação SayMotion AI da Deep Motion

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Làm chủ hoạt hình: Mẹo khai thác công nghệ hoạt hình AI SayMotion mới của Deep Motion

掌握动画：利用 Deep Motion 全新 SayMotion AI 动画技术的技巧

TOPTAL, LLC v. DENIS GROSZ Court Filing, retrieved on February 26, 2024, is part of . You can jump to any part in this filing . This part is 6 of 7. HackerNoon’s Legal PDF Series here CONCLUSION The Court grants Toptal's Motion for Summary Judgment, in part, and dismisses Count I of Mr. Grosz's counterclaim.[6] IT IS SO ORDERED. DATED: October 11, 2023. Continue Reading . Here [6] For the reasons articulated in this Order the Court finds that Mr. Grosz is not entitled to summary judgment on Count I of his counterclaim, Toptal's eighth claim for relief or Toptal's second affirmative defense and Mr. Grosz's motion filed August 28, 2023, is denied. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on October 11, 2023, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. media.licdn.com

Court Grants Toptal's Motion for Summary Judgment

After years of supporting Mozilla financially and spreading messages with my peers, I returned as an active contributor. I defined a 4-week sprint for myself that started on November 22th and finished on my birthday, December 22th. My goals were: 1: To contribute to the localization every day, including weekends. In the beginning, it was hard for me to build a habit of using the little free time I had to contribute to the L1on instead of watching a short documentary or something funnier. After the third day, I nailed it. It helped that I added a reminder for myself in my work calendar and that my current employer supported me with this mission. 2: To ensure that Thunderbird is 100% localized in Bulgarian (it was around 67% at that mark) Now it's a 100%. I could also contribute with a few strings to the Turkish and Czech translations. The next step is to ensure that the translated content makes sense to the end consumer. That's the goal of my next sprint. 3: To ensure that Firefox Focus for Android and IoS and the Facebook Container will also reach 100% localization. It's 100% now. I don't know how many people use it in Bulgaria, but if they want to, it's translated entirely. That was a concise task, thanks to the efforts of the other translators in the past. I translated the delta between January and November 4: To reconnect with the local and international community to contribute more to the project. This is where I need to invest more. I was active in the past, traveling and talking about Mozilla at local and international events and actively building the Bulgarian and Balkan communities. After that, I gave up for reasons I don't want to comment on now, partially because of my personality and ego. I've lost a lot of great friends and peers from Mozilla. I am trying to reconnect with them now. 5: To find another way to help Thunderbird apart from localization and donations. I am now active in the Thunderbird support forum and validating bugs under Linux in Bugzilla for Beta and Daily versions. I would invest some time there as well into my next sprint. Be creative, be brave, and contribute to the open source as you can with your time, knowledge, resources, or good intentions. Also published . here

Everything I Achieved With My Mozilla Contribution Sprint 

MOTION AND EQUIPOISE OF FIGURES.

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THE CONVERSION OF HEAT ENERGY INTO MECHANICAL MOTION.

Part 2: Real Motion Data from Apple Watch and Quick Analysis In the , I demonstrated how high-frequency motion data can be collected during a tennis session using my sample app. In this part, I'll provide a sneak peek into the data and try to extract some high-level learnings from it. previous part How I Collected the Data I play tennis once a week, so once I made , I was able to quickly take it to the real world to obtain the sensor data. I'm right-handed, so for better accuracy, I wore the watch on the right wrist even though I usually wear it on the left. As my simple iPhone sample app only keeps the data in memory and there should be an established connection between the counterpart apps, I had to keep my phone in my pocket. the app Only during the session, I realized that the iPhone app has to be in the foreground, otherwise the messages are not delivered. I made several recordings, each of them represented a single rally. On average, the warm-up rallies were 6-8-shot long. WatchConnectivity Accelerometer Data For a typical rally, its accelerometer file would be about 1–1.5 Mb. from that warm-up session that represents roughly a 19-second series with 15651 readings – remember, it's an 800 Hz sensor! Here is a sample file Here is a simple of the acceleration measured in Gs across all three axes: line-chart visualization We can clearly see the spikes just before and after the shot, with the Z-axis showing the highest amplitude. The Z-axis is orthogonal to the watch screen surface. That's why it's no surprise that it gets the largest acceleration when the wrist moves toward the ball. I just didn't expect that the racquet acceleration could reach 30G! Y is pointing from the bottom to the top edge of the watch, and X is basically the continuation of the digital crown. That's why it shows the least amount of movement. A single-shot close-up is also interesting (how acceleration is thrown back and forth over a tiny period of time): Rotation Data is similar to the accelerometer one, but here, it's radians per second for each axis. It shows similar peaks around the same timestamps; however, its readings are 4x less frequent: The gyroscope data Interestingly, the X axis shows higher amplitude than Z here, and each axis has a distinct pattern. As X is the digital crown axis, higher values here may mean more spin that comes from the wrist. Conclusion and What's Next This was just my first tennis session with this app, and my main goal was to see if it actually worked as expected and if the data had some actual meaning, even if presented as a simple line chart. Now, I clearly see a correlation between the line and its corresponding shots – for example, higher amplitude seems to mean a higher ball speed. I plan to eventually extract more useful information from the raw data – such as shot frequency, time to contact, distinguishing backhand vs forehand vs volley, approximate ball speed, and so on. To start, I could try to apply a median filter and then find local peaks. In addition, here are the ideas for improvements that I'm going to make to the app to be able to better analyze the data in future sessions (I am not sure if all of them are feasible and quick to build, but they should definitely help): Persist data onto disk on the watch during the session and transmit it as a large file – to avoid having to keep the iPhone app nearby and active. Preview the line charts right on the iPhone. Put the accelerometer and the gyroscope data onto the same timeline. Add a way to map the data recording to the actual rally – maybe by shooting the video of the practice on the counterpart iPhone and then synchronizing it with the motion data. I'm curious about what you think can be done with this raw data. Please do share your suggestions in the comments!

Getting High-Frequency Tennis Motion Data from Apple Watch [Part 2]

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