Didax’s Post

In the third step of my data protocol, students are asked "Now What?". The answer may include a decision, action, more questions, or collecting their own related data. They can represent their data with hands-on materials such as a magnetic whiteboard grid and magnetic manipulatives. Then they can do a new, highly relevant Data Discussion. Not to mention, compare and contrast the effectiveness of the visualizations! Graph credit to the amazing Jenna Laib [more slow reveal graphs at slowrevealgraphs.com]. These really enhance reasoning and discourse during the notice/wonder part! Demonstration Magnetic Dry-Erase Grid https://lnkd.in/g3Hfgd3y Magnetic Counters https://lnkd.in/gkY_uigC Didax #activemathactivelearning

Check out this video to discover how to extract insights from real-time and simulation digital twin models in ScaleOut Digital Twins™. Learn how to build continuous queries and visualize aggregated results with tools that boost situational awareness. https://bit.ly/40jEjRj #DigitalTwins #Simulation #DataAnalytics

Call for Papers – Intelligent Fusion of Multi-Modal Data for Complex Systems involves the integration and analysis of diverse data types, such as images, text, sensor data, and more, to gain a comprehensive understanding of complex phenomena. Read more here: https://bit.ly/47HGIXS. #CallForPapers #Fusion #ComplexSystems

Tired of sifting through mountains of analog data? Discover how Excalibur’s A-to-D D-to-A module intelligently filters and time-tags only the data you need, saving valuable processing time and resources. https://lnkd.in/dnqxpWYw https://lnkd.in/gXmti6N

Are you working with color centers? Unlock high-fidelity results faster with our advanced features. These include photon counting and time tagging via a configurable analog threshold. Enjoy eight configurable I/O channels for coincidence detection. Utilize double analog thresholding to differentiate between zero, single, and multiple photon occurrences. Benefit from photon count-based conditional feedback for charge resetting in experiments, frequency multiplexed outputs for register manipulation, and seamless phase tracking that accounts for frequency updates and phase kicks. Our intuitive software package simplifies experiments with a comprehensive quantum operations library, analysis, and visualization tools. Ready to elevate your quantum research? Contact us today to learn more and schedule a demo! https://hubs.ly/Q02HBp3l0

Are you interested in building machine-learning models? You can now try the Edge Impulse platform to get data from various sources, including your sensor hardware, public datasets, and data generated through simulations or synthetic data generation. Edge Impulse has been sharing informative content on Wevolver for a while. In the following article, you can learn more about the embedded Machine Learning revolution & try their platform for free. Access the free tool via the link https://wevlv.co/4bNYNF7 You find the tool at the top of Edge Impulse's profile.

Computer vision serves as the eyes for machines, enabling them to see, analyze, and make decisions based on visual inputs. When combined with real-time object detection, it allows systems to understand scenes in depth, including the presence, position, and scale of various objects instantaneously. Learn more on our latest blog: https://buff.ly/3xV65aG #ComputerVision #ObjectDetection #AITrends #ComputerVisionTrends

🚨Capture.U 1.4.1 is available to download now🚨 This update introduces a significant improvement to how you can increase the duration of data capture and personalize your collection options, including: ▶️ Customize sensor names ▶️ Change collection frame rates ▶️ Set IMU Hibernation Mode capabilities ▶️ Export Euler angles to CSV in Real-Time Insight and AR Visualization ▶️ Maximize up to 55 hours of battery life during data collection (low g accelerometer only) Learn more: https://lnkd.in/ek_waMgb

Humans excel at processing visual information, but we struggle when it comes to quantifying it—counting, measuring, and comparing on a large scale. 📷 Unlock the potential of your cameras and transform visual data into business-critical data. Explore how you can make your cameras count: https://hubs.ly/Q02Tqnn20 #DataEngineering #TechHumor #DataScience #ComputerVision

Using a DataClassroom simulation you can decide early what your experimental variables are, think more deeply about what you are measuring, and try out visualizations and ways to analyze - all before you go to the lab! https://lnkd.in/eFVbUETS #DataScience #TeachingStats #DataLiteracy