Big news coming out of University of Maine! 🎉 The 50,000-square-foot facility is designed as a digital manufacturing environment powered by high-performance computing and artificial intelligence. Big win for our innovation economy.
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PME, Principal Consultant at PRR Consultancy, NFPA CFPS, NFPA CLSS-HC, NFPA CSITMS, BFP FSP, PMSFE, SO2
2024 UST Engineering Alumni Summit - EnggPowering Synergy: Connecting Minds, Uniting Expertise, and Shaping Futures to forge tomorrow's Engineering Solution Usually, I discuss Codes and Standards in a particular subject but since we will now talk about the future. It's quite fitting to discuss how valuable Artificial Intelligence Recently I been using AI just for simple tasks A well-trained AI can do CFD Fire/Smoke Analysis, Evacuation Simulation, and Forecast Loughborough University has validated that an AI can accurately interpret building blueprints to assess non-compliant fire risks. This system leverages advanced computer vision techniques to process paper-based and digital blueprints, extracting critical information and evaluating the building’s compliance with building regulations. The goal is to automate the traditionally labor-intensive and error-prone process of blueprint analysis, providing a quicker method for identifying potential fire hazards. from Andy Grove, Intel's former CEO: "Success breeds complacency. Complacency breeds failure. Only the paranoid survive."
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Contemporary Expressionist Artist and Apparel Designer offering Digital Art Prints, Wearable Art and Cynthia DuVal Creative Virtual Studio Tours
Dahlia Power Digital Art by DuVal Digital innovations change the art we are capable of creating, seeing and perceifing. I am contemplating the cultural historical psychology of this phenomena. How are digital innovations different than mechanical innovations like the printing press? What does digital technology do to our brains? Cognition? Society? Cultures? The future? I Wonder! What is the science and what are are the stories to be told?
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Contemporary Expressionist Artist and Apparel Designer offering Digital Art Prints, Wearable Art and Cynthia DuVal Creative Virtual Studio Tours
Dahlia Power Digital Art by DuVal Digital innovations change the art we are capable of creating, seeing and perceifing. I am contemplating the cultural historical psychology of this phenomena. How are digital innovations different than mechanical innovations like the printing press? What does digital technology do to our brains? Cognition? Society? Cultures? The future? I Wonder! What is the science and what are are the stories to be told?
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"The idea of the Fab Lab was pioneered at MIT, by MIT Center for Bits and Atoms Director Neil Gershenfeld, and Mel King, a former MIT adjunct professor. Now, there are Fab Labs all over the world, around 2500 of them at last count, in some 125 countries." AMRoC FabLab is one of them, the only fully public Fab Lab in Tampa Bay and one of only a small handful in Florida. Check out this Forbes story shared by The Fab Foundation to learn more, and visit AMROCTampaBay.com to see how to get involved right here in Tampa Bay!
🌟 Fab Labs Spark Innovation Worldwide 🌟 Check out the latest Forbes article by John Werner highlighting the incredible impact of Fab Labs globally. From their inception at MIT by Dr. Neil Gershenfeld to over 2,500 labs in 125 countries, Fab Labs are transforming communities through advanced manufacturing and digital fabrication. -Fab Labs blend computer science with hardware to foster local innovation. These labs are equipped with CNC mills, welding machines, vacuum formers, and more. -Fab Labs play a crucial role in K-12 education and supporting local economies. -Strategic partnerships are driving the network’s growth and impact. Join us in celebrating the innovation and collaboration happening within Fab Labs! 🔗 https://lnkd.in/dFXYkqNM #FabLabs #Innovation #DigitalFabrication #STEMEducation #CommunityImpact #Forbes
Not Just A Maker Space: Fab Labs Spark Innovation Worldwide
social-www.forbes.com
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Next week, Nicolas Rouit-Leduc will be giving a lecture and workshop at Yale University. He will share his vision with students and industry leaders, about how design can help to tackle the manufacturing industries challenges, by giving a more meaningful and humanistic approach to digital transformation projects. I you are interested about this topic, but not able to make it to New haven, don't hesitate to contact us ! #industry #digitalmanufacturing #design #uxdesign
Join us at Yale University to immerse yourself in design for manufacturing. Interface design has the power to transform the industry by enhancing efficiency, training, adaptability, data-driven decision making, and collaboration. Well-designed interfaces streamline processes, improve productivity, and reduce errors. The power of design is immense and knowing how to use it to one’s advantage can ultimately improve way of work. During the conference and the workshops, Nicolas Rouit-Leduc will talk about how technology can be put back at the service of people based on the agency's work for companies such as Heat and Control Inc., Parfums Christian Dior or Saint-Gobain. You will also have the chance to interact with executives from several manufacturing fields, including food manufacturing, hardware, medical devices, and others. Register now (free): https://lnkd.in/dYHDZpaH 👋 Kalina Mladenova, Chris Farver, Heat and Control Inc., Verifi, Connecticut Center for Advanced Technology (CCAT), Medtronic, Pratt & Whitney, Edgewell Personal Care, Yale School of Engineering & Applied Science #conference #manufacturimg #design
design for manufacturing: how can UX/UI change the industry
ocs.yale.edu
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Truly exciting work in Aerial Robotics: Learning Obstacle Avoidance from a single event camera:
We are excited to share our #CORL2024 paper on learning quadrotor obstacle avoidance from the visual stream of a single #eventcamera! Trained entirely in simulation! We demonstrate obstacle avoidance both in the dark and in a forest up to 5m/s. PDF: arxiv.org/pdf/2411.03303 Video: https://lnkd.in/dizUwnF3 Project page: https://lnkd.in/dcSaWdpR Event cameras are sensors that output per-pixel-level intensity changes at microsecond latency resolution; they feature nearly zero motion blur and high dynamic range but produce a very large volume of events under significant ego-motion and further lack a high-fidelity continuous-time sensor model in simulation, making direct #sim2real transfer not possible. By leveraging depth prediction as a pretext task, we pre-train a reactive obstacle avoidance policy with “approximated,” simulated events and then fine-tune the perception component with limited events-and-depth real-world data. This technique bridges the sim2real gap for #eventcameras! As at the current state, there is no continuous-time sensor model for event cameras, we hope that this work can finally spur future research leveraging simulation for training event-vision-based policies to create faster, agile robots! Kudos to Anish Bhattacharya, Marco Cannici, Nishanth Rao, Yuezhan Tao, Vijay Kumar, Nikolai Matni! University of Zurich University of Zurich Faculty of Science UZH Innovation Hub European Research Council (ERC) UZH Department of Informatics, University of Pennsylvania Penn Engineering
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Excited to share that I’ve completed a webinar series on Digital Engineering! It was a fantastic learning experience, exploring the latest in digital transformation and engineering practices. This knowledge will be invaluable as I continue my journey in nanotechnology and electronics, applying digital tools to innovate and improve processes. Big thanks to the organizers and speakers for such an insightful experience!"
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⚙️ We are preparing the lab experience for the #DigitalMachiningA and #LABDigitalMachining courses that will take place at PoliMill (Dipartimento di Meccanica - Politecnico di Milano). 👉 These two courses will be offered to the second year of the Master in #MechanicalEngineering of Politecnico di Milano (#GreenDesignandSustainableManufacturing - CM4 track, https://lnkd.in/dCAYr-YE) starting from the 16th of September. 📚 Course topics involve both #Machining concepts like machine tool basics, #CAM, simulation, #monitoring and #metrology, but also #IIOT concepts like #EdgeDevices, MEMS-based sensing, IIOT architectures (buses, protocols, field devices, gateways, cloud), #ML and #AI at the Edge. 💡 With #DigitalMachiningA you’ll learn the fundamental theory and with #LABDigitalMachining you’ll practice in the PoliMill lab. ℹ️ https://lnkd.in/dG3VBTmX 🚀 Dive into #IndustryX0 and acquire the knowledge the #Manufacturing companies are looking for! #GreenDesignandSustainableManufacturing #Machining #Milling #DigitalMachining #DigitalMachiningA #Measurements #IIOT #EdgeComputing #ML #AI
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This demonstrates a simple shift in paradigm that allows a great advancement. Notice the camera is on the drone so they can show us what the drone is doing. Then notice the multi-spectrum sensors and real time GIS updates that are happening to show the computer the environment. Sensor selection is key and FMV/visual spectrum is effective almost exclusively for the human, not the AI system. Well done!
We are excited to share our #CORL2024 paper on learning quadrotor obstacle avoidance from the visual stream of a single #eventcamera! Trained entirely in simulation! We demonstrate obstacle avoidance both in the dark and in a forest up to 5m/s. PDF: arxiv.org/pdf/2411.03303 Video: https://lnkd.in/dizUwnF3 Project page: https://lnkd.in/dcSaWdpR Event cameras are sensors that output per-pixel-level intensity changes at microsecond latency resolution; they feature nearly zero motion blur and high dynamic range but produce a very large volume of events under significant ego-motion and further lack a high-fidelity continuous-time sensor model in simulation, making direct #sim2real transfer not possible. By leveraging depth prediction as a pretext task, we pre-train a reactive obstacle avoidance policy with “approximated,” simulated events and then fine-tune the perception component with limited events-and-depth real-world data. This technique bridges the sim2real gap for #eventcameras! As at the current state, there is no continuous-time sensor model for event cameras, we hope that this work can finally spur future research leveraging simulation for training event-vision-based policies to create faster, agile robots! Kudos to Anish Bhattacharya, Marco Cannici, Nishanth Rao, Yuezhan Tao, Vijay Kumar, Nikolai Matni! University of Zurich University of Zurich Faculty of Science UZH Innovation Hub European Research Council (ERC) UZH Department of Informatics, University of Pennsylvania Penn Engineering
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Mechanical Engineer | Research Scholar @ BITS-Pilani | Proficient in Machining Dynamics & ML-Driven Manufacturing Solutions.
I am happy to share my contribution to the micromachining community through my research article, "Development of smart manufacturing framework for micromilling of thin-walled Ti6Al4V." The article can be accessed using the link given below. Chatter identification is mostly carried out offline after capturing the machining signals or by analyzing the machined surface after completing or interrupting the machining process. The offline methods for analyzing the machined signals are tedious and not very useful for microcomponents attributed to the permanent deformation of the thin-wall if chatter has already occurred during the process. Real-time information is necessary to monitor and control the micromilling process. Consequently, a smart manufacturing framework has been developed in the present work to monitor the chatter onset and the deviation in the geometrical shape of the thin-wall during micromilling. An interactive web interface has been developed to project the real-time information necessary to monitor the micromilling process. The advantage of the developed layout of the web browser is that it can be used for real-time monitoring of any other machining process as well. Reference: Gururaja, S., & Singh, K. K. (2024). Development of smart manufacturing framework for micromilling of thin-walled Ti6Al4V. Machining Science and Technology. https://lnkd.in/gbDUPvwb
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Software Development Engineer at Workday
4wThis is some good news!