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In recent decades, developments in software and hardware technologies have created dramatic shifts in design, manufacturing and research. Software technologies have facilitated automated process and new solutions for complex problems. Computation has also become a platform for creativity through generative art and design. New hardware platforms and digital fabrication technologies have similarly transformed manufacturing, offering more efficient production and mass customization. Such advances have helped catalyzed the maker-movement, democratizing design and maker culture. This influx of new capabilities to design, compute and fabricate like never before, has sparked a renewed interest in material performance.
We are now witnessing significant advances in active matter, 3D/4D Printing, materials science, synthetic biology, DNA nanotechnology and soft robotics, which have led to the convergence of software, hardware and material technologies and the growing field of programmable materials.
This conference was about the emerging field of active matter and programmable materials that bridges the worlds of art, science, engineering and design, demonstrating new perspectives for computation, transformation and dynamic material applications.
If over the past few decades we have experienced a software revolution, and more recently, a hardware revolution, this conference aims to discuss the premises, challenges and innovations brought by today’s materials revolution. We can now sense, compute, and actuate with materials alone, just as we could with software and hardware platforms previously. How does this shift influence materials research, and how does it shape the future of design, arts, and industrial applications? What tools and design processes do we need to advance, augment and invent new materials today? What are the key roles that industry, government, academic and public institutions can play in catalyzing the field of programmable materials?
This two-day conference consisted of a range of talks and lively discussion from leading researchers in materials science, art & design, synthetic biology and soft-robotics along with leaders from government, public institutions and industry.
Learn more at activemattersummit.com
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These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
I felt like an outsider, frankly. There was all this talk about computational thinking from the Jedi Council — from MSFT SVPs of Research, NSF Directors, etc. Like, they want everyone to think computationally because, you know — the world is based on computational and mathematic concepts.
I mean, the epistemological screw-ups going on here border on proto-fascist. Like..let's teach computational principles of how to organize the way kindergarteners should see the world so they think computationally!? Because, you know..the world is computational anyway. And it'll only be a matter of time before the underlying computational semantics of the world — delivered before computers were even around — are revealed to us, so we may as well start thinking computationally now. As opposed to using any other way of seeing the world or letting people find their own way of seeing the world.
Infuriating. And they believe it with the fervor of a prayer meeting. And then they go on about interdisciplinary in the same breath — convinced that CS should be at the center of interdisciplinary thinking. Just teach/apply/use CS principles to social sciences and — lo! you have interdisciplinary work!
Y'egads..pass the bottle..
Author: Paula Fernandes
Date: April 2008
Description: Transversal section of the C5 vertebra. A – Original CT image; B – Segmented CT image by global thresholding. The computed tomography image of the C5 vertebra (transversal section) possesses, both, a high spatial resolution and soft-hard tissue contrast, revealing several relevant anatomical information. Such image characterisitics are critical to extract, in a accurate manner, the geometric locus of the anatomical structure with advanced image processing techniques
Source: Master thesis
Image and caption provided by: Paula Fernandes, IDMEC/IST-TU Lisbon
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Computational art built with Processing.
A little sin(), a little cos(), a few taglines, a PNG, and a bunch of "magic numbers" that seemed to produce the best results...
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
The Vanguard of Computation
This collection of portraits presents the people who are defining the limits and reach of computation
John Daugman is a physicist and a computer vision expert. He is pictured here with the wavelet transform equations he developed for image analysis and pattern recognition.
Incheon International Airport T2
HDA : Design of roof structures and departure level envelope
Client : Incheon international airport corporation ( IIAC)
Architect : Heerim Architect & Planners, Mooyoung Architect & Consulting Architect Gensler
Date : 2011 - 2018
See more at : www.hda-paris.com/
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Jefferson Lab SRF Test Lab technicians work to transport and install a new C100 cryomodule from the test lab into the Continuous Electron Beam Accelerator Facility (CEBAF) tunnel on Thursday, May 4, 2023. (Photo by Aileen Devlin | Jefferson Lab)
Computational photography feature ( Live Neutral Density filter) was used to create this 50 second exposure with the Olympus OM-1 camera....!!!!!
Ese es el tiempo que he necesitado para conseguir esta figura, que resume la casi totalidad de mi tesis doctoral. Una figura que no curará el cáncer, ni pasará a la historia de la ciencia, pero al menos me dejará cerca de ser doctor. Por fin.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Local teacher Brandy Bergenstock chats with another educator during the 2023 Teacher Night—for elementary and middle school teachers—hosted by the Science Education Department at Jefferson Lab on Apr. 19, 2023. (Aileen Devlin | Jefferson Lab)
Often described as a "science fair for teachers,” this event allows educators to see new methods for teaching physical science concepts, win door prizes for their classrooms and earn one recertification point.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Simplified model of a probe in atomic force microscopy (AFM) scanning over a molecular specimen. The probe is modeled by a molecule of CO attached to a few metal atoms. Probes modified by the presence of CO can often obtain subatomic resolution in AFM. Source: ICES Center for Computational Materials Director Jim Chelikowsky
Exhibited at west wing of ITB Campus Center building.
More works: widiantonugroho.com
Built with Processing.org
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Neuroscience Professor Patrick Simen discusses computation and behavior with students in his winter term class.
Photo by Mike Crupi
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Computational Scientist in Argonne's Mathematics and Computer Science Division. Tautges is a member of the research team that has developed a modern suite of computer tools--called the SHARP Reactor Performance and Safety Simulation Suite--that digitally mimic and allow researchers to “see” the physical processes that occur in a nuclear reactor core, including neutron transport, thermal hydraulics and fuel and structure behavior. Argonne's high-fidelity computer modeling and simulation work in support of advanced nuclear energy systems is a natural outgrowth of the cumulative years of Argonne's expertise in nuclear energy.
Computational Mathematician in Argonne's Mathematics and Computer Science Division. Anitescu is a member of the research team that has developed a modern suite of computer tools--called the SHARP Reactor Performance and Safety Simulation Suite--that digitally mimic and allow researchers to “see” the physical processes that occur in a nuclear reactor core, including neutron transport, thermal hydraulics and fuel and structure behavior. Argonne's high-fidelity computer modeling and simulation work in support of advanced nuclear energy systems is a natural outgrowth of the cumulative years of Argonne's expertise in nuclear energy.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.