View allAll Photos Tagged MachineLearning
Jerry Yang, Founding Partner, AME Cloud Ventures; Co-Founder and Former CEO of Yahoo! Inc.; Independent Director on the Board of Directors, Alibaba
Emily Chang, Anchor, Bloomberg Television
For all theater buffs out there - Which play by Shakespeare did I have in mind creating this picture?
This is an easy one - Put your answers in the comments.
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Version 5.2 of Midjourney has been released, and the results are even more impressive.
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions. The technique evolves fast. Let's compare these results with the images in one year's time..
Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com
Computational neuroscientist Frances Chance is revealing insights into how dragonflies intercept their prey in flight, which might be useful for missile defense. The Sandia research is examining whether dragonfly-inspired computing could improve missile defense systems, which have the similar task of intercepting an object in flight, by making on-board computers smaller without sacrificing speed or accuracy. Dragonflies catch 95% of their prey, crowning them one of the top predators in the world.
In recent computer simulations, faux dragonflies in a simplified virtual environment successfully caught their prey using computer algorithms designed to mimic the way a dragonfly processes visual information while hunting. The positive test results show the programming is fundamentally a sound model.
Learn more at bit.ly/2K5Za1A.
Photo by Randy Montoya
Tom Bianculli, Chief Technology Officer, Zebra Technologies
Virginie Maisonneuve, Chief Investment Officer, Eastspring Investments
Rich Karlgaard, Publisher and Futurist, Forbes Media
Sumant Mandal, Managing Director, March Capital Partners
Usman Shuja, General Manager, Industrial IoT, SparkCognition
Tom Bianculli, Chief Technology Officer, Zebra Technologies
Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com
Generated by MidJourney for Aaron Ximm, v3 engine, late July 2022; prompt: "intricate colorful ::burning-man-festival, illustrations, botanical illustration, earthy palette, natural dyes. Volumetric shading. Many species. Colored pencil and water color. Isometric false perspective. Long shot. Style of Rousseau, Seuss, Sendak, Arts-and-Crafts. The playa at golden hour. --ar 3:2"
Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com
Machine Growth is a series of AI-driven videos that imagines and images a biological-like life for everyday technologies, by creatively morphing them into, for example, trees, house plants, flowers, fish, or coral. Cassette tapes, phones, cameras, headphones, projectors, typewriters, and other electronic waste are “alive” in as much as they grow and spread, consume and break down, diffuse waste and minerals, shift power and stories into and around the world – literally and metaphorically. This series visually compares and contrasts electronic and biological vitality, asking:
What will digital media be and do, after us?
How will our devices weather or grow over time?
What else might our techno-waste be, and how might we sense and feel this?
Where might electronics lead our environmental and economic politics?
Can we plan and act toward new and different futures?
Machine Growth is priced to own at .05 ETH via opensea.io/collection/machine-growth. The series is almost complete, with three final pieces still in production. The series presents the potentials of alternate life cycles for what we use and throw out, what it might grow into, and how the Earth may (or may not) claim it.
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions.
Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com
Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com
Animated GIF (download to see it in action)
Sentinel-2 based harmonised 10-daily mosaic of 2019 - NDVI with a bit different color blend
More info: medium.com/sentinel-hub/digital-twin-sandbox-sentinel-2-c...
Contains modified Copernicus data 2019
For all theater buffs out there - Which play by Shakespeare did I have in mind creating this picture? - Put your answers in the comments.
=
Version 5.2 of Midjourney has been released, and the results are even more impressive.
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions. The technique evolves fast. Let's compare these results with the images in one year's time..
Experimentations with Sean Wood and Louis Commère of the Neurocomputational and Intelligent Signal Processing (NECOTIS) research group during an interdiciplinairy art, science and technologies research residency in 2015. The residency program is a collaboration between the Sporobole art center and Université de Sherbrooke.
The granular sampling system analyses and maps audio features such as the amplitude, balance, pitch, spectrum, frequencies, harmonics and percussiveness of sounds. Using a random walker algorithm, it generates endless compositions based on the relationships between the sound samples transposed in reconfigurable point clouds.
www.francois-quevillon.com/html/en/node/303
Expérimentations avec Sean Wood et Louis Commère du groupe NECOTIS (Neurosciences Computationnelles et Traitement Intelligent des Signaux ) dans le cadre d'une résidence de recherche en arts, sciences et technologies. Le programme de résidence est une collaboration entre le centre en art actuel Sporobole et l’Université de Sherbrooke.
Le système d'échantillonnage granulaire procède à l'analyse de caractéristiques sonores et à leur visualisation dans un espace à multiples dimensions. Le logiciel examine des paramètres tels que l'amplitude, l'équilibre, la hauteur, le spectre, les fréquences, les harmoniques, les passages à zéro et l'aspect percussif du son. En utilisant un algorithme de marche aléatoire (random walker), il génère ensuite des pièces infinies selon les relations entre les échantillons sonores transposés dans un nuage de points dont la structure est reconfigurable.
Commissioned to work with SALT Research collections, artist Refik Anadol employed machine learning algorithms to search and sort relations among 1,700,000 documents. Interactions of the multidimensional data found in the archives are, in turn, translated into an immersive media installation. Archive Dreaming, which is presented as part of The Uses of Art: Final Exhibition with the support of the Culture Programme of the European Union, is user-driven; however, when idle, the installation "dreams" of unexpected correlations among documents. The resulting high-dimensional data and interactions are translated into an architectural immersive space.
Shortly after receiving the commission, Anadol was a resident artist for Google's Artists and Machine Intelligence Program where he closely collaborated with Mike Tyka and explored cutting-edge developments in the field of machine intelligence in an environment that brings together artists and engineers. Developed during this residency, his intervention Archive Dreaming transforms the gallery space on floor -1 at SALT Galata into an all-encompassing environment that intertwines history with the contemporary, and challenges immutable concepts of the archive, while destabilizing archive-related questions with machine learning algorithms.
In this project, a temporary immersive architectural space is created as a canvas with light and data applied as materials. This radical effort to deconstruct the framework of an illusory space will transgress the normal boundaries of the viewing experience of a library and the conventional flat cinema projection screen, into a three dimensional kinetic and architectonic space of an archive visualized with machine learning algorithms. By training a neural network with images of 1,700,000 documents at SALT Research the main idea is to create an immersive installation with architectural intelligence to reframe memory, history and culture in museum perception for 21st century through the lens of machine intelligence.
SALT is grateful to Google's Artists and Machine Intelligence program, and Doğuş Technology, ŠKODA, Volkswagen Doğuş Finansman for supporting Archive Dreaming.
Location : SALT Gatala, Istanbul, Turkey
Exhibition Dates : April 20 - June 11
6 Meters Wide Circular Architectural Installation
4 Channel Video, 8 Channel Audio
Custom Software, Media Server, Table for UI Interaction
For more information:
refikanadol.com/works/archive-dreaming/
Commissioned to work with SALT Research collections, artist Refik Anadol employed machine learning algorithms to search and sort relations among 1,700,000 documents. Interactions of the multidimensional data found in the archives are, in turn, translated into an immersive media installation. Archive Dreaming, which is presented as part of The Uses of Art: Final Exhibition with the support of the Culture Programme of the European Union, is user-driven; however, when idle, the installation "dreams" of unexpected correlations among documents. The resulting high-dimensional data and interactions are translated into an architectural immersive space.
Shortly after receiving the commission, Anadol was a resident artist for Google's Artists and Machine Intelligence Program where he closely collaborated with Mike Tyka and explored cutting-edge developments in the field of machine intelligence in an environment that brings together artists and engineers. Developed during this residency, his intervention Archive Dreaming transforms the gallery space on floor -1 at SALT Galata into an all-encompassing environment that intertwines history with the contemporary, and challenges immutable concepts of the archive, while destabilizing archive-related questions with machine learning algorithms.
In this project, a temporary immersive architectural space is created as a canvas with light and data applied as materials. This radical effort to deconstruct the framework of an illusory space will transgress the normal boundaries of the viewing experience of a library and the conventional flat cinema projection screen, into a three dimensional kinetic and architectonic space of an archive visualized with machine learning algorithms. By training a neural network with images of 1,700,000 documents at SALT Research the main idea is to create an immersive installation with architectural intelligence to reframe memory, history and culture in museum perception for 21st century through the lens of machine intelligence.
SALT is grateful to Google's Artists and Machine Intelligence program, and Doğuş Technology, ŠKODA, Volkswagen Doğuş Finansman for supporting Archive Dreaming.
Location : SALT Gatala, Istanbul, Turkey
Exhibition Dates : April 20 - June 11
6 Meters Wide Circular Architectural Installation
4 Channel Video, 8 Channel Audio
Custom Software, Media Server, Table for UI Interaction
For more information:
refikanadol.com/works/archive-dreaming/
Animated GIF (download to see it in action)
Sentinel-2 based harmonised 10-daily mosaic of 2019 - NDVI
More info: medium.com/sentinel-hub/digital-twin-sandbox-sentinel-2-c...
Contains modified Copernicus data 2019