Twitter Data Analytics
Published by Springer Shamanth Kumar, Fred Morstatter, and Huan Liu Data Mining and Machine Learning Lab School of Computing, Informatics, and Decision Systems Engineering Arizona State University Social media has become a major platform for information sharing. How to Cite
CLUSTER - divulgación científica: Fluorescencia y fosforescencia
La Fluorescencia es un fenómeno físico mediante el cual ciertas substancias absorben energía (a partir de luz ultravioleta) emitiéndola nuevamente en forma de luz, esta vez del espectro del visible y de un color característico (una longitud de onda determinada). A diferencia de la fosforescencia, la fluorescencia tiene lugar únicamente mientras dura el estímulo que la provoca. Es decir, al desaparecer la irradiación, desaparece la emisión, puesto que el proceso es extremadamente rápido. La fosforescencia, en cambio es un proceso más lento. En este vídeo podremos ver diferentes substancias fluorescentes: La fluoresceina fue descubierta por Adolf von Baeyer, químico berlinés ganador del premio Nobel de química en 1905 por su trabajo en colorantes orgánicos. Fluoresceína sódica: La fluoresceína es un colorante orgánico derivado de las xantinas que produce un color verde intenso al ser expuesto a luz ultravioleta, siendo la máxima absorción sobre los 500 nm de longitud de onda. Quinina Sergio
Artificial Intelligence and Machine Learning
A Gaussian Mixture Model Layer Jointly Optimized with Discriminative Features within A Deep Neural Network Architecture Ehsan Variani, Erik McDermott, Georg Heigold ICASSP, IEEE (2015) Adaptation algorithm and theory based on generalized discrepancy Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina Proceedings of the 21st ACM Conference on Knowledge Discovery and Data Mining (KDD 2015) Adding Third-Party Authentication to Open edX: A Case Study John Cox, Pavel Simakov Proceedings of the Second (2015) ACM Conference on Learning @ Scale, ACM, New York, NY, USA, pp. 277-280 An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections Yu Cheng, Felix X.
NASA
The Future of Machine Intelligence
Ben Goertzel March 20, 2009 In early March 2009, 100 intellectual adventurers journeyed from various corners of Europe, Asia, America and Australasia to the Crowne Plaza Hotel in Arlington Virginia, to take part in the Second Conference on Artificial General Intelligence, AGI-09: a conference aimed explicitly at the grand goal of the AI field, the creation of thinking machines with general intelligence at the human level and ultimately beyond. While the majority of the crowd hailed from academic institutions, major firms like Google, GE, AT&T and Autodesk were also represented, along with a substantial contingent of entrepreneurs involved with AI startups, and independent researchers. Since I was the chair of the conference and played a large role in its organization – along with a number of extremely competent and passionate colleagues – my opinion must be considered rather subjective ... but, be that as it may, my strong feeling is that the conference was an unqualified success!
12 ilusiones opticas que te dejaran helado
Estas 12 ilusiones te dejaran helado!!! El mantra en movimiento. Unos cuántos colores mezclados y tus ojos pensarán que esta imagen fija está en movimiento. Un consejo: no la mires durante mucho tiempo porque marea un poquillo. Las flores giratorias. Si miras una a una estas flores, tu cerebro pensará que las otras están girando. La falsa espiral. Con tan sólo una mirada, tu cerebro interpretará esta imagen como una especie de espiral sin sentido. Mutación genética. Si miras esta imagen desde cerca, verás a Einstein. La imagen imposible. A primera vista, esta imagen no tiene nada de raro. Locura cerebral. Esto no es una ilusión óptica propiamente dicha pero… te hará esforzarte para superar el reto. Cilindros en movimiento. Al igual que con las flores giratorias, tu cerebro traducirá esta imagen como tres cilindros en movimiento. La metamorfosis de celebrities. Si miras las fotos de estos personajes famosos por separado no ocurre nada extraño. La dimensión desconocida. El fantasma oculto.
Machine Learning (Theory)
NASA Has Released A Free eBook About Communicating With Aliens
I intend to read it. But first - the important thing is not to understand an alien's motivations, but instead to understand our own. To filter out our own biases as far as is humanly possible, then to try to enter into a discussion as intelligent, rational beings - keeping it firmly in our minds that how we present ourselves and how we treat our fellow humans are the signals that the aliens will be watching to determine how to interact with us. Therefore before we seek an audience with an Extraterrestrial Intelligence... we should work out our own societal issues as best as possible. And while I don't agree with Stephen Hawking's stance... there is a point to be made. Besides, even if there are things that aliens would want from our world, then they'd wait for us to achieve FTL space travel and encounter one of their trading posts.
Face mask detection with ML/AI on Cisco industrial hardware - Cisco Blogs
Imagine you’ve been asked to create an architecture that can apply analytics on very voluminous data such as video streams generated from cameras. Given the volume and sensitivity of the data, you don’t want to send it off-premises for analysis. Also, the anticipated cost of centralizing the data might invalidate your business value assessment for your use case. You could apply machine learning (ML) or artificial intelligence (AI) at the edge—but only if you can make it work with the available compute resources. This is the exact challenge I recently tackled with the help of my colleague, Michael Wielpuetz. It’s not always easy or even possible to change or scale the available compute resources in a typical edge scenario. To provide food for thought, to incubate new ideas, and to proof possibility, Michael Wielpuetz and I started in our free time to minimize the resource requirement of an exemplary setup. See how the standard Docker images compare to our base image: Share:
