1. Lo que existe
1.1 Douglas Lenat Computers with common sense
Doug Lenat writes programs that are creative: they think up new mathematical conjectures, predict terrorist plots, and propose unsuspected disease pathways. Unlike other machine learning algorithms, his programs are based on Sherlock-Holmes-style reasoning, not statistics. A former computer science professor at Stanford, Doug and his CYC.com team are now hard at work here in Austin, trying to give computers the one thing they need most: common sense.
1.2 Ray Kurzweil “Get ready for hybrid thinking
Two hundred million years ago, our mammal ancestors developed a new brain feature: the neocortex. This stamp-sized piece of tissue (wrapped around a brain the size of a walnut) is the key to what humanity has become. Now, futurist Ray Kurzweil suggests, we should get ready for the next big leap in brain power, as we tap into the computing power in the cloud.
1.3 David Cope Music professor
Is it Mozart or Professor David Cope? Many of the world’s experts can’t tell. See how this music professor uses his own software to make beautiful music.
1.4 Facial recognition
When a very young child looks at a picture, she can identify simple elements: “cat,” “book,” “chair.” Now, computers are getting smart enough to do that too. What’s next? In a thrilling talk, computer vision expert Fei-Fei Li describes the state of the art — including the database of 15 million photos her team built to “teach” a computer to understand pictures — and the key insights yet to come.
1.2 Aprendizaje transcontextual, evolving, emergent, network intelligence
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of “cats.”) Get caught up on a field that will change the way the computers around you behave … sooner than you probably think.
2. Ciencia inteligente
Kevin Slavin: How algorithms shape our world
Kevin Slavin argues that we’re living in a world designed for — and increasingly controlled by — algorithms. In this riveting talk from TEDGlobal, he shows how these complex computer programs determine: espionage tactics, stock prices, movie scripts, and architecture. And he warns that we are writing code we can’t understand, with implications we can’t control.
Vishal Sikka: The beauty and power of algorithms
Adaptive, intelligent, and consistent, algorithms are emerging as the ultimate app for everything from matching consumers to products to assessing medical diagnoses. Vishal Sikka shares his appreciation for the algorithm, charting both its inherent beauty and its growing power.
3. Futuro educación
3.1 Juan Freire Ecosistemas de aprendizaje y tecnologías sociales
Cuenta con casi un centenar de publicaciones en revistas científicas internacionales y ha dirigido numerosos proyectos de I+D. Ha participado en la creación de dos iniciativas empresariales de tipo spin-off (Lonxanet y Fismare) nacidas de su trabajo de investigación dentro de la universidad. Es fellow de e-Cultura, empresa dedicada a la gestión cultural, el desarrollo territorial y los procesos creativos y socio director de Laboratorio de Tendencias, un proyecto profesional desarrollado conjuntamente con Antoni Gutiérrez-Rubí, que ofrece servicios de asesoramiento, análisis y formación entorno a las nuevas tendencias y los cambios que estas pueden suponer para empresas, organizaciones o modelos de negocio.
3.2 Pedro Domingos The Master Algorithm
Machine learning is the automation of discovery, and it is responsible for making our smartphones work, helping Netflix suggest movies for us to watch, and getting presidents elected. But there is a push to use machine learning to do even more—to cure cancer and AIDS and possibly solve every problem humanity has. Domingos is at the very forefront of the search for the Master Algorithm, a universal learner capable of deriving all knowledge—past, present and future—from data. In this book, he lifts the veil on the usually secretive machine learning industry and details the quest for the Master Algorithm, along with the revolutionary implications such a discovery will have on our society.
3.3 Greg Lynn Organic algorithms in architecture
A series of revelations about building practice — “Vertical structure is overrated”; “Symmetry is bankrupt” -helped Lynn and his studio conceptualize a new approach, which uses calculus, sophisticated modeling tools, and an embrace of new manufacturing techniques to make buildings that, at their core, enclose space in the best possible way.
4. Grandes preguntas
4.1 Nick Bostrom What happens when our computers get smarter than we are?
La Inteligencia Artificial está dando grandes pasos: según los expertos, durante este siglo, la inteligencia artificial podría llegar a ser tan “inteligente” como un humano. Para que luego, dice Nick Bostrom, nos supere; en sus palabras, “la inteligencia artificial es el último invento que la humanidad tendrá que hacer”. Filósofo y tecnólogo, Bostrom nos pide que pensemos seriamente en el mundo gobernado por máquinas pensantes que estamos construyendo. Estas máquinas inteligentes nos ayudarán a preservar nuestra humanidad y nuestros valores, ¿o tendrán sus propios valores?
4.2 Erik Brynjolfsson & Andrew McAfee: “The Second Machine Age”
In recent years, computers have learned to diagnose diseases, drive cars, write clean prose, and win at Jeopardy!. Advances like these have created unprecedented economic bounty, but in their wake median income has stagnated and the share of the population with jobs has fallen. MIT’s Erik Brynjolfsson and Andrew McAfee reveal the technological forces driving this reinvention of our economy and chart a path toward future prosperity. Businesses and individuals, they argue, must learn to race with machines.
4.3 Daniel Innerarity La política en la era de los limites“.
Charla del filosofo vasco Daniel Innerarity en el marco del “Conversatorio: Capacidades Estatales para enfrentar un entorno de complejidad
4.4 Neri Oxman Design at the Intersection of Technology and Biology
5. ¿Qué tienes que saber para vivir con esto?
Never before has so much data been available to the public. From crime statistics to public school test scores, citizens have the ability to access mountains of data on issues that impact their lives locally and globally. But having information isn’t the same as being informed. How can citizens use data to identify trends or pinpoint new solutions? In the past two decades, visualization—the graphical display of information— has become a skill as important as literacy or numeracy, as it is arguably the most powerful tool to help us derive meaning from the enormous amounts of data produced daily. Until recently the tools of data visualization were available only to scientists, statisticians, and designers. But now, thanks to easier and cheaper tools, data visualization is becoming a language available to everyone. Join international expert Professor Alberto Cairo to see these tools at work and see how you can apply them.
Andreas Ekström The Moral Bias Behind Your Search Results
Search engines have become our most trusted sources of information and arbiters of truth. But can we ever get an unbiased search result? Swedish author and journalist Andreas Ekström argues that such a thing is a philosophical impossibility. In this thoughtful talk, he calls on us to strengthen the bonds between technology and the humanities, and he reminds us that behind every algorithm is a set of personal beliefs that no code can ever completely eradicate.
5.3 Hackeo vida cotidiana
Amy Webb How I hacked online dating
Amy Webb was having no luck with online dating. The dates she liked didn’t write her back, and her own profile attracted crickets (and worse). So, as any fan of data would do: she started making a spreadsheet. Hear the story of how she went on to hack her online dating life — with frustrating, funny and life-changing results.
Framestore’s Mike McGee on the power of virtual reality to invigorate storytelling
In the latest in a series of interviews exploring pure creativity, and how it is conceived, nurtured and grown, we talk to Mike McGee, Co-Founder & Creative Director of Oscar-winning visual effects company Framestore.
5.4 Coches Autónomos
Kenneth Cukier: Big data is better data
Los automóviles autodirigidos fueron solo el comienzo. ¿Cuál es el futuro de la tecnología y el diseño impulsado por los datos masivos? En esta apasionante charla científica Kenneth Cukier observa lo que esto supone para el aprendizaje automático, y, por ende, para el conocimiento humano.
Christopher Steiner Algorithms Are Taking Over The World:
Christopher Steiner is the author of Automate This (2012) and $20 Per Gallon, a New York Times Bestseller (2009). He is a cofounder at Aisle50, a Y Combinator company that sells grocery deals through the Web. Before starting Aisle50 in 2011, Steiner was a senior writer covering technology at Forbes magazine for seven years.
5.6 La Frontera al alcance de la mano: Deep Mind
Demis Hassabis Inside DeepMind
The quest for artificial intelligence starts with Space Invaders. Researchers have created a new agent, capable of learning to play dozens of computer games from only minimal information. The work comes from inside the offices of mysterious Google-owned company DeepMind. Nature Video gets a rare glimpse inside.
Demis Hassabis – The Future of Artificial Intelligence
Dr. Demis Hassabis is the Co-Founder and CEO of DeepMind, the world’s leading General Artificial Intelligence (AI) company, which was acquired by Google in 2014 in their largest ever European acquisition. Demis draws on his eclectic experiences as an AI researcher, neuroscientist and videogames designer to discuss what is happening at the cutting edge of AI research, its future impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind.
The Panama Papers is a global investigation into the sprawling, secretive industry of offshore that the world’s rich and powerful use to hide assets and skirt rules by setting up front companies in far-flung jurisdictions.
Based on a trove of more than 11 million leaked files, the investigation exposes a cast of characters who use offshore companies to facilitate bribery, arms deals, tax evasion, financial fraud and drug trafficking.
Behind the email chains, invoices and documents that make up the Panama Papers are often unseen victims of wrongdoing enabled by this shadowy industry. This is their story.
FESTIVAL DE VIDEOS
Mc Gee Fremastore
Charlas de Hans Rossling
The ethical dilemma of self-driving cars – Patrick Lin
PONG played by a crowd – Bang Goes The Theory – Series 6 – BBC
Potencias de Diez Powers of Ten™ (1977)
Cybathlon 2016-The Push Continues to Merge the Iron & Clay
Humans Need Not Apply
Hal 9000 Deactivation
Cyborgs are Real
Deep Mind Space Invaders