Why are past, present, and future our only options? But things get awkward if you have a friend. (Use your imagination if necessary.) Low blow, Dr. Dave. Low blow... But seriously, I always figured if there was more than one dimension of time, that moving "left" or "right" would be the equivalent of moving to a parallel universe where things were slightly different. That is to say, maybe time really is 2 dimensional, but for all the reasons you mention, we're normally only aware of one of them—and for the most part, the same one that most of the people we meet are aware of. But take, say, a schizophrenic person—maybe they're tuned in differently; moving sideways through time instead of forward... or maybe moving through (and aware of) both simultaneously. They can't form coherent thoughts because they're constantly confronted with overlapping and shifting realities. I dunno... that's all just speculation, of course, but I find that thought fascinating.
Artificial life Artificial life (often abbreviated ALife or A-Life[1]) is a field of study and an associated art form which examine systems related to life, its processes, and its evolution, through the use of simulations with computer models, robotics, and biochemistry.[2] The discipline was named by Christopher Langton, an American computer scientist, in 1986.[3] There are three main kinds of alife,[4] named for their approaches: soft,[5] from software; hard,[6] from hardware; and wet, from biochemistry. Artificial life imitates traditional biology by trying to recreate some aspects of biological phenomena.[7] The term "artificial intelligence" is often used to specifically refer to soft alife.[8] Overview[edit] Artificial life studies the logic of living systems in artificial environments in order to gain a deeper understanding of the complex information processing that defines such systems. Philosophy[edit] Organizations[edit] Software-based - "soft"[edit] Techniques[edit] Notable simulators[edit]
Artificial Robotic Hand Transmits Feeling To Nerves Astro Teller has an unusual way of starting a new project: He tries to kill it. Teller is the head of X, formerly called Google X, the advanced technology lab of Alphabet. At X’s headquarters not far from the Googleplex in Mountain View, Calif., Teller leads a group of engineers, inventors, and designers devoted to futuristic “moonshot” projects like self-driving cars, delivery drones, and Internet-beaming balloons. To turn their wild ideas into reality, Teller and his team have developed a unique approach. It starts with trying to prove that whatever it is that you’re trying to do can’t be done—in other words, trying to kill your own idea. As Teller explains, “Instead of saying, ‘What’s most fun to do about this or what’s easiest to do first?’ The ideas that survive get additional rounds of scrutiny, and only a tiny fraction eventually becomes official projects; the proposals that are found to have an Achilles’ heel are discarded, and Xers quickly move on to their next idea.
Artificial intelligence AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects.[6] General intelligence is still among the field's long-term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. The field was founded on the claim that a central property of humans, intelligence—the sapience of Homo sapiens—"can be so precisely described that a machine can be made to simulate it History[edit]
Nanotechnology Basics Home > Introduction > Nanotechnology Basics Nanotechnology Basics Last Updated: Friday, 14-Jun-2013 09:28:04 PDT What is Nanotechnology? Answers differ depending on who you ask, and their background. Coined as "nano-technology" in a 1974 paper by Norio Taniguchi at the University of Tokyo, and encompassing a multitude of rapidly emerging technologies, based upon the scaling down of existing technologies to the next level of precision and miniaturization. Foresight Nanotech Institute Founder K. In the future, "nanotechnology" will likely include building machines and mechanisms with nanoscale dimensions, referred to these days as Molecular Nanotechnology (MNT). Click image for larger version. This image was written using Dip-Pen Nanolithography, and imaged using lateral force microscopy mode of an atomic force microscope. It uses a basic unit of measure called a "nanometer" (abbreviated nm). There are one billion nm's to a meter. One thousandth of that is a millimeter.
Newsroom - Genius of Einstein, Fourier key to new humanlike computer vision This graphic illustrates a new computer-vision technology that builds on the basic physics and mathematical equations related to how heat diffuses over surfaces. The technique mimics how humans perceive three-dimensional shapes by instantly recognizing objects no matter how they are twisted or bent, an advance that could help machines see more like people. Here, a "heat mean signature" of a human hand model is used to perceive the six segments of the overall shape and define the fingertips. Download image WEST LAFAYETTE, Ind. - Two new techniques for computer-vision technology mimic how humans perceive three-dimensional shapes by instantly recognizing objects no matter how they are twisted or bent, an advance that could help machines see more like people. The techniques, called heat mapping and heat distribution, apply mathematical methods to enable machines to perceive three-dimensional objects, said Karthik Ramani, Purdue University's Donald W. Download image Yi Fang, fang4@purdue.edu
Artificial Intelligence - Volume 1: Chatbot NetLogo Model Produced for the book series "Artificial Intelligence"; Author: W. J. powered by NetLogo view/download model file: Chatbot.nlogo This model implements two basic chatbots - Liza and Harry. The model makes use of an extension to NetLogo called "re" for regular expressions. First press the setup button in the Interface - this will load the rules for each chatbot. The Interface buttons are defined as follows:- setup: This loads the rules for each chatbots.- chat: This starts or continues the conversation with the chatbot that was selected using the bot chooser. The Interface chooser and switch is defined as follows:- bot: This sets the chatbot to the Liza chatbot, the Harry chatbot or Both.- debug-conversation: If this is set to On, debug information is also printed showing which rules matched. Harry seems to do a bit better at being paranoid than Liza does at being a Rogerian psychotherapist. Try out the different chatbots by changing the bot chooser.
h+ Magazine | Covering technological, scientific, and cultural trends that are changing human beings in fundamental ways. Michelle Ewens March 24, 2011 The concept of utility fog – flying, intercommunicating nanomachines that dynamically shape themselves into assorted configurations to serve various roles and execute multifarious tasks – was introduced by nanotech pioneer J. Storrs Hall in 1993. Recently in H+ Magazine, Hall pointed out that swarm robots are the closest thing we have to utility fog. This brings the concept a little bit closer to reality. For instance, a few years ago Dr. However, if a future foglet ever became conscious enough to dissent from its assigned task and spread new information to the hive mind, this might cause other constituent foglets to deviate from their assigned tasks. Eric Drexler, who coined “grey goo” in his seminal 1986 work on nanotechnology, “Engines of Creation,” now resents the term’s spread since it is often used to conjure up fears of a nanotech-inspired apocalypse. What Is It Like to Be a Foglet? The Psychology of Groupthink The Ethics of Military Foglets
The Emergence of Collective Intelligence | Ledface Blog ~Aristotle When we observe large schools of fish swimming, we might wonder who is choreographing that complex and sophisticated dance, in which thousands of individuals move in harmony as if they knew exactly what to do to produce the collective spectacle. So, what is “Emergence”? School of fishes dancing is an example of “emergence”, a process where new properties, behaviors, or complex patterns results of relatively simple rules and interactions. One can see emergence as some magic phenomena or just as a surprising result caused by the current inability of our reductionist mind to understand complex patterns. Humans can do it too We humans have even built artificial environments that allow for collective intelligence to express itself. Each and every actor in the financial markets has no significant control over or awareness of its inputs. Can we transpose it to other domains? Nobody can single-handedly create “collective intelligence”. Too remote of a possibility?