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thinkahol *

Jeff Hawkins on Artificial Intelligence - Part 1/5 - YouTube - 0 views

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    The founder of Palm, Jeff Hawkins, solves the mystery of Artificial Intelligence and presents his theory at the RSA Conference 2008. He gives a brief tutorial on the neocortex and then explains how the brain stores memory and then describes how to use that knowledge to create artificial intelligence. This lecture is insightful and his theory will revolutionize computer science.
thinkahol *

Building Gods | Watch Free Documentary Online - 0 views

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    This film by Ken Gumbs tackles the issue of pending greater-than-human artificial intelligence and the possible ramifications. Different individuals with different backgrounds are interviewed on the subject, including a theologian, a philosopher, a brain builder and a cyborg. A wide spectrum of topics are discussed, including trans-humanism, mind-machine mergers, uploading, and artificial super-intelligence.
thinkahol *

Future Intelligence | Watch Free Documentary Online - 0 views

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    Catch a first-time glimpse at smart technology that will put android helpers in the home, network commuters and entire cities to the Web, and bring us entertainment systems that can virtually make dreams come true. Advances in artificial intelligence are creating machines with near human-like mental agility. Intelligence will be embedded everywhere - even in our clothing, thanks to smaller, more powerful computers. Soon, we will be able to build computers with artificial intelligence and processing power that rivals the human brain. Intelligence will be everywhere, in our clothing, our vehicles and homes. Intelligent robots will serve us - until they don't feel like doing so anymore. And what happens then…?
gowitetechie

Examples of AI | AI Applications - 0 views

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    Artificial Intelligence has several applications in real life such as Customer Service, Human Resources, Logistics, E-commerce, and Cyber Security.
thinkahol *

Artificial life forms evolve basic intelligence - life - 04 August 2010 - New Scientist - 0 views

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    Digital organisms not only mutate and evolve, they also have memory - so how long before they acquire intelligence too?
thinkahol *

Op-Ed Contributor - The First Church of Robotics - NYTimes.com - 0 views

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    The concept of artificial intelligence clouds our view of the world.
thinkahol *

Nanobiotechnology advances point to medical applications - 0 views

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    "ScienceDaily (Aug. 31, 2010) - Two new groundbreaking scientific papers by researchers at UC Santa Barbara demonstrate the synthesis of nanosize biological particles with the potential to fight cancer and other illnesses. The studies introduce new approaches that are considered "green" nanobiotechnology because they use no artificial compounds."
thinkahol *

Technology: Necessary but Insufficient for Human Survival | Thinkahol's Blog - 0 views

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    In the context of technology the only way out is through. Global society is dependent on artificially inflated energy resources-i.e. oil-that are directly leading us toward total collapse. Technology is being used to most efficiently maximize wealth of the largest corporate conglomerates at the expense of the social fabric and a living environment. The biosphere is in fact collapsing. The technology exists to solve our technical problems but the solutions do not seem like they will be effectively put to use. The power structures concentrating money off the status quo are too entrenched. Each human is called on to become more aware.
Todd Suomela

Hello, Darkness - 96.03 - 0 views

  • But the implication of electricity in the sleep deficit seems hard to argue with. Whatever it is that we wish or are made to do--pursue leisure, earn a living--there are simply far more usable hours now in which to do it
  • In the United States at midnight more than five million people are at work at full-time jobs. Supermarkets, gas stations, copy shops--many of these never close.
  • Living with electric lights makes it difficult to retrieve the experience of a non-electrified society. For all but the very wealthy, who could afford exorbitant arrays of expensive artificial lights, nightfall brought the works of daytime to a definitive end. Activities that need good light--where sharp tools are wielded or sharply defined boundaries maintained; purposeful activities designed to achieve specific goals; in short, that which we call work--all this subsided in the dim light of evening. Absent the press of work, people typically took themselves safely to home and were left with time in the evening for less urgent and more sensual matters: storytelling, sex, prayer, sleep, dreaming.
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  • John Staudenmaier, a historian of technology and a Jesuit priest, for a recent conference at MIT. (The essay will appear in a book called The Idea of Progress Revisited, edited by Leo Marx and Bruce Mazlish.) Staudenmaier makes the point--obvious when brought up, though we've mostly lost sight of it--that from the time of the hominid Lucy, in Hadar, Ethiopia, to the time of Thomas Edison, in West Orange, New Jersey, the onset of darkness sharply curtailed most kinds of activity for most of our ancestors.
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    Speculative connections between electric lighting, sleep deficits, and health.
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    I wonder if the driving force behind the sleep deficit is in fact more pervasive, and indeed global in nature: the triumph of light.
Todd Suomela

Human Computer Interaction (HCI) by John M. Carroll - Interaction-Design.org: HCI, Usab... - 0 views

  • The challenge of personal computing became manifest at an opportune time. The broad project of cognitive science, which incorporated cognitive psychology, artificial intelligence, linguistics, cognitive anthropology, and the philosophy of mind, had formed at the end of the 1970s. Part of the programme of cognitive science was to articulate systematic and scientifically-informed applications to be known as "cognitive engineering". Thus, at just the point when personal computing presented the practical need for HCI, cognitive science presented people, concepts, skills, and a vision for addressing such needs. HCI was one of the first examples of cognitive engineering. Other historically fortuitous developments contributed to establishment of HCI. Software engineering, mired in unmanageable software complexity in the 1970s, was starting to focus on nonfunctional requirements, including usability and maintainability, and on non-linear software development processes that relied heavily on testing. Computer graphics and information retrieval had emerged in the 1970s, and rapidly came to recognize that interactive systems were the key to progressing beyond early achievements. All these threads of development in computer science pointed to the same conclusion: The way forward for computing entailed understanding and better empowering users.
  • One of the most significant achievements of HCI is its evolving model of the integration of science and practice. Initially this model was articulated as a reciprocal relation between cognitive science and cognitive engineering. Later, it ambitiously incorporated a diverse science foundation, notably Activity Theory, distributed cognition, and ethnomethodology, and a culturally embedded conception of human activity, including the activities of design and technology development. Currently, the model is incorporating design practices and research across a broad spectrum. In these developments, HCI provides a blueprint for a mutual relation between science and practice that is unprecedented.
  • In the latter 1980s and early 1990s, HCI assimilated ideas from Activity Theory, distributed cognition, and ethnomethodology. This comprised a fundamental epistemological realignment. For example, the representational theory of mind, a cornerstone of cognitive science, is no longer axiomatic for HCI science. Information processing psychology and laboratory user studies, once the kernel of HCI research, became important, but niche areas. The most canonical theory-base in HCI now is socio-cultural, Activity Theory. Field studies became typical, and eventually dominant as an empirical paradigm. Collaborative interactions, that is, groups of people working together through and around computer systems (in contrast to the early 1980s user-at-PC situation) have become the default unit of analysis. It is remarkable that such fundamental realignments were so easily assimilated by the HCI community.
Adam Fleaming

Initiative Targets Big Data Workloads {Open Hybrid} - Compliance4all - 0 views

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    Hortonworks, IBM and Red Hat today announced they're banding together to build a consistent hybrid computing architecture for big data workloads. Dubbed the Open Hybrid Architecture Initiative, the program pledges simplicity of deployment and freedom of movement for data apps. The rapid ascent of cloud computing platforms like AWS, Azure, and Google Cloud has given enterprises abundant new options for storing data and deploying processing-intensive applications, such as deep learning and real-time stream processing. Throw in the progress being made at the edge, with sensors and speedy ARM chips collecting and processing massive amounts of data, and you have the makings of a computing revolution. While the computing possibilities in the cloud and on the edge may appear bountiful, the reality is that the underlying architectures for building apps that can span these three modes are just starting to come together. Enterprises today face a dearth of repeatable patterns to guide their developers, administrators, and architects, who are tasked with building, deploying and maintaining hybrid that span not just the cloud and the edge, but traditional on-prem data centers too. Hybrid computing architecture for big data workloads https://goo.gl/GQVXjs
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    Hybrid computing architecture for big data workloads https://goo.gl/GQVXjs
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