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thinkahol *

Your Brain on Computers - Attached to Technology and Paying a Price - NYTimes.com - 0 views

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    Scientists say our ability to focus is being undermined by bursts of information from e-mail and other interruptions.
thinkahol *

An illustrated guide to the latest climate science « Climate Progress - 0 views

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    "In 2009, the scientific literature caught up with what top climate scientists have been saying privately for a few years now: * Many of the predicted impacts of human-caused climate change are occurring much faster than anybody expected - particularly ice melt, everywhere you look on the planet. * If we stay anywhere near our current emissions path, we are facing incalculable catastrophes by century's end, including rapid sea level rise, massive wildfires, widespread Dust-Bowlification, large oceanic dead zones, and 9°F warming - much of which could be all but irreversible for centuries. And that's not the worst-case scenario! * The consequences for human health and well being would be extreme. That's no surprise to anybody who has talked to leading climate scientists in recent years, read my book Hell and High Water (or a number of other books), or followed this blog. Still, it is a scientific reality that I don't think more than 2 people in 100 fully grasp, so I'm going to review here the past year in climate science. I'll focus primarily on the peer-reviewed literature, but also look at some major summary reports."
thinkahol *

21st Century Global Development Outline - Associated Content from Yahoo! - associatedco... - 0 views

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    Avoiding a World War Between Haves and Have Nots Via Focus on Transnational Infrastructure, Technocratic Management, and Post-scarcity (via Expanded Bill of Rights)
thinkahol *

Algorithms identify and track the most important privately-held technology companies | ... - 0 views

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    A startup called Quid has developed algorithms that analyze Internet-based data from corporations to make fast-moving technology developments visible, navigable, and understandable. Quid has built a data set combining information about firms that succeeded and sank, patent documents, government grants, help wanted advertisements, and tweets. Its algorithms use the collection of information to analyze the prospects of around 35,000 firms and research groups working on new technologies. By extracting words and phrases from the collected documents, Quid constructs a "technology genome" that describes the primary focus of each of those 35,000 entities. A map of the connections between those genomes can be used by investors to find hints about interesting companies or ideas. Most companies cluster around established sectors, but a few will sit in the white spaces between the clusters and can represent the seeds of new technology sectors.
marketngedwisor

How to become Data Scientist in 2019? | edWisor - 0 views

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    Are you starting for your career as a data scientist? To become an expert in data science you need to begin from the ground up. And you need to get a step-by-step guide to becoming a data scientist and for learning a particular skill. Instead of jumping for a master program in computer science you need to focus mathematics, python,r-programming or statistics or develop a skill in data science. If you are looking out for such a learning institute then you could also take a walk for edwisor.com as it works for enrolled students in data science career program as well as in the hiring process and gets 4 Guaranteed interviews at top organizations.
thinkahol *

YouTube - Think faster focus better and remember moreRewiring our brain to stay younger... - 0 views

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    October 24, 2008 - Google Tech Talks June 16, 2008 ABSTRACT Explore the brain's amazing ability to change throughout a person's life. This phenomenon-called neuroplasticty-is the science behind brain fitness, and it has been called one of the most extraordinary scientific discoveries of the 20th century. PBS had recently aired this special, The Brain Fitness Program, which explains the brain's complexities in a way that both scientists and people with no scientific background can appreciate. This is opportunity to learn more about how our minds work-and to find out more about the latest in cutting-edge brain research, from the founder of Posit Science and creator of the Brain Fitness Program software, Dr. Michael Merzenich. Speaker: Dr. Michael Merzenich, Ph.D. Michael M. Merzenich, PhD: Chief Scientific Officer Dr. Merzenich leads the company's scientific team. For more than three decades, Dr. Merzenich has been a leading pioneer in brain plasticity research. He is the Francis A. Sooy Professor at the Keck Center for Integrative Neurosciences at UCSF. Dr. Merzenich is a member of the National Academy of Sciences. He is the recipient of numerous awards and prizes, including the Ipsen Prize, Zulch Prize of the Max Planck Institute, Thomas Alva Edison Patent Award and Purkinje Medal. Dr. Merzenich has published more than 200 articles, including many in leading peer-reviewed journals, such as Science and Nature. His work is also often covered in the popular press, including the New York Times, the Wall Street Journal, Time and Newsweek. He has appeared on Sixty Minutes II, CBS Evening News and Good Morning America. In the late 1980s, Dr. Merzenich was on the team that invented the cochlear implant, now distributed by market leader Advanced Bionics. In 1996, Dr. Merzenich was the founding CEO of Scientific Learning Corporation (Nasdaq: SCIL), which markets and distributes software that applies principles of brain plasticity to assist children with language
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.
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