Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets (social business intelligence) are in use in 100-200 large organizations for project management and revenue forecasting. Consumer prediction markets are becoming widely used for event prediction (election results, product sales, box office receipts).
The 8 Best Examples Of Real-Time Data AnalyticsBernard Marr
Real-time analytics are already being used in a wide range of business applications, including cracking down on fake news and helping police make cities safer. Find out more amazing examples of how companies today are using streaming analytics in real life.
Predictive Marketing: A fine line between useless data and patterns that sell.
Predictive marketing has been the buzzword recently. While most companies talk about it, many do not understand the underlying challenges and capabilities. Let's take a quick look at some of the current challenges for marketers, the data set and how predictive can serve a great purpose, if matured properly and embedded into our day to day activity.
Slides are powered by the team at https://www.Vbout.com - Powerful marketing technology for multi-channel campaigns
Big Data Monetization - The Path From Internal to ExternalcVidya Networks
"How can big data help us accelerate external monetization?"
A presentation by Hezi Zelevski, VP Corporate Development at cVidya
Presented in the " Monetizing Big Data in Telecoms World Summit 2015" conference in Singapore on April 20-21, 2015
The 8 Best Examples Of Real-Time Data AnalyticsBernard Marr
Real-time analytics are already being used in a wide range of business applications, including cracking down on fake news and helping police make cities safer. Find out more amazing examples of how companies today are using streaming analytics in real life.
Predictive Marketing: A fine line between useless data and patterns that sell.
Predictive marketing has been the buzzword recently. While most companies talk about it, many do not understand the underlying challenges and capabilities. Let's take a quick look at some of the current challenges for marketers, the data set and how predictive can serve a great purpose, if matured properly and embedded into our day to day activity.
Slides are powered by the team at https://www.Vbout.com - Powerful marketing technology for multi-channel campaigns
Big Data Monetization - The Path From Internal to ExternalcVidya Networks
"How can big data help us accelerate external monetization?"
A presentation by Hezi Zelevski, VP Corporate Development at cVidya
Presented in the " Monetizing Big Data in Telecoms World Summit 2015" conference in Singapore on April 20-21, 2015
Big Data is the new buzz word doing rounds these days. What is Big Data? How can be it used for advertising? Which companies use Big Data? How do they use it? What are benefits of Big Data? Know it all!
Artificial Intelligence - Implications for Business Strategy 2017-11-20. MIT-...Winston Dodson
Mixing two clichés - “Change happens!”. Our challenge in business, as in life, is to not only to meet these challenges but to take advantage of them while benefitting ourselves, our associates and our societies. The fast-moving development of Artificial Intelligence (AI) is a significant change and we may be living through an inflection point caused by these developments. In order to understand how we meet these many challenges must first understand AI.
Digital marketing for Doctors & Hospitals Pratima Sharma
Fill up the following questionnaire to get a FREE Audit Report on Online Marketing strategy for your hospital / clinic.
1. Doctor's / Hospitals's name
2. Location
3. Target Audience Range : city, demography, specific ailments or methodology of treatment
4. Will you like to have some videos shot to educate your patients?
5. Name social media channels you are actively present on.
6. Which healthcare networking platform do you use to connect with doctors and patients?
7. Are you aware about the potentials of tele medicine?
8. Are you aware about application of Internet of Things in healthcare industry?
A presentation to the Wake Forest Downtown Business Alliance about Organic vs. Paid Social Media. Presented by Angela Jamison, president/owner of Communicopia.
Many times we hear people talk about Data Analytics and how it can benefit your business. No more jargon, let's talk specific business real world applications
This is a case study I had worked on as a first year MIM student at University of Maryland (College Park), while studying INFM612 (Management of Information Programs and Services), taught by Dr. Ping Wang - a wonderful Professor.
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
This presentation introduces prediction markets, describes who uses them and why, and ends with an examination of how the prediction market industry is trying to make the act of making prediction more usable.
Are you learning as fast as the world is changing? Check out the Advanced Master in
Quantitative Finance programme at Solvay Brussels School www.areyoureadyforchange.be/quantitative-finance
So you want to predict the future? Oh, just some sentiment analysis, spam detection, stock market predictions? In that case the Google Prediction API is for you. Classification problems, Regression problems. This API is a great tool for any software developer and is easily accessible to anyone who is good with spreadsheets.
Tziralis & Ipeirotis at 3rd Prediction Markets WorkshopGeorge Tziralis
A research work by George Tziralis & Panos Ipeirotis.
Detecting Important Events
using Prediction Markets, Text
Mining, and Volatility Modeling.
Presented on July 9th in the 3rd Prediction Markets workshop, Kellog's School of Management, Northwestern University, Chicago
Presentation at the HEA-funded workshop 'Using technology-based media to engage and support students in the disciplines of Finance, Accounting and Economics'
The workshop presented a variety of innovative approaches, which use technology, to engage and support learning in business disciplines that students find particularly challenging. Delegates had the opportunity to share and evaluate good practice in implementing and developing online teaching resources and to reflect on how to develop their own teaching practice, using technologies available in most institutions.
This presentation is part of a related blog post that provides an overview of the event: http://bit.ly/1o1WfHU
For further details of the HEA's work on active and experiential learning in the Social Sciences, please see: http://bit.ly/17NwgKX
2014 market forecast based on algorithms. This presentation includes predictions for the S&P 500, the Dow Jones Industrial Average and the Nasdaq Composite.
Comparison of Multicriteria and Prediction Market Approaches for Technology F...Cédric Gaspoz
We present and compare two original approaches for technology assessment and foresight based on opposite paradigm: a management science approach (Multi-Criteria Decision-Making) versus a participatory approach (Prediction Market). These approaches are intended to support the management of a technology portfolio and the assessment of new technology by an IT organization. In order to explore the relevance of the research, we conducted several experiments in real environments. The results demonstrated that the rigor of management science and the participation of the Web 2.0 approach are complementary strengths for technology foresight. Furthermore, a framework has been established to compare the two approaches.
Big Data is the new buzz word doing rounds these days. What is Big Data? How can be it used for advertising? Which companies use Big Data? How do they use it? What are benefits of Big Data? Know it all!
Artificial Intelligence - Implications for Business Strategy 2017-11-20. MIT-...Winston Dodson
Mixing two clichés - “Change happens!”. Our challenge in business, as in life, is to not only to meet these challenges but to take advantage of them while benefitting ourselves, our associates and our societies. The fast-moving development of Artificial Intelligence (AI) is a significant change and we may be living through an inflection point caused by these developments. In order to understand how we meet these many challenges must first understand AI.
Digital marketing for Doctors & Hospitals Pratima Sharma
Fill up the following questionnaire to get a FREE Audit Report on Online Marketing strategy for your hospital / clinic.
1. Doctor's / Hospitals's name
2. Location
3. Target Audience Range : city, demography, specific ailments or methodology of treatment
4. Will you like to have some videos shot to educate your patients?
5. Name social media channels you are actively present on.
6. Which healthcare networking platform do you use to connect with doctors and patients?
7. Are you aware about the potentials of tele medicine?
8. Are you aware about application of Internet of Things in healthcare industry?
A presentation to the Wake Forest Downtown Business Alliance about Organic vs. Paid Social Media. Presented by Angela Jamison, president/owner of Communicopia.
Many times we hear people talk about Data Analytics and how it can benefit your business. No more jargon, let's talk specific business real world applications
This is a case study I had worked on as a first year MIM student at University of Maryland (College Park), while studying INFM612 (Management of Information Programs and Services), taught by Dr. Ping Wang - a wonderful Professor.
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
This presentation introduces prediction markets, describes who uses them and why, and ends with an examination of how the prediction market industry is trying to make the act of making prediction more usable.
Are you learning as fast as the world is changing? Check out the Advanced Master in
Quantitative Finance programme at Solvay Brussels School www.areyoureadyforchange.be/quantitative-finance
So you want to predict the future? Oh, just some sentiment analysis, spam detection, stock market predictions? In that case the Google Prediction API is for you. Classification problems, Regression problems. This API is a great tool for any software developer and is easily accessible to anyone who is good with spreadsheets.
Tziralis & Ipeirotis at 3rd Prediction Markets WorkshopGeorge Tziralis
A research work by George Tziralis & Panos Ipeirotis.
Detecting Important Events
using Prediction Markets, Text
Mining, and Volatility Modeling.
Presented on July 9th in the 3rd Prediction Markets workshop, Kellog's School of Management, Northwestern University, Chicago
Presentation at the HEA-funded workshop 'Using technology-based media to engage and support students in the disciplines of Finance, Accounting and Economics'
The workshop presented a variety of innovative approaches, which use technology, to engage and support learning in business disciplines that students find particularly challenging. Delegates had the opportunity to share and evaluate good practice in implementing and developing online teaching resources and to reflect on how to develop their own teaching practice, using technologies available in most institutions.
This presentation is part of a related blog post that provides an overview of the event: http://bit.ly/1o1WfHU
For further details of the HEA's work on active and experiential learning in the Social Sciences, please see: http://bit.ly/17NwgKX
2014 market forecast based on algorithms. This presentation includes predictions for the S&P 500, the Dow Jones Industrial Average and the Nasdaq Composite.
Comparison of Multicriteria and Prediction Market Approaches for Technology F...Cédric Gaspoz
We present and compare two original approaches for technology assessment and foresight based on opposite paradigm: a management science approach (Multi-Criteria Decision-Making) versus a participatory approach (Prediction Market). These approaches are intended to support the management of a technology portfolio and the assessment of new technology by an IT organization. In order to explore the relevance of the research, we conducted several experiments in real environments. The results demonstrated that the rigor of management science and the participation of the Web 2.0 approach are complementary strengths for technology foresight. Furthermore, a framework has been established to compare the two approaches.
This is my presentation from Talks #32 - http://www.softbinator.ro/events/talks-32/
It is in Romanian && English
Pentru discuții puteți să vă alăturați grupului de Facebook - Talks by Softbinator:
https://www.facebook.com/groups/talks.by.softbinator/
Singularity University Live Prediction Markets Simulation & Big Data Quantita...Melanie Swan
Singularity University Live Prediction Markets Workshop & Big Data Quantitative Indicators: Creating the future means being able to understand and operate within multiple areas of rapidly changing technology. We need to know how to harness the many digital tools and indicators at our disposal. Market principles are being deployed on a larger scale in novel ways to rethink traditional institutions and allow unprecedented global-scale collaboration, communication, remuneration, and real-time information flow through prediction markets, cyber-currencies (Bitcoin, etc.), and eLabor marketplaces.
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
Data Science Innovations : Democratisation of Data and Data Science suresh sood
Data Science Innovations : Democratisation of Data and Data Science covers the opportunity of citizen data science lying at the convergence of natural language generation and discoveries in data made by the professions, not data scientists.
Prediction Markets - Singularity University 2013Melanie Swan
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Centerp...Geoffrey Fox
Motivating Introduction to MOOC on Big Data from an applications point of view https://bigdatacoursespring2014.appspot.com/course
Course says:
Geoffrey motivates the study of X-informatics by describing data science and clouds. He starts with striking examples of the data deluge with examples from research, business and the consumer. The growing number of jobs in data science is highlighted. He describes industry trend in both clouds and big data.
He introduces the cloud computing model developed at amazing speed by industry. The 4 paradigms of scientific research are described with growing importance of data oriented version. He covers 3 major X-informatics areas: Physics, e-Commerce and Web Search followed by a broad discussion of cloud applications. Parallel computing in general and particular features of MapReduce are described. He comments on a data science education and the benefits of using MOOC's.
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Center...Geoffrey Fox
Motivating Introduction to MOOC on Big Data from an applications point of view https://bigdatacoursespring2014.appspot.com/course
Course says:
Geoffrey motivates the study of X-informatics by describing data science and clouds. He starts with striking examples of the data deluge with examples from research, business and the consumer. The growing number of jobs in data science is highlighted. He describes industry trend in both clouds and big data.
He introduces the cloud computing model developed at amazing speed by industry. The 4 paradigms of scientific research are described with growing importance of data oriented version. He covers 3 major X-informatics areas: Physics, e-Commerce and Web Search followed by a broad discussion of cloud applications. Parallel computing in general and particular features of MapReduce are described. He comments on a data science education and the benefits of using MOOC's.
Minne analytics presentation 2018 12 03 final compressedBonnie Holub
Monday was another great conference by MinneAnalytics! #MinneFRAMA was a great success with over 1,100 attendees at Science Museum of Minnesota. Alison Rempel Brown is a great host! A Teradata colleague told me that her post about my presentation "blew up" with hits and she got over 2K views, and 60+ likes. I'm proud to be a part of this great #datascience organization brining #machinelearning and #artificialintelligence #analytics to our #bigdata clients. If you want my slides, here they are.
Meenakshi Nagarajan,Amit Sheth,Selvam Velmurugan, "Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications," Tutorial at WWW2011, Hyderabad, India, March 28, 2011.
More info at:
http://knoesis.org/library/resource.php?id=1030
http://www2011india.com/tutorialstr27.html
AI Health Agents: Longevity as a Service in the Web3 GenAI Quantum RevolutionMelanie Swan
Health Agents are a form of Math Agent as the concept of a personalized AI health advisor delivering “healthcare by app” instead of “sickcare by appointment.” Mobile devices
can check health 1000 times per minute as opposed to the standard one time per year doctor’s office visit, and model virtual patients in the digital twin app. As any AI agent, Health Agents “speak” natural language to humans and formal language to the computational infrastructure, possibly outputting the mathematics of personalized homeostatic health as part of their operation. Health Agents could facilitate the ability of physicians to oversee the health of thousands of individuals at a time. This could ease overstressed healthcare systems and contribute to physician well-being and the situation that (per the World Health Organization) more than half of the global population is still not covered by essential health services.
The computational infrastructure is becoming a vast interconnected fabric of formal methods, including per a major shift from 2d grids to 3d graphs in machine learning architectures
The implication is systems-level digital science at unprecedented scale for discovery in a diverse range of scientific disciplines
We know that we are in an AI take-off, what is new is that we are in a math take-off. A math take-off is using math as a formal language, beyond the human-facing math-as-math use case, for AI to interface with the computational infrastructure. The message of generative AI and LLMs (large language models like GPT) is not that they speak natural language to humans, but that they speak formal languages (programmatic code, mathematics, physics) to the computational infrastructure, implying the ability to create a much larger problem-solving apparatus for humanity-benefitting applications in biology, energy, and space science, however not without risk.
This work introduces “quantum intelligence” as a concept of intelligence for operating in the quantum realm may help in a potential AI-Quantum Computing convergence (~2030e), and towards the realization of SRAI for well-being (economics, health, energy, space). “Scale-free intelligence” is formulated as a generic capacity for learning.
AI did not spring onto the scene with chatGPT, but is in an ongoing multi-year adoption. A transition may be underway from an information society to a knowledge society (one tempered and specifically using knowledge to improve the human condition). AI is a dual-use technology with both significant risk and upleveling possibilities.
SRAI for well-being is a social objective, and also a technological objective. SRAI is part of AI development and within the technological trajectory of harnessing all scales of physical reality ranging from quantum materials to space exploration.
Conceptually, thinking in quantum and relativistic terms expands the physical worldview, and likewise the social worldview of entities inhabiting the larger world. Practically, SRAI may be realized in phases: short-term regulation and registries, medium-term agents learning to implement human values with internal reward functions, and long-term responsible human-AI entities acting in partnership in a future of SRAI for well-being.
The Human-AI Odyssey: Homerian Aspirations towards Non-labor IdentityMelanie Swan
The visionary progression in The Odyssey from shipbuilding to seafaring to advanced civilization informs contemporary tension in the human-AI relation forcing a broader articulation of human-identity beyond labor-identity. Edith Hall analyzes why one of the earliest known literatures, The Odyssey, remains a central cultural trope with numerous references in the storytelling vernacular of all eras, ranging from 1860s British theater to a highly-watched 1990 episode of The Simpsons. The argument is that The Odyssey provides a constant aspirational reference for human identity – who we think we are and where we are going on the epic journey of life, especially at the current crossroad in our relationship with technology.
The contemporary moment finds humanity, and the humanities, experiencing an identity crisis in the relationship with technology. Information science is having an ever more pervasive role in academia, and the machine economy continues to offload vast classes of tasks to labor-saving technology giving rise to two questions. First, at the level of labor-identity, humans wonder who they are as they have long defined their sense of self through their professional participation in the economy. Second, at the level of human-identity, with AI now performing cognitive labor in addition to physical labor, humans wonder if there is anything that remains uniquely human.
The effect of The Odyssey is to provide world-expanding imaginaries to change the way we see ourselves as subjects; in this way, Homer is an early modernist in reconfiguring our self-concept.
This work applies a philosophy (of literature)-aided information science method to discuss how Homer’s Odyssey persists as a literary imaginary to help us think through potential futures of human-AI flourishing as rapid automation continues to impact humanity. The intensity of the human-AI relation is likely to increase, which invites thought leadership to steward the transition to a potential AI abundance economy with fulfilling human-technology collaboration.
The shipbuilding-seafaring-advanced civilization progression in The Odyssey identifies that the human-AI relation is not one of the labor-identity-crisis of “robots stealing our jobs,” but rather one of the more difficult challenge of envisioning who we can be in the new larger world of human-AI partnership addressing a larger set of planetary-scale problems. Towards this new configuration of human-AI relation, the longer-term may hold radically different notions of identity, as we become physical-virtual hybrids, augmented post-disease entities in the health-faring, space-civilizing, energy-marshalling post-scarcity cultures of the future.
AdS Biology and Quantum Information ScienceMelanie Swan
Quantum Information Science is a fast-growing discipline advancing many areas of science such as cryptography, chemistry, finance, space science, and biology. In particular AdS/Biology, an interpretation of the AdS/CFT correspondence in biological systems, is showing promise in new biophysical mathematical models of topology (Chern-Simons (solvable QFT), knotting, and compaction). For example, one model of neurodegenerative disease takes a topological view of protein buildup (AB plaques and tau tangles in Alzheimer’s disease, alpha-synuclein in Parkinson’s disease, TDP-43 in ALS). AdS/Neuroscience methods are implicated in integrating multiscalar systems with different bulk-boundary space-time regimes (e.g. oncology tumors, fMRI + EEG imaging), entanglement (correlation) renormalization across scales (MERA, random tensor networks, melonic diagrams), entropy (possible system states), entanglement entropy (interrelated fluctuations and correlations across system tiers), and non-ergodicity (implied efficiency mechanisms since biology does not cycle through all possible configurations per temperature (thermotaxis), chemotaxis, and energy cues); Maxwell’s demon of biology (partition functions), conservation across system scales (biophysical gauge symmetry (system-wide conserved quantity)), and the presence of codes (DNA, codons, neural codes). A multiscalar AdS/CFT correspondence is mobilized in 4-tier ecosystem models (light-plankton-krill-whale and ion-synapse-neuron-network (AdS/Brain)).
Humanity’s constant project is expanding the range of attainable geography. Melville’s romance of the sea gives way to Kerouac’s romance of the road, and now the romance of space. In expanding into new geographies, markets (commerce) is the driving impulse, entailing a legal and judiciary system to order the new larger continuous marketplace, which brings a bigger overall scope of world under our control, and hence a new idea of who we are as subjects in this bigger domain.
Space Humanism is a concept of humanism based on the principles of inclusion, progress, and equity posited as a condition of possibility for a potential large-scale human movement into space. A philosophy of literature approach is used to contextualize Space Humanism, first through Melville-Foucault to articulate the mind-frame of extra-planetary geographies as one of human expansion, and second through posthuman philosophy extending from Shakespeare’s Renaissance humanism to contemporary enhancement-based theories of subjectivation.
Historical imaginaries outline subjectivation moments that have changed the whole notion who we are as humanity. Four examples are: the concept of the “new world” in Hegel’s philosophy, von Humboldt’s infographic maps, Baudelaire as the Painter of Modern Life, and Keats’s seeing the world in a new way upon reading an updated translation of Homer.
The reach to beyond-Earth geographies is a two-cultures project involving both arts and science. Technical competence is necessary to realize the aspirational, explorational, and survivalist aims of humanity pushing beyond planetary limits. Space was once a fantastic dream that is becoming quotidian with fourteen U.S. spaceports, six completed Blue Origin space tourist missions, and SpaceX having over 155 successful rocket launches including human space flights to and from the International Space Station. The notion of Space Human articulated through Shakespeare, Moby-Dick, and neuroenhancement informs the project of our reach to awaiting beyond-Earth geographies.
Quantum Information Science and Quantum Neuroscience.pptMelanie Swan
Mathematical advance in quantum information science is proceeding quickly and applies to many fields, particularly the complexities of neuroscience (here focusing on image-readable physical behaviors such as neural signaling, as opposed to higher-order operations of cognition, memory, and attention). Quantum mathematical models are extensible to neuroscience problem classes treating dynamical time series, diffusion, and renormalization in multiscalar systems. Approaches first reconstruct wavefunctions observed in EEG and fMRI scans. Second, single-neuron models (Hodgkin-Huxley, integrate-and-fire, theta neurons) and collective neuron models (neural field theories, Kuramoto oscillators) are employed to model empirical data. Third, genome physics is used to study time series sequence prediction in DNA, RNA, and proteins based on 3d+ complex geometry involving fields, curvature, knotting, and information compaction. Finally, quantum neuroscience physics is applied in AdS/Brain modeling, Chern-Simons biology (topological invariance), neuronal gauge theories, network neuroscience, and the chaotic dynamics of bifurcation and bistability (to explain epileptic and resting states). The potential benefit of this work is an improved understanding of disease and pathology resolution in humans.
Quantum information science enables a new tier of scientific problem-solving as exemplified in early-adopter fields, foundational tools in quantum cryptography, quantum machine learning, and quantum chemistry (molecular quantum mechanics), and advanced applications in quantum space science, quantum finance, and quantum biology
Grammatology and Performativity: A Critical Theory of Silence: Silence is a crucial device for subversion, opposition, and socio-political commentary, the theoretical underpinnings of which are just starting to be understood. This work illuminates another position in the growing field of critical silence studies, theorizing silence as an asset whose ontological value has been lost in a world of literal and figurative noise. Part 1 philosophizes silence as a continuation of Derrida’s grammatology project. Such a grammatology of silence valorizes silent thinking over noisy speaking, and identifies the deconstructive binary pairing not as silence-speaking, but rather as silence-noise. Noise has a simultaneous physical-virtual existence as Shannon entropy calculates signal-to-noise ratios in modern communications networks. Part 2 employs the philosophy of noise to assess what is conceptually necessary to overcome noise in a critical theory of silence. Malaspina draws from Simondon to argue that noise is a form of individuation, essentially a living thing with unstoppable growth potential, not defined by a binary on-off switch but as a matter of gradation. Hence different theory resources are required to oppose it. Part 3 then develops a critical theory of silence to oppose noise in both its physical and virtual instantiations, with the two arms of a deeply human positive performativity (Szendy, Bennett) and a beyond-computational posthumanism (Puar). The result is a novel critical theory of silence as positive performativity that destabilizes noise and recoups the ontological status of silence as not merely an empty post-modern reification but a meaningful actuality.
Philosophy-aided Physics at the Boundary of Quantum-Classical Reality The philosophical themes of truth-knowledge and appearance-reality are used to interrogate the contemporary situation of the quantum-classical boundary, and more broadly the quantum-classical-relativistic stratification of physical scale boundaries. The contemporary moment finds us at breakneck pace in the industrial information revolution, digitizing remaining matter-based industries into a seamless exchange between physical-digital reality. Digitized news is giving way to digitized money and perhaps in the farther future, digitized mindfiles (such as personalized connectome files for precision medicine, autologous (own-DNA) stem cell therapies, and CRISPR for Alzheimer’s disease prevention). Our technologies are allowing us control over vast new domains, the relativistic with GPS and space-faring, and the quantum with quantum computing, harnessing the properties of superposition, entanglement, and interference. Philosophy provides critical thinking tools that can help us understand and master these rapid shifts in science and technology to avoid an Adornian instrumental reality (subsuming humanity under societal structures) and to maintain a Heideggerian backgrounded and enabling relation with technology (versus technology enframing us into mindless standing reserve).
The philosophical theme underlying the investigation of the scales of planets, persons, and particles is the relationship between truth and knowledge (or appearance and reality). The truth-knowledge problem is whether knowledge of the truth, true knowledge, the reality under the appearance, is even possible. Three salient moments in the history of the truth-knowledge problem are examined here. These are the German idealism of Kant and Hegel, the deconstructive postmodernism of Foucault and Derrida, and the unclear leanings of the current moment. The German idealism lens incorporates the self-knowing subject as agent into the truth and knowledge problem. The postmodernist view breaks with the subject and emphasizes the hidden opposites in the formulations, the constant reinterpretation of meaning, and porous boundaries. The contemporary moment wonders whether truth-knowledge boundaries still hold, in a Benjaminian view of non-identity between truth and knowledge, and truth increasingly being seen as a Foucauldian biopolitical manufactured quantity. Contemporaneity has a bimodal distribution of the subject: the hyperself (the constantly digitally represented selfie self) and the alienated post-subject subject.
These moments in the truth and knowledge debate inflect into the scale considerations of relativity, classicality, and quantum mechanics. Whereas general relativity and quantum mechanics are domains of universality, totality, and multiplicity, everyday classical reality is squeezed in as a belt between the two multiplicities as the concretion of drawing a triangle or tossing a ball. Recasting truth and k
Comprehensive philosophical programs arise within a historical context (for Hegel and Derrida in the democracy-shaping moments of the French Revolution (1789) and the student-worker protests (1968) in which French politics serve as a global harbinger of contemporary themes). In the Derrida-Hegel relationship, there is more rapprochement concerning core notions of difference, history, and meaning-assignation than may have been realized. In particular, Hegel’s philosophy, despite being assumed to be a totalizing system, in fact indicates precisely some of the same kinds of revised metaphysics-of-presence formulations that Derrida exhorts, namely those that are flexible, expansive, and include non-identity and identity.
A crucial Derrida-Hegel interchange is that of différance and difference. Derrida develops the notion directly from Hegel (“Différance,” “The Pit and the Pyramid”), but only draws from the Encyclopedia, not Hegel’s masterwork, the Phenomenology of Spirit. For Derrida, the “A” in différance is inspired by the form of the pyramid in the capitalized letter and in Hegel’s comparing the sign “to the Egyptian Pyramid” (“Différance,” p. 3). Derrida invokes the symbolism of the pyramid, antiquity, and Egyptian hieroglyphics as an early semiotic system. However, when considering Hegel’s central definition of difference in the dialectical progression of thesis-antithesis-synthesis in the Phenomenology of Spirit (§§159-163), the articulations of différance and difference are remarkably aligned.
Parallel formulations are also seen in history as a series of reinterpretable events, and indexical wrappers as a mechanism for meaning assignation. The thinkers examine the universal and the particular by exploring regulative mechanisms such as law (natural and social). In Glas, Derrida highlights not the singular-universal relation, but the law of singularity and the law of universality relation as being relevant to Hegel’s Antigone interpretation (Glas, p. 142a), a theme continued in “Before the Law.” Finally (time permitting), there is a question whether the most valid critiques of Hegel (Nietzsche’s unreason and Benjamin’s non-synthesis), as alternatives to Hegelian dialectics, are visible in Derrida’s thought.
The upshot is that the two thinkers produce similar formulations, derived from different trajectories of philosophical work; a situation which points to the potential universality of fundamental solution classes to open-ended philosophical problems, including the future of democracy.
Quantum Moreness: Kantian Time and the Performative Economics of Multiplicity
There is no domain with greater moreness than that of the quantum. A philosophy-aided physics approach (postmodernism and Continental philosophy) examines the contemporary situation of quantum moreness (more time and space dimensions than are available classically). Quantum moreness is configured by quantum reality being probabilistic; a multiplicity of outcomes all co-existing in superposition until collapsed in measurement. The quantum mindset uses quantum moreness to solve problems by thinking in terms of the greater scalability afforded in time and space with the quantum properties of superposition, entanglement, and interference. Quantum studies fields proliferate in arts and sciences, raising the Levi-Straussian raw-cooked dilemma of how “traditional humanities” are to be named alongside “digital humanities” and “quantum humanities.” Kant facilitates the conceptualization of quantum moreness by insisting on the dual nature of time as transcendentally ideal and empirically real. Kant’s moreness is allness, the absolute totality and multiplicity of time at the ideal level. Each faculty (sensibility, understanding, reason) has its own species of the a priori synthetic unity of ideal time that precedes and conditions the operation of the faculty. Each faculty also has a concretized formulation of empirically-real time as the time series, which is the basis for the faculties to interoperate to perform the conception of any empirical object. Kant’s achievement of time interoperability has potential extensibility to other areas of temporal incompatibility such as the scales of general relativity, Newtonian mechanics (human-scale), and quantum mechanics. The quantum moreness mindset with which Kant connects the ideal-real is visible in the domain of economics, itself too an ideal-real construction. The quantum moreness of money configures the postmodern abstraction of global cryptocurrencies and smart contract pledges, the implicative hope of which is a post-debt capital world that restores the human esprit in the face of an increasingly intense technologized reality.
Blockchain Crypto Jamming: Subverting the Instrumental Economy
The ultimate subversion is money, refusing the pecuniary resources of the state. This project applies a philosophical and critical theory lens to examine the use of nomenclature in one of the most radical longitudinal transformations in contemporary times, the shift away from state-run monetary resources towards cryptocurrencies and smart contracts in citizen-determined decentralized financial networks.
A Cryptoeconomic Theory of Social Change is presented in which linguistic progression serves as a tracking mechanism. The steps to lasting change have their own vocabulary (Brandom). First, there is the social critique, the complaint about what is wrong, the negative side (Adorno and Horkheimer highlight instrumental reason and the empty culture industry). Second, there is the antidote, an alternative that can overcome the complaint, the positive side. Third, the solution becomes the new reality, and as a consequence, the whole of reality is now seen in this context, adopting its vocabulary (“fiat health” system for example, referring to the antiquated method). The social movement graduates from language game (Wittgenstein) to form of life (Jaeggi).
Blockchains are Occupy with teeth, notable in the level of personal responsibility-taking by individuals to steward their own financial resources. The crypto citizen is not merely trading CryptoKitties and Bored Ape Yacht Club tokens, but getting blocktime loans through DeFi liquidity pools instead of fiat banks, earning labor income in crypto, and shifting all economic activity to blockchain networks. The artworld signals mainstream acceptance with Christie’s non-fungible token digital artwork auctioned from Beeple for $61 million. At the global level, coin communities constitute a new form of Kardashev-level (planetary-scale) democracy. Blockchains emerge as a robust smart network automation technology for super-class projects ranging from space-faring to quantum computing and thought-tokening. The further stakes of this work are having a language-based theory of social change with broad applicability to social transformation.
This work argues that the emerging understanding of time in quantum information science can be articulated as a philosophical theory of change. Change and time are interrelated, and one can be used to interrogate the other, namely, a theory of change can be derived from a theory of time. What is new in quantum science is time being regarded as just another property to be engineered. At the quantum scale, time is reversible in certain ways, which is quite different from the everyday experience of time whose unidirectional arrow does not allow a dropped egg to reassemble. At the quantum scale of atoms, though, a particle retains the history of its trajectory, which may be retraced before collapsed in measurement.
Quantum scientists evolve systems backward and forward in time, controlling phase transitions with Floquet engineering. Quantum systems are entangled in time and space, with temporal correlations exhibiting greater multiplicity than spatial correlations. The chaotic time regimes of ballistic spread followed by saturation are implemented in quantum walks for faster search and heightened cryptosecurity. In quantum neuroscience, seizure may be explained by chaotic dynamics and normal resting state by Floquet-like periodic cycles. Time is revealed to have the same kinds of repeating structures as space (described by entanglement, symmetry, and topology), differently instantiated and controlled.
The quantum understanding of time can be propelled into a macroscale-theory of change through its connotation of a more flexible, malleable, probabilistic interface with reality. Change becomes less rigid. Probability is the lever of change, but notoriously difficult for humans to grasp, as we think better in storylines than statistics. The idea of manipulating quantum system properties in which time, space, dynamics (change), are all just parameters, is an empowering frame for the acceptance of change. The quantum mindset affords greater facility with probability-driven events (change).
Blockchains in Space: Non-Euclidean Spacetime and Tokenized Thinking - Two requirements for the large-scale beyond-terrestrial expansion of human intelligence into the universe are the ability to operate in diverse spatiotemporal regimes and to instantiate thinking in various formats. Newtonian mechanics describe everyday reality, but Einsteinian physics is needed for GPS and the orbital technologies of telescopes and spacecraft. Space agencies already integrate the Earth-day and the slightly-longer Martian-sol. A more substantial move into space requires facility with non-Euclidean spacetimes. One challenge is that general relativity and quantum mechanics are non-interoperable. However, the theories can be formulated together when considering black holes and quantum computing since geometric theories and gauge theories are both field-based. Quantum blockchains instantiate blockchain logic in quantum computational environments. Blockchains have their own temporal regime (blocktime: the number of blocks for an event to occur), and hence quantum blocktime is a non-classical functionality for operating in diverse spatiotemporal regimes. Thinking is a rule-based activity that is unrestricted by medium. Central to thinking is concepts, which are referenced by words. Word-types include universals, particulars, and indexicals which can be encoded into a formal system as thought-tokens, and registered to blockchains. Blockchains are contemplated as an automation technology for asteroid mining and space settlement construction, and thought-tokening adds an intelligence layer. Time and tokenized thinking come together in the idea of smart networks in space. In blockchain quantum smart networks, spatiotemporal regimes and thought-tokens are simply different value types (asset classes) coordinated with blockchain logic, towards the aim of extending human capabilities into the farther reaches of space.
Cryptography, entanglement, and quantum blocktime: Quantum computing offers a more scalable energy-efficient platform than classical computing and supercomputing, and corresponds more naturally to the three-dimensional structure of atomic reality. Blockchains are a decentralized digital economic system made possible by the 24-7 global nature of the internet.
Quantum Neuroscience: CRISPR for Alzheimer’s, Connectomes & Quantum BCIsMelanie Swan
This talk provides an introduction to quantum computing and how it may be deployed to study the human brain and its diseases of pathology and aging. Refined to its present state over centuries, the brain is one of the most complex systems known, with 86 billion neurons and 242 trillion synapses connected in intricate patterns and rewired by synaptic plasticity. Research continues to illuminate the mysteries of the brain. Quantum computing provides a more capacious architecture with greater scalability and energy efficiency than current methods of classical computing and supercomputing, and more naturally corresponds to the three-dimensional structure of atomic reality. The vision for quantum neuroscience is to model the nature of the brain exactly as it is, in three-dimensional atomically-accurate representations. Neuroscience (particularly genetic disease modeling, connectomics, and synaptomics) could be the “killer application” of quantum computing. Implementations in other industries are also important, including in quantum finance, quantum cryptography using Shor’s factoring algorithm (“the Y2K of Crypto”), Grover’s search, quantum chemistry, eigensolvers, quantum machine learning, and continuous-time quantum walks. Quantum computing is a high-profile worldwide scientific endeavor with platforms currently available via cloud services (IBM Q 27-qubit, IonQ 32-qubit, Rigetti 19Q Acorn) and is in the process of being applied in various industries including computational neuroscience.
Art Theory: Two Cultures Synthesis of Art and ScienceMelanie Swan
Thesis: Aesthetic resources contribute broadly to the human endeavor of progress, self-understanding, and science, beyond the immediate experience of art. Aesthetic Resources are frameworks, concepts, and modes of expression in art, literature, and philosophy that capture the imagination and the intellect through the senses. The role of art is to inspire the future: the romance of the sea, the open road, space.
The arts are a hallmark of civilization, but can their benefit be crystallized as aesthetic resources that can be mobilized to new situations? How can aesthetic resources help in moments of crisis?
A worldwide social identity crisis has been provoked by pandemic recovery, politics, equity, and environmental sustainability. Philosophical and aesthetic resources can help. Understanding art as a reflection of who we are as individuals and groups, this talk explores conceptualizations of art, with examples, in different periodizations from the 1800s to the present. A marquis definition as to what constitutes an artwork is Adorno’s, for whom the work must promulgate its own natural law and engage in novel materials manipulation. For many theorists, art is the pressing of our self-concept into concrete materiality (whether pyramids, sculpture, or painting). What do contemporary periodizations of art mean to our current and forward-looking self-concept? Recent eras include the neo-avant-gardes of 1945, the conceptual art of the 1960s, and post-conceptual art starting in the 1970s, produced generatively with found materials, the digital domain, and audience interactivity. What is the now-current idea of art? Is today’s Baudelairian flâneur and Balzacian modern hero incarnated in the quantum aesthetic imaginary and the digital cryptocitizen? Far from an “end of art” thesis sometimes attributed to Hegel, aesthetic practices are more relevant than ever. Individually and societally, we are reinventing creative energy and productive imagination in venues from science, technology, health, and biology to the arts.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Prediction Markets
1. Collective Intelligence Live Prediction Markets Simulation Melanie Swan Principal MS Futures Group +1-650-681-9482 [email_address] www.melanieswan.com July 28, 2010 Slides: http://slideshare.net/LaBlogga Image: http://wall.alphacoders.com/ “ The future is something which every one reaches at the rate of sixty miles an hour, whatever he does, whoever he is.” - C. S. Lewis SU Prediction Market: https://gsp10.inklingmarkets.com SU Online Polling: http://www.rwpoll.com/