A general futurist look at how linear, exponential and discontinuous growth is shaping the future of technology and what may be expected in key areas such as hardware, software, semiconductors, artificial intelligence, nanotechnology, biotechnology, life extension and virtual worlds.
Audio: http://feeds.feedburner.com/BroaderPerspectivePodcast
Lee Rainie, director of Internet and Technology research at the Pew Research Center, gave the Holmes Distinguished Lecture at Colorado State University on April 13, 2018. He discussed the research the Center conducted with Elon University’s Imagining the Internet Center about the future of the internet and the way digital technologies will spread to become the “internet of everywhere” and “artificial intelligence” everywhere. He also explored the ways in which experts say this will create improvements in people’s lives and the new challenges – including privacy, digital divides, anti-social behavior and stress tests for how human social and political systems adapt.
What does the world look like in the year 2025? Digital living evangelist, Lindsay Smith, explores the communications and technology journey that has revolutionized the 21st century.
Are you ready for the changes that will come in this lifetime?
Lee Rainie, director of Internet and Technology research at the Pew Research Center, gave the Holmes Distinguished Lecture at Colorado State University on April 13, 2018. He discussed the research the Center conducted with Elon University’s Imagining the Internet Center about the future of the internet and the way digital technologies will spread to become the “internet of everywhere” and “artificial intelligence” everywhere. He also explored the ways in which experts say this will create improvements in people’s lives and the new challenges – including privacy, digital divides, anti-social behavior and stress tests for how human social and political systems adapt.
What does the world look like in the year 2025? Digital living evangelist, Lindsay Smith, explores the communications and technology journey that has revolutionized the 21st century.
Are you ready for the changes that will come in this lifetime?
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
What would your life be like without the internet? The majority of the world is unable to use the internet and smart phone technology effectively because of the language barrier. Now there is a solution available that will open up vast, untapped markets by being the first company to take advantage of Linguist Software's breakthrough technology to connect with the world. The translation capabilities of this tech advancement will make smart phones far more necessary than ever before. Find out more in this informational deck.
Is Artificial Intelligence (AI) A Threat To Humans?Bernard Marr
Should we be concerned that artificial intelligence (AI) is a threat to humans? While it certainly has the potential to be dangerous, if we do our homework, it doesn’t have to be according to Oxford University Professor Nick Bostrom and best-selling author of Superintelligence: Paths, Dangers, Strategies.
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
The metaverse is a concept of a persistent, online, 3D universe that combines multiple different virtual spaces. You can think of it as a future iteration of the internet. The metaverse will allow users to work, meet, game, and socialize together in these 3D spaces.
Is Artificial Intelligence Dangerous? 6 AI Risks Everyone Should Know AboutBernard Marr
Discussions about artificial intelligence often focus on its positive impacts for society while disregarding the more difficult and less-popular idea that AI could also potentially be dangerous. Just like any powerful tool, AI can be used for good and bad. Here are a few AI risks everyone should know about.
In this Presentation we see
What is Technology
why we use Technology
types of technology
history of technology
growth of technology
what is important role of technology in our life
advantages & disadvantage of technology
evolution of technology
Future Technology
feature of technology
what is the role of AI in this world..
Introducing the Artificial Intelligence to the world...
How the technology takes place in world to make the world better...
AI introduce the new world with the help of new technology...
Digital world Digital Networking..
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
What would your life be like without the internet? The majority of the world is unable to use the internet and smart phone technology effectively because of the language barrier. Now there is a solution available that will open up vast, untapped markets by being the first company to take advantage of Linguist Software's breakthrough technology to connect with the world. The translation capabilities of this tech advancement will make smart phones far more necessary than ever before. Find out more in this informational deck.
Is Artificial Intelligence (AI) A Threat To Humans?Bernard Marr
Should we be concerned that artificial intelligence (AI) is a threat to humans? While it certainly has the potential to be dangerous, if we do our homework, it doesn’t have to be according to Oxford University Professor Nick Bostrom and best-selling author of Superintelligence: Paths, Dangers, Strategies.
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
The metaverse is a concept of a persistent, online, 3D universe that combines multiple different virtual spaces. You can think of it as a future iteration of the internet. The metaverse will allow users to work, meet, game, and socialize together in these 3D spaces.
Is Artificial Intelligence Dangerous? 6 AI Risks Everyone Should Know AboutBernard Marr
Discussions about artificial intelligence often focus on its positive impacts for society while disregarding the more difficult and less-popular idea that AI could also potentially be dangerous. Just like any powerful tool, AI can be used for good and bad. Here are a few AI risks everyone should know about.
In this Presentation we see
What is Technology
why we use Technology
types of technology
history of technology
growth of technology
what is important role of technology in our life
advantages & disadvantage of technology
evolution of technology
Future Technology
feature of technology
what is the role of AI in this world..
Introducing the Artificial Intelligence to the world...
How the technology takes place in world to make the world better...
AI introduce the new world with the help of new technology...
Digital world Digital Networking..
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Future of Technology - Nov 2008 updateMelanie Swan
The status of key contemporary science and technology research areas that could potentially have an Internet-level impact and a guide to how we think about growth and change.
Future of Technology - Jan 2008 updateMelanie Swan
What will be the next Internet? 11 revolutionary technologies are shaping the future: molecular nanotechnology, biotechnology and personalized medicine, synthetic biology, life extension and anti-aging therapies, robotics, artificial intelligence, intelligence augmentation, virtual reality, fabbing, quantum computing and affordable space launch.
This is a January 2008 update to the similar October 2007 presentation.
Frameworks are needed to understand the meaning of simultaneous rapid technology change across fields. Eight frameworks are presented grouping technology advances by parameter, identifying overarching principles and concepts, evaluating constituent enablers and investigating how trajectories might intersect.
Opening talk at the "Interdisciplinary Data Resources to Address the Challenges of Urban Living” Workshop at the Urban Big Data Centre, University of Glasgow, 4 April 2016
Technical inovation in mechanical fieldKrishna Raj
ALL THE EXAMPLES OF RECENT INVENTION IN MECHANICAL FIELD .
BETTER DISCRIPTION WITH EXAMPLES AND THEIR IMAGES.
BEST EVER PPT OF TECHNICAL INOVATION IN MECHANICAL FIELD TOPIC.
U CAN EXPLORE IT
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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
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
-------------------------------------------
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
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Key Trends Shaping the Future of Infrastructure.pdf
Future Of Technology
1. The Future of Technology
Melanie Swan
Futurist
MS Futures Group
Palo Alto, CA
650-681-9482
m@melanieswan.com
http//www.melanieswan.com
Christine Peterson
Vice President and Founder
Foresight Nanotech Institute
Menlo Park, CA
650-289-0860
peterson@foresight.org
http://www.foresight.org
Liana Holmberg and Tess Chu
OS Wrangler & IP Gadfly and Developer
Linden Lab
San Francisco, CA
415-243-9000
liana@lindenlab.com
tess@lindenlab.com
http//www.lindenlab.com
2. The Future of Technology
October 2007
2
Summary
We think about growth and change in linear,
exponential and discontinuous paradigms,
history is a chain of discontinuities
The realm of technology is no longer discrete, technology is
imbuing traditional linear phenomena with exponential and
discontinuous change
Computation (hardware and software) overview: Moore’s Law
improvements will likely continue unabated in hardware; software
however is stuck
Not only will there be linear and exponential growth in the next 50
years but probably also discontinuous change, possibly a change
with greater impact than the Internet in our (current) lifetimes
3. The Future of Technology
October 2007
3
Paradigms of growth and change
Linear
Economic, demographic, biological phenomena
Exponential
Technology: processors, memory, storage,
communications, Internet communities
Discontinuous
Plane, car, radio, wars, radar, nuclear weapons,
satellites, computers, Internet, globalization
Impossible to predict
• Evaluate rapid transition time and doubling capability
• Market mechanisms
Exponential
Discontinuous
Linear
4. The Future of Technology
October 2007
4
The future depends on which coming revolution
occurs first
What will be the next Internet?
Artificial
Intelligence
Molecular
Nanotechnology
Anti-agingVirtual
Reality 2.0
Quantum
Computing
Robotics
Intelligence
Augmentation
Personal
Medicine
Affordable
Space LaunchFab
Labs
5. The Future of Technology
October 2007
5
Evolution of computation
Future of computing
New materials
3d circuits
Quantum computing
Molecular electronics
Optical computing
DNA computing
Electro-
mechanical
Relay Vacuum
tube
Transistor Integrated
circuit
?
Source: Ray Kurzweil, http://www.KurzweilAI.net/pps/ACC2005/
6. The Future of Technology
October 2007
6
Extensibility of Moore’s Law
Source: Ray Kurzweil, http://www.KurzweilAI.net/pps/ACC2005/
Transistors per microprocessor
Penryn
45 nm, 410-800m transistors
Core 2
65 nm, 291m transistors
7. The Future of Technology
October 2007
7
Current semiconductor advancements
Source: http://www.siliconvalleysleuth.com/2007/01/a_look_inside_i.html
Standard Silicon
Transistor
High-k + Metal Gate
Transistor
Historical semiconductors
65nm+
Intel Penryn 45nm chip,
shipping fall 2007
Metal
Gate
High-k
Insulator
Silicon substrate
DrainDrain SourceSource
Silicon substrate
SiO2
Insulator
8. The Future of Technology
October 2007
8
Semiconductor industry roadmap visibility
Source: http://download.intel.com/technology/silicon/Paolo_Semicon_West_071904.pdf
2007
32 nm in 2008, 22 nm in 2010
Molecular manufacturing needed for 10 nm
9. The Future of Technology
October 2007
9
Software remains challenging
Abstract, difficult to measure
Doubling each 6-10 years
Wirth’s law: “Software gets slower faster than
hardware gets faster”
Large complex projects (FAA, CIA) failure
19 m programmers worldwide in 20101
Solutions?
Distributed ecologies of software programmers
Open source vs. proprietary systems
Standards, reusable modules
Web-based software
• Aggregating collective intelligence (tagging, RSS,
presence), community platforms as the back end
(FB, LinkedIn, MySpace)
Software that programs software
1
Source: http://www.itfacts.biz/index.php?id=P8481
Lady Ada
Lovelace
10. The Future of Technology
October 2007
10
Arms race for the future of intelligence
Machine Human
Blue Gene/L 360 teraFLOPS (≈.36+ trillion
IPS) and 32 TiB memory1
Unlimited operational/build knowledge
Quick upgrade cycles: performance
capability doubling every 18 months
Linear, Von Neumann architecture
Understands rigid language
Special purpose solving (Deep Blue,
Chinook, ATMs, fraud detection)
Metal chassis, easy to backup
Estimated 2,000 trillion IPS and 1000
TB memory2
Limited operational/build knowledge
Slow upgrade cycles: 10,000 yr
evolutionary adaptations
Massively parallel architecture
Understands flexible, fuzzy language
General purpose problem solving,
works fine in new situations
Nucleotide chassis, no backup possible
1
Source: Fastest Supercomputer, June 2007, http://www.top500.org/system/7747
2
Source: http://paula.univ.gda.pl/~dokgrk/bre01.html
11. The Future of Technology
October 2007
11
Artificial intelligence: current status
Approaches
Symbolic, statistical, learning algorithms,
physical/mechanistic, hybrid
Current initiatives and funding
Narrow AI: DARPA, corporate
Strong AI: startup efforts
Near-term applications
Auditory: speech recognition
Visual: security camera (crowbar/gift)
Physical: buildings and transportation
Format
Robotic (Roomba, mower, vehicles)
Distributed physical presence
Non-corporeal
Kismet
Stanley
12. The Future of Technology
October 2007
12
Molecular nanotechnology
Definition: not work at the nano
scale or with atoms in 2D but
3D molecular placement in
atomically correct structures
Scale
Human hair: 80,000 nm
Limit of human vision: 10,000 nm
Virus: 50 nm, DNA: 2 nm
Microscopy tools
Sources: http://www.imm.org, http://www.foresight.org,
http://www.e-drexler.org, http://www.rfreitas.com
13. The Future of Technology
October 2007
13
Personal fab labs and 3D printing
Community fabs, o/s designs
MIT Fab Labs
Make, TechShop (Menlo Park)
3d printing
Fab@Home, RepRap, Evil
Personal manufacturing
Ponoko (platform)
Fabjectory
http://reprap.org
http://fab.cba.mit.edu/about
MIT Fab Labs
3D printed
plastic avatars
http://www.fabathome.org
Fab@Home
RepRap
Evil Labs
http://www.evilmadscientist.com/
14. The Future of Technology
October 2007
14
Biotechnology, hacking biology
Biology: an information science
Genomics, proteomics,
metabolomics
Faster than Moore’s Law
Sequencing and synthesizing
X Prize for Genomics
• $10M to sequence 100 human
genomes in 10 days
Personalized medicine
RNAi, protein folding
Cure vs. enhancement
Sources: http://www.economist.com/background/displaystory.cfm?story_id=7854314,
http://www.molsci.org/%7Ercarlson/Carlson_Pace_and_Prolif.pdf
15. The Future of Technology
October 2007
15
Anti-aging, life extension and immortality
Aging is a pathology
Immortality is not hubristic and unnatural
Aubrey de Grey
Strategies for Engineered Negligible
Senescence (SENS) and escape velocity
1. Cancer-causing nuclear mutations
2. Mitochondrial mutations
3. Intracellular junk
4. Extracellular junk
5. Cell loss
6. Cell senescence
7. Extracellular crosslinks
Life expectancy test
http://gosset.wharton.upenn.edu/mortality/perl/CalcForm.html
0
10
20
30
40
50
60
70
80
90
1850 1900 1950 2000 2050
U.S. Life Expectancy, 1850 – 2050e
83
77
69
50
39
http://www.methuselahmouse.org/
Research to repair and
reverse the damage of aging
The Methuselah Foundation
Source: http://www.infoplease.com/ipa/A0005140.html
Source: http://earthtrends.wri.org/text/population-health/variable-379.html
16. The Future of Technology
October 2007
16
Human body 2.0, 3.0
Redesign: the digestive system is rebuilt
Auto-nourishment via clothing
Nanobots go in and out of the skin cycling nutrients and waste
Digestive system and blood based nanobots supply precise nutrients
Eating becomes like sex, no biological impact, just for fun
Redesign: the heart is optional
Obsolete organs, heart, lungs, blood; nanobots delivering oxygen to
the cells, don’t require liquid-based medium
Two systems left
Upper esophagus, mouth and brain
Skin, muscle, skeleton and their parts of the nervous system
Sources: Ray Kurzweil, The Singularity is Near, http://lifeboat.com/ex/human.body.version.2.0
17. The Future of Technology
October 2007
17
Virtual worlds, 3D and simulation
Increasing demand for streaming video, data visualization
and 3D data display: learning, work and play
Simulation and augmented reality
Increasingly detailed capture of reality
Geospatialization: Google Earth, Nasa World Wind
Life capture, life logging
Virtual worlds explosion
MMORPG video games and interactive worlds
Participants: enterprise, education, government
Activities: interacting, collaborating, prototyping
Virtual reality 2.0: biofeedback, touch, taste, smell
Wild Divine
18. The Future of Technology
October 2007
18
Affordable space launch
Commercial payload launch
Space elevator
Sub-orbital human flight
Spaceport development
Extra-orbital robotic missions
International participation
Agency partnership
Prizes stimulate development
Peggy Whitson Pam Melroy
19. The Future of Technology
October 2007
19
The future depends on which coming revolution
occurs first
What will be the next Internet?
Artificial
Intelligence
Molecular
Nanotechnology
Anti-agingVirtual
Reality 2.0
Quantum
Computing
Robotics
Intelligence
Augmentation
Personal
Medicine
Affordable
Space LaunchFab
Labs
20. The Future of Technology
October 2007
20
Summary
We think about growth and change in linear,
exponential and discontinuous paradigms,
history is a chain of discontinuities
The realm of technology is no longer discrete, technology is
imbuing traditional linear phenomena with exponential and
discontinuous change
Computation (hardware and software) overview: Moore’s Law
improvements will likely continue unabated in hardware; software
however is stuck
Not only will there be linear and exponential growth in the next 50
years but probably also discontinuous change, possibly a change
with greater impact than the Internet in our (current) lifetimes
21. Thank you
Melanie Swan
Futurist
MS Futures Group
Palo Alto, CA
m@melanieswan.com
http//www.melanieswan.com
Slides: http//www.melanieswan.com/presentations
Provided under an open source Creative Commons 3.0 license
http://creativecommons.org/licenses/by-nc-sa/3.0/
22. The Future of Technology
Melanie Swan
Futurist
MS Futures Group
Palo Alto, CA
650-681-9482
m@melanieswan.com
http//www.melanieswan.com
Christine Peterson
Vice President and Founder
Foresight Nanotech Institute
Menlo Park, CA
650-289-0860
peterson@foresight.org
http://www.foresight.org
Liana Holmberg and Tess Chu
OS Wrangler & IP Gadfly and Developer
Linden Lab
San Francisco, CA
415-243-9000
liana@lindenlab.com
tess@lindenlab.com
http//www.lindenlab.com
Editor's Notes
51, 51, 153
Moore’s Law improvements will likely continue unabated in hardware, even with substrate changes
How the Internet has changed everything example: Efficiency – economics shifting – more resource allocation by market mechanism than by pecking order
Tech & comms = exponential/acc chg – for ex: Internet traffic in a new exponentiation with video traffic – YouTube = 7% Comcast traffic
The next mainstream
Challenge b/c we can see several possible discontinuities but right now it is hard to predict which will occur first…
Also whatever revolution happens first changes a) everything and b) the path to further discontinuities including obviation
Convergence
Perhaps at no time have we had so many possible coming revolutions – Catch 22 tautology – by definition discontinuous change cannot be predicted, so perhaps the next Internet-like revolution will not be one of these things at all, or maybe it will be some part of these areas that we aren’t able to think about now, ex: at some point cars/computers were predicted, but not for mass everyday use – quantum computing now seems like a gov’t encryption preserve – we aren’t thinking of the wristwatch model or human embedded possibilities
VR: phermones, culture and communication occurs at increasing levels of abstraction: desktop/files; 100 IM windows, video gaming, VR worlds, younger generations find less need for true physical presence
Nanomedicine – several diseases involve molecular damage inside the cell, such as from free radicals and radiation. Osteoporosis involves calcium loss from bones and is likely treatable by placing chemical and electrical props at the right places in the body
Nanotech (molecular mfg atomically correct from bottom up)
Nano – pathways biotech, high precision machining, chemical synthesis
Many imply a substantial shift in economics: robotics, AI, nano-mfg
Whatever the next Internet or coming revolutions are going to be, they are going to be computation-dependent
Next, let’s look at an overview of the current status of computation - HW and SW since this is driving realization of all other technology
Information Technologies (of all kinds) double their power (price performance, capacity, bandwidth) each 1-2 years
Do we need the exponentially growing hw power? Yes MRO mars reconnaissance orbiter sends back more than 1 TB / week, hi res photos, more than most planetary missions in whole life
Visualization
Zillionics (kevin kelly) massive info avail; changing science previously hypoth: measurement, now tons of meas.
ST: persistence of ICs with new materials, molecular mfg and 3d circuits
LT: quantum computers, Analog Quantum computers introduction in 2007 from Dwave Systems. In ten years, possibly quantum computers with multiple thousands to millions of qubits.
QC: lots of govt and corporate sponsored research, conferences, papers, activity, early commercialization – ROADMAP
Managing Moore’s Law limitations: Penryn definition changes, 3D molecular ICs;
9/18/07 – Moore says only 10 years left…implicit: in current paradigm
Otellini: http://www.internetnews.com/ent-news/article.php/3700336
Gate closed is 0, current doesn’t flow through
Intel’s move to 45nm process technology for its Core microarchitecture Penryn, made possible with the use of high-k and metal transistors
"the biggest change in transistor technology since the introduction of polysilicon gate MOS transistors in the late 1960s."
The new breakthrough involves the use of hafnium, an unstable silvery metallic element chemically related to zirconium. It is currently used mostly for control rods in nuclear reactors. Hafnium is far denser than silicon and can be etched to even greater degrees of precision, meaning chips can be made still more dense and more powerful.
Trend: graphics built onto the chip, not separately, enables the gaming and 3d simulation and virtual worlds
Nehalem, which will succeed Intel's Core microprocessor architecture, will have up to eight cores and each core will be able to process two threads simultaneously, giving each processor the capacity to process up to 16 threads at the same time.
http://www.internetnews.com/ent-news/article.php/3700336
Looking even farther down the road, Otellini said Intel will begin production using 32-nanometer process technology in 2009. He proudly showed attendees what he called the world's first 32-nanometer product, a 291-megabit array die with more than 1.9 billion transistors.
"This gives us the confidence to build a mainstream microprocessor in two years on this technology," he said, adding that 32-nanometer products will be designed using the second generation of its high-k metal gate transistor technology which replaces silicon dioxide with hafnium as an insulator to produce faster and more energy-efficient chips.
For a seemingly advanced society, we have not been doing a good job on SW
Diversity of claims regarding improvement
Large project failure
No reusable modules (like building and construction industry)
Open source ability to maintain and extend dominance over proprietary standards
Ada Lovelace is popularly credited as history's first programmer. She was the first to express an algorithm intended for implementation on a computer, Charles Babbage’s analytical engine, in Oct 1842
A SW PROB: Need qqch re: the internal mechanism building new concepts, new machinery and new skills to create new understanding
AI/human will be equivalent; transfer our software from meat-based processor to more capacious hardware
Some assumptions in the calcs; also since not 100% human brain focused on any task, only need 1/1000 the capacity to simulate which we do have
Important point is that the HW is not there yet; SW lagging even farther behind but with another few cycles could have adequate simulation power
Most think ~2015; ccortex
The 360-teraFLOPS machine handles many challenging scientific simulations, including ab initio molecular dynamics; three-dimensional (3D) dislocation dynamics; and turbulence, shock, and instability phenomena in hydrodynamics. It is also a computational science research machine for evaluating advanced computer architectures.
Will we have intelligent machines that can solve any problem or will we hack the brain to improve human intell; prob combo both
intelligent agent is a system that perceives its environment and takes actions which maximizes its chances of success
Applications: pattern recognition, robotics
Problems: the lack of raw computer power, the intractable combinatorial explosion of algorithms, the difficulty of representing commonsense knowledge and doing commonsense reasoning, the incredible difficulty of perception and motion and the failings of logic.
Definition: not conducting work at nanoscale or even 2d atom placing, 3d molecular/atomic specific placement from the bottom up; manipulating atoms as we do bits
Water bridge: http://www.physorg.com/news110191847.html
Manipulating atoms as we do bits: Discrete entities handled rapidly with digital control to reliably form new patterns
Molecule, Atom? Atomic precision about one angstrom, 1/10 nm
Molecular mill: www.e-drexler.com/p/04/04/0512molMills.html
Lots of plastic 3-d printing at the moment
Public health improves or degrades?
Consumerism increases/decreases; matter as entertainment; period decorations and events; SL b/c RL
Regulation re: production of weapons, disease, genetic material, etc.
Personalized medicine is the use of detailed information about a patient's genotype or level of gene expression and a patient's clinical data in order to select a medication, therapy or preventative measure that is particularly suited to that patient
Hall: Patching up/fixing genetic deficiency vs. augmentation, the same thing depending on where you are on the scale of human variation; Intelligence, ‘beauty’/symmetry, height; Susceptibility to sunburn; Oxygen in cells: anemic vs. super-athletic capability. Enhancement rationale matters? (e.g.; help Mt. Everest rescue workers (respirocytes) vs. beauty (vanity)
Digital People: from Bionic humans to androids by Sidney Perkowitz 2004 - 10%? Americans are augmented w. non-biological machinery embedded – terminology: cyborg/robosapien (scary) or pacemaker, diabetic pump, hip replacement, corneal implant, hearing aid, cochlear implant, prosthetic limbs, etc.
Augmenting intelligence-it’s a wonder what paper & pencil will do for multiplying 10 digit numbers
Human life is arbitrarily limited at present
bioMEMS blood-borne devices that deliver hormones such as insulin have been demonstrated in animals
Dr. Ron Kahn, Joslin Diabetes Center, id the fat insulin receptor (FIR) gene – controls accumulation of fat by the fat cells
Increasing demand for data display visually and in 3D, already seen in ubiquity of streaming video
3rd annual American Cancer Society Relay For Life - $90,000 raised – 40 teams
Video games (9m World of Warcraft players), Second Life (9 million residents 40,000 concurrency, $1m daily economy)
Science 2.0 – simulation replaces experiment, hypothesis post-facto
BCI – brain computer interface with SL; headpiece with electrodes sensing motor cortex movement; think about walking
Geospatialization of data, Google earth KML, nasa world view, VIS demand; aug reality
Virtual reality 2.0: more immersive, incorporating biofeedback, touch, taste, smell
Spaceport America (near Las Cruces NM, 2008-2010 construction), UAE
Earth is just an 8000 mi wide space ship with 10,000 feet of life support; get out of diapers and colonize other parts of spaces
X Prize Foundation announcing automotive prize in early 2008; clean fuel car that can reach 100 mpg
Elevator climbing (power beaming) & tether strength competition– used to have the cranes for tether climbing at the air show, but 400 foot crane not a good idea…
Virgin Galactic has sold 100 of its $200,000 sub-orbital flight slots
NASA says they spend $6,000 per pound but other estimates suggest real cost is $20,000-$35,000/pound, needs to be about $500/pound
NASA Centennial Challenges
The next mainstream
Challenge b/c we can see several possible discontinuities but right now it is hard to predict which will occur first…
Also whatever revolution happens first changes a) everything and b) the path to further discontinuities including obviation
Convergence
Perhaps at no time have we had so many possible coming revolutions – Catch 22 tautology – by definition discontinuous change cannot be predicted, so perhaps the next Internet-like revolution will not be one of these things at all, or maybe it will be some part of these areas that we aren’t able to think about now, ex: at some point cars/computers were predicted, but not for mass everyday use – quantum computing now seems like a gov’t encryption preserve – we aren’t thinking of the wristwatch model or human embedded possibilities
VR: phermpnes, culture and communication occurs at increasing levels of abstraction: desktop/files; 100 IM windows, video gaming, VR worlds, younger generations find less need for true physical presence
Nanomedicine – several diseases involve molecular damage inside the cell, such as from free radicals and radiation. Osteoporosis involves calcium loss from bones and is likely treatable by placing chemical and electrical props at the right places in the body
Nanotech (molecular mfg atomically correct from bottom up)
Nano – pathways biotech, high precision machining, chemical synthesis
Many imply a substantial shift in economics: robotics, AI, nano-mfg
Moore’s Law improvements will likely continue unabated in hardware, even with substrate changes