Vitalik Buterin | Crypto Cities
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Vitalik Buterin | Crypto Cities In this whitepper, Vitalik outlines some concepts for how a new model of a city running on a blockchain, empoowers the community to essentially self-govern. Everyone can vote on the blockchain, decisions are made as a collective on where to put monies to use, and work outside the community not unlike a centralized DAO (an oxymoron, but it is the proposal herein). This is not science fiction. Thanks to a new law in Wisconsin that permits these types of collectives, or communities, etc., the radical (?), or rather, evolutionary step for this has already begun; and not just in Wisconsin, but Miami is a key location as well.
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Resume: Alejandro Franceschi
Emmy-awarded producer, director, and senior technologist with experience in startups, education, TV, VFX, and Fortune 500 companies. Lumiere-awarded storyteller specializing in AR and VR. Excel in creative partnerships, leading teams, and delivering high-quality content for brands, products, and visions. For a comprehensive review of my roles, with media, including technology research, analysis, and forecasting, please visit my LinkedIn profile.
State of AI, 2019
"State of AI, 2019," from MMC Ventures, in partnership with Barclays.
The State of AI 2019: Divergence
As Artificial Intelligence (AI) proliferates, a divide is emerging. Between nations and
within industries, winners and losers are emerging in the race for adoption, the war
for talent and the competition for value creation.
The landscape for entrepreneurs is also changing. Europe’s ecosystem of 1,600 AI
startups is maturing and bringing creative destruction to new industries. While the
UK is the powerhouse of European AI, hubs in Germany and France are thriving and
may extend their influence in the decade ahead.
As new AI hardware and software make the impossible inevitable, we also face
divergent futures. AI offers profound benefits but poses significant risks. Which
future will we choose?
Our State of AI report for 2019 empowers entrepreneurs, corporate executives,
investors and policy-makers. While jargon-free, our Report draws on unique data
and 400 discussions with ecosystem participants to go beyond the hype and explain
the reality of AI today, what is to come and how to take advantage. Every chapter
includes actionable recommendations.
PwC | AI Analysis, Sizing the Prize
Artificial intelligence (AI) is a source of both huge excitement
and apprehension. What are the real opportunities and threats
for your business? Drawing on a detailed analysis of the business
impact of AI, we identify the most valuable commercial opening in
your market and how to take advantage of them.
Meta: Four Predictions for the Future of Work
Meta: Four Predictions for the Future of Work
Discover the trends shaping the future of hybrid working and work in the metaverse, and how they’ll redefine inclusion in the workplace. We spoke to 2,000 employees and 400 business leaders in the US and UK to understand the impact.
A Path Towards Autonomous Machines
How could machines learn as eciently as humans and animals? How could machines
learn to reason and plan? How could machines learn representations of percepts
and action plans at multiple levels of abstraction, enabling them to reason, predict,
and plan at multiple time horizons? This position paper proposes an architecture and
training paradigms with which to construct autonomous intelligent agents. It combines
concepts such as con gurable predictive world model, behavior driven through intrinsic
motivation, and hierarchical joint embedding architectures trained with self-supervised
learning.
This document is not a technical nor scholarly paper in the traditional sense, but a position
paper expressing my vision for a path towards intelligent machines that learn more like
animals and humans, that can reason and plan, and whose behavior is driven by intrinsic
objectives, rather than by hard-wired programs, external supervision, or external rewards.
Many ideas described in this paper (almost all of them) have been formulated by many
authors in various contexts in various form. The present piece does not claim priority for
any of them but presents a proposal for how to assemble them into a consistent whole. In
particular, the piece pinpoints the challenges ahead. It also lists a number of avenues that
are likely or unlikely to succeed.
The text is written with as little jargon as possible, and using as little mathematical
prior knowledge as possible, so as to appeal to readers with a wide variety of backgrounds
including neuroscience, cognitive science, and philosophy, in addition to machine learning,
robotics, and other fields of engineering. I hope that this piece will help contextualize some
of the research in AI whose relevance is sometimes difficult to see.
Google | Infinite Nature Zero Whitepaper
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images
Abstract. We present a method for learning to generate unbounded flythrough videos of natural scenes starting from a single view, where this capability is learned from a collection of single photographs, without requiring camera poses or even multiple views of each scene. To achieve this, we propose a novel self-supervised view generation training paradigm, where we sample and rendering virtual camera trajectories, including cyclic ones, allowing our model to learn stable view generation from a collection of single views. At test time, despite never seeing a video during training, our approach can take a single image and generate long camera trajectories comprised of hundreds of new views with realistic and diverse contents. We compare our approach with recent state-of-the-art supervised view generation methods that require posed multi-view videos and demonstrate superior performance and synthesis quality.
Dialing up the danger: Virtual reality for the simulation of risk
There is a growing interest the use of virtual reality (VR) to simulate unsafe spaces, scenarios, and behaviours. Environments that might be difficult, costly, dangerous, or ethically contentious to achieve in real life can be created in virtual environments designed to give participants a convincing experience of “being there.” There is little consensus in the academic community about the impact of simulating risky content in virtual reality, and a scarcity of evidence to support the various hypotheses which range from VR being a safe place to rehearse challenging scenarios to calls for such content creation to be halted for fear of irreversible harm to users. Perspectives split along disciplinary lines, with competing ideas emerging from cultural studies and games studies, from psychology and neuroscience, and with industry reports championing the efficacy of these tools for information retention, time efficiency and cost, with little equivalence in information available regarding impact on the wellbeing of participants. In this study we use thematic analysis and close reading language analysis to investigate the way in which participants in a VR training scenario respond to, encode and relay their own experiences. We find that participants overall demonstrate high levels of “perceptual proximity” to the experience, recounting it as something that happened to them directly and personally. We discuss the impact of particular affordances of VR, as well as a participant’s prior experience on the impact of high-stress simulations. Finally, we consider the ethical mandate for training providers to mitigate the risk of traumatizing or re-traumatizing participants when creating high-risk virtual scenarios.
Value Creation in the Metaverse
- The metaverse is still being defined but has the potential to be the next iteration of the internet by seamlessly combining digital and physical lives through immersion, interactivity, and use cases beyond gaming.
- Large technology companies, venture capital, private equity, start-ups, and brands have already invested over $120 billion in the metaverse in 2022 alone, driven by expectations of its economic impact and opportunities.
- The metaverse's potential economic impact is estimated to reach up to $5 trillion by 2030, generating new business models and engagement channels across industries like e-commerce, education, healthcare, and more.
Recommended
Resume: Alejandro Franceschi
Emmy-awarded producer, director, and senior technologist with experience in startups, education, TV, VFX, and Fortune 500 companies. Lumiere-awarded storyteller specializing in AR and VR. Excel in creative partnerships, leading teams, and delivering high-quality content for brands, products, and visions. For a comprehensive review of my roles, with media, including technology research, analysis, and forecasting, please visit my LinkedIn profile.
State of AI, 2019
"State of AI, 2019," from MMC Ventures, in partnership with Barclays.
The State of AI 2019: Divergence
As Artificial Intelligence (AI) proliferates, a divide is emerging. Between nations and
within industries, winners and losers are emerging in the race for adoption, the war
for talent and the competition for value creation.
The landscape for entrepreneurs is also changing. Europe’s ecosystem of 1,600 AI
startups is maturing and bringing creative destruction to new industries. While the
UK is the powerhouse of European AI, hubs in Germany and France are thriving and
may extend their influence in the decade ahead.
As new AI hardware and software make the impossible inevitable, we also face
divergent futures. AI offers profound benefits but poses significant risks. Which
future will we choose?
Our State of AI report for 2019 empowers entrepreneurs, corporate executives,
investors and policy-makers. While jargon-free, our Report draws on unique data
and 400 discussions with ecosystem participants to go beyond the hype and explain
the reality of AI today, what is to come and how to take advantage. Every chapter
includes actionable recommendations.
PwC | AI Analysis, Sizing the Prize
Artificial intelligence (AI) is a source of both huge excitement
and apprehension. What are the real opportunities and threats
for your business? Drawing on a detailed analysis of the business
impact of AI, we identify the most valuable commercial opening in
your market and how to take advantage of them.
Meta: Four Predictions for the Future of Work
Meta: Four Predictions for the Future of Work
Discover the trends shaping the future of hybrid working and work in the metaverse, and how they’ll redefine inclusion in the workplace. We spoke to 2,000 employees and 400 business leaders in the US and UK to understand the impact.
A Path Towards Autonomous Machines
How could machines learn as eciently as humans and animals? How could machines
learn to reason and plan? How could machines learn representations of percepts
and action plans at multiple levels of abstraction, enabling them to reason, predict,
and plan at multiple time horizons? This position paper proposes an architecture and
training paradigms with which to construct autonomous intelligent agents. It combines
concepts such as con gurable predictive world model, behavior driven through intrinsic
motivation, and hierarchical joint embedding architectures trained with self-supervised
learning.
This document is not a technical nor scholarly paper in the traditional sense, but a position
paper expressing my vision for a path towards intelligent machines that learn more like
animals and humans, that can reason and plan, and whose behavior is driven by intrinsic
objectives, rather than by hard-wired programs, external supervision, or external rewards.
Many ideas described in this paper (almost all of them) have been formulated by many
authors in various contexts in various form. The present piece does not claim priority for
any of them but presents a proposal for how to assemble them into a consistent whole. In
particular, the piece pinpoints the challenges ahead. It also lists a number of avenues that
are likely or unlikely to succeed.
The text is written with as little jargon as possible, and using as little mathematical
prior knowledge as possible, so as to appeal to readers with a wide variety of backgrounds
including neuroscience, cognitive science, and philosophy, in addition to machine learning,
robotics, and other fields of engineering. I hope that this piece will help contextualize some
of the research in AI whose relevance is sometimes difficult to see.
Google | Infinite Nature Zero Whitepaper
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images
Abstract. We present a method for learning to generate unbounded flythrough videos of natural scenes starting from a single view, where this capability is learned from a collection of single photographs, without requiring camera poses or even multiple views of each scene. To achieve this, we propose a novel self-supervised view generation training paradigm, where we sample and rendering virtual camera trajectories, including cyclic ones, allowing our model to learn stable view generation from a collection of single views. At test time, despite never seeing a video during training, our approach can take a single image and generate long camera trajectories comprised of hundreds of new views with realistic and diverse contents. We compare our approach with recent state-of-the-art supervised view generation methods that require posed multi-view videos and demonstrate superior performance and synthesis quality.
Dialing up the danger: Virtual reality for the simulation of risk
There is a growing interest the use of virtual reality (VR) to simulate unsafe spaces, scenarios, and behaviours. Environments that might be difficult, costly, dangerous, or ethically contentious to achieve in real life can be created in virtual environments designed to give participants a convincing experience of “being there.” There is little consensus in the academic community about the impact of simulating risky content in virtual reality, and a scarcity of evidence to support the various hypotheses which range from VR being a safe place to rehearse challenging scenarios to calls for such content creation to be halted for fear of irreversible harm to users. Perspectives split along disciplinary lines, with competing ideas emerging from cultural studies and games studies, from psychology and neuroscience, and with industry reports championing the efficacy of these tools for information retention, time efficiency and cost, with little equivalence in information available regarding impact on the wellbeing of participants. In this study we use thematic analysis and close reading language analysis to investigate the way in which participants in a VR training scenario respond to, encode and relay their own experiences. We find that participants overall demonstrate high levels of “perceptual proximity” to the experience, recounting it as something that happened to them directly and personally. We discuss the impact of particular affordances of VR, as well as a participant’s prior experience on the impact of high-stress simulations. Finally, we consider the ethical mandate for training providers to mitigate the risk of traumatizing or re-traumatizing participants when creating high-risk virtual scenarios.
Value Creation in the Metaverse
- The metaverse is still being defined but has the potential to be the next iteration of the internet by seamlessly combining digital and physical lives through immersion, interactivity, and use cases beyond gaming.
- Large technology companies, venture capital, private equity, start-ups, and brands have already invested over $120 billion in the metaverse in 2022 alone, driven by expectations of its economic impact and opportunities.
- The metaverse's potential economic impact is estimated to reach up to $5 trillion by 2030, generating new business models and engagement channels across industries like e-commerce, education, healthcare, and more.
Bank of England Staff Working Paper No 605 The Macroeconomics of Central Bank...
Bank of England Staff Working Paper No 605 The Macroeconomics of Central Bank...Alejandro Franceschi
Bank of England Staff Working Paper No 605 The Macroeconomics of Central Bank Issued Digital Currencies (CBDC).
A study on the macroeconomic consequences of issuing a central bank digital currency (CBDC) - a universally accessible and interest-bearing central bank liability, implemented via distributed ledgers, that competes with bank deposits as a medium of exchange. Some summary results are: a possible rise in GDP by 3%, reductions in real interest rates, distortionary taxes, and monetary transaction costs. As a second monetary policy instrument, which could substantially improve the central bank's ability to stabilize the business cycle.
CITIBANK | METAVERSE AND MONEY
THE METAVERSE IS POTENTIALLY AN $8 TRILLION TO $13 TRILLION OPPORTUNITY (Citibank):
We believe the Metaverse may be the next generation of the
internet — combining the physical and digital world in a persistent
and immersive manner — and not purely a Virtual Reality world.
A device-agnostic Metaverse accessible via PCs, game consoles, and
smartphones could result in a very large ecosystem. Based on our
definition, we estimate the total addressable market for the Metaverse
economy could grow to between $8 trillion and $13 trillion by 2030.
METAVERSE USE CASES:
Gaming is viewed as a key Metaverse use case for the next several years due to the immersive and multi-player
experience of the space currently. But we believe that the Metaverse will eventually help us find new enhanced ways to
do all of our current activities, including commerce, entertainment and media, education and training, manufacturing and
enterprise in general. Enterprise use cases of the Metaverse in the coming years will likely include internal collaboration,
client contact, sales and marketing, advertising, events and conferences, engineering and design, and workforce train
METAVERSE INFRASTRUCTURE BUILDING:
the current state, the internet infrastructure is unsuitable for building a fully-immersive content streaming Metaverse
environment, that enables users to go seamlessly from one experience to another. To make the vision of Metaverse a reality, we
expect significant investment in a confluence of technology. Low latency — the time it takes a data signal to travel from one point
on the internet to another point and then come back — is critical to building a more realistic user experience.
MONEY IN THE METAVERSE:
We expect the next generation of the internet, i.e., the Metaverse, would encapsulate a range of form factors of money, including
the existing/traditional forms of money and also upcoming/digitally-native forms — cryptocurrency, stablecoins, central bank
digital currencies (CBDCs) — that were out of scope in a pre-blockchain virtual world
This document is the copyright of its respective holders. It is freely available on the Internet to anyone who searches for it independently. It is provided here under the "Fair Use Doctrine of U.S. Copyright Law."
Mixed Reality: Pose Aware Object Replacement for Alternate Realities
This document explains how the technology involved, can semantically replace moving objects, humans, and other such visual input, and transform it, using mixed reality, into whatever the viewer would prefer the real world looks like instead.
From videogames to movies, to education, healthcare, commerce, communications, and industrial solutions, this will radically change the way we interact with the world, with others, and ourselves.
Academy Software Foundation on MaterialX | SIGGRAPH 2021
MaterialX has been integrated into MayaUSD and ArnoldUSD in the following ways:
- MaterialX definitions can be imported and exported from MayaUSD to enable interoperability via UsdShade and the MaterialX Preview Surface.
- The standard MaterialX shader generator is used to visualize MaterialX materials directly in Maya's viewport without translation, leveraging the same GLSL code generator as hdStorm.
- A plugin architecture allows custom MaterialX to Preview Surface translations to be defined and used for import and export between DCC tools and renderers.
Google Research Siggraph Whitepaper | Total Relighting: Learning to Relight P...
Google Research Siggraph Whitepaper | Total Relighting: Learning to Relight P...Alejandro Franceschi
Google Research Siggraph Whitepaper | Total Relighting: Learning to Relight Portraits for Background Replacement
Abstract:
Given a portrait and an arbitrary high dynamic range lighting environment, our framework uses machine learning to composite the subject into a new scene, while accurately modeling their appearance in the target illumination condition. We estimate a high quality alpha matte, foreground element, albedo map, and surface normals, and we propose a novel, per-pixel lighting representation within a deep learning framework.Intel, Intelligent Systems Lab: Syable View Synthesis Whitepaper
Intel, Intelligent Systems Lab:
Stable View Synthesis Whitepaper
We present Stable View Synthesis (SVS). Given a set
of source images depicting a scene from freely distributed
viewpoints, SVS synthesizes new views of the scene. The
method operates on a geometric scaffold computed via
structure-from-motion and multi-view stereo. Each point
on this 3D scaffold is associated with view rays and corresponding feature vectors that encode the appearance of
this point in the input images.
The core of SVS is view dependent on-surface feature aggregation, in which directional feature vectors at each 3D point are processed to produce a new feature vector for a ray that maps this point into the new target view.
The target view is then rendered by a convolutional network from a tensor of features synthesized in this way for all pixels. The method is composed of differentiable modules and is trained end-to-end. It supports spatially-varying view-dependent importance weighting and feature transformation of source images at each point; spatial and temporal stability due to the smooth dependence of on-surface feature aggregation on the target view; and synthesis of view-dependent effects such as specular reflection.
Experimental results demonstrate that SVS outperforms state-of-the-art view synthesis methods both quantitatively and qualitatively on three diverse realworld datasets, achieving unprecedented levels of realism in free-viewpoint video of challenging large-scale scenes.
PWC: Why we believe VR/AR will boost global GDP by $1.5 trillion
VR and AR have the potential to boost the global economy by $1.5 trillion by 2030. The document discusses how these technologies can transform business in areas like product development, training, process improvements, healthcare and retail. It provides examples of how different industries like automotive, energy, and healthcare are already using VR and AR to improve efficiency and customer experiences. The technologies are maturing and will be further enabled by 5G networks, with AR expected to have a bigger economic impact than VR through 2030. For businesses to fully realize the value, they need to address cultural concerns and privacy/security issues around the technologies.
U.K. Immersive Tech: VC Report, 2021
This document provides an overview of 10 UK immersive technology companies that have raised significant funding. It discusses Anything World, a platform for creating 3D worlds using voice controls and AI; Bodyswaps, a VR platform for soft skills training that has worked with organizations like Save the Children; and Anthropic, an AI safety startup that has raised $50 million and works on techniques like constitutional AI. The document highlights the companies' technologies, customers, fundraising journeys, and growth opportunities in areas like enterprise training as immersive tech adoption increases.
Intel ILS: Enhancing Photorealism Enhancement
1. The document presents an approach to enhance the realism of synthetic images rendered by game engines. A convolutional network is trained to modify rendered images using intermediate representations from the rendering process.
2. The network is trained with an adversarial objective to provide strong supervision at multiple perceptual levels. A new strategy is proposed for sampling image patches during training to address differences in scene layout distributions between datasets.
3. The approach significantly enhances photorealism over recent image-to-image translation methods and baselines, as shown in controlled experiments. It can add realistic details like gloss, vegetation, and road textures while keeping enhancements consistent with the input image content.
Artificial Intelligence Index Report, 2021
Stanford University: Artificial Intelligence Index Report, 2021
The AI Index is an effort to track, collate, distill and visualize data relating to artificial intelligence. It aspires to be a comprehensive resource of data and analysis for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI.
Source: https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf
HAI Industry Brief: AI & the Future of Work Post Covid
HAI Industry Brief: AI & the Future of Work Post Covid
Stanford University, Human-Centered Artificial Intelligence:
Researchers studying how AI can be used to help teams collaborate, improve workplace culture, promote employee well-being, assist humans in dangerous environments, and more.
Source: https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf
2021 Salary Guide for Creative & Marketing | North America
The document provides an overview of hiring trends and salary expectations in 2021 for creative and marketing professionals in the United States and Canada, noting increased demand for digital skills as companies pivot more resources online and adopt hybrid remote/onsite models, while also discussing retention challenges and emerging jobs.
Lucid Dreaming Training via Virtual Reality | Whitepaper
Lucid Dreaming Training via Virtual Reality:
"Metacognitive reflections on one’s current state of mind are largely absent
during dreaming. Lucid dreaming as the exception to this rule is a rare
phenomenon; however, its occurrence can be facilitated through cognitive
training."
Omniphotos Whitepaper | SIGGRAPH Asia 2020
Omniphotos Whitepaper | SIGGRAPH Asia 2020
A methodology for extracting parallax from photography and videography, using visual synthesis, optical flow, and scene-adaptive proxy geometry.
2020 State of the Art of Neural Rendering
This document provides a state-of-the-art report on neural rendering. It begins with an overview of neural rendering, which combines techniques from computer graphics and deep learning to enable controllable image generation. The report discusses different types of control in neural rendering approaches and surveys key applications, such as novel view synthesis, semantic manipulation, reenactment, and virtual avatars. It concludes by examining open problems in neural rendering and the social implications of generating realistic synthetic images and videos.
The Libra Blockchain Whitepaper | v 2.0
The Libra Blockchain Whitepaper V2
#libra #blockchain #whitepaper #fintech #payments #banking #tech #facebook
Personal Identifiability of User Tracking Data | Whitepaper
Personal Identifiability of User Tracking Data During Observation of 360 Degree VR Video
Abstract
Virtual reality (VR) is a technology that is gaining traction in the consumer market. With it comes an unprecedented ability to track body motions. These body motions are diagnostic of personal identity, medical conditions, and mental states. Previous work has focused on the identifiability of body motions in idealized situations in which some action is chosen by the study designer. In contrast, our work tests the identifiability of users under typical VR viewing circumstances, with no specially designed identifying task. Out of a pool of 511 participants, the system identifies 95% of users correctly when trained on less than 5 min of tracking data per person. We argue these results show nonverbal data should be understood by the public and by researchers as personally identifying data.
Cornell University: "C-Face" Facial Motion Capture
Cornell University: "C-Face" Facial Motion Capture
using Deep Learning to reconstruct facial shapes for animation, avatars, and more.
Infrared Eye Tracking Contact Lens | Whitepaper
Infrared Eye Tracking Contact Lens | Whitepaper
A laser emitting contact lens for eye tracking.
It's named "Cyclops," after the Marvel character.
Open AI Response to Philosophers
I would like to point out that page 3, which appears to show some semblance of self-reflection. This capability is one of the standards by which we recognize consciousness (sentience), even though there remains no official medical definition of it.
SOURCE: https://drive.google.com/file/d/1B-OymgKE1dRkBcJ7fVhTs9hNqx1IuUyW/view
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
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Bank of England Staff Working Paper No 605 The Macroeconomics of Central Bank...
Bank of England Staff Working Paper No 605 The Macroeconomics of Central Bank...Alejandro Franceschi
Bank of England Staff Working Paper No 605 The Macroeconomics of Central Bank Issued Digital Currencies (CBDC).
A study on the macroeconomic consequences of issuing a central bank digital currency (CBDC) - a universally accessible and interest-bearing central bank liability, implemented via distributed ledgers, that competes with bank deposits as a medium of exchange. Some summary results are: a possible rise in GDP by 3%, reductions in real interest rates, distortionary taxes, and monetary transaction costs. As a second monetary policy instrument, which could substantially improve the central bank's ability to stabilize the business cycle.
CITIBANK | METAVERSE AND MONEY
THE METAVERSE IS POTENTIALLY AN $8 TRILLION TO $13 TRILLION OPPORTUNITY (Citibank):
We believe the Metaverse may be the next generation of the
internet — combining the physical and digital world in a persistent
and immersive manner — and not purely a Virtual Reality world.
A device-agnostic Metaverse accessible via PCs, game consoles, and
smartphones could result in a very large ecosystem. Based on our
definition, we estimate the total addressable market for the Metaverse
economy could grow to between $8 trillion and $13 trillion by 2030.
METAVERSE USE CASES:
Gaming is viewed as a key Metaverse use case for the next several years due to the immersive and multi-player
experience of the space currently. But we believe that the Metaverse will eventually help us find new enhanced ways to
do all of our current activities, including commerce, entertainment and media, education and training, manufacturing and
enterprise in general. Enterprise use cases of the Metaverse in the coming years will likely include internal collaboration,
client contact, sales and marketing, advertising, events and conferences, engineering and design, and workforce train
METAVERSE INFRASTRUCTURE BUILDING:
the current state, the internet infrastructure is unsuitable for building a fully-immersive content streaming Metaverse
environment, that enables users to go seamlessly from one experience to another. To make the vision of Metaverse a reality, we
expect significant investment in a confluence of technology. Low latency — the time it takes a data signal to travel from one point
on the internet to another point and then come back — is critical to building a more realistic user experience.
MONEY IN THE METAVERSE:
We expect the next generation of the internet, i.e., the Metaverse, would encapsulate a range of form factors of money, including
the existing/traditional forms of money and also upcoming/digitally-native forms — cryptocurrency, stablecoins, central bank
digital currencies (CBDCs) — that were out of scope in a pre-blockchain virtual world
This document is the copyright of its respective holders. It is freely available on the Internet to anyone who searches for it independently. It is provided here under the "Fair Use Doctrine of U.S. Copyright Law."
Mixed Reality: Pose Aware Object Replacement for Alternate Realities
This document explains how the technology involved, can semantically replace moving objects, humans, and other such visual input, and transform it, using mixed reality, into whatever the viewer would prefer the real world looks like instead.
From videogames to movies, to education, healthcare, commerce, communications, and industrial solutions, this will radically change the way we interact with the world, with others, and ourselves.
Academy Software Foundation on MaterialX | SIGGRAPH 2021
MaterialX has been integrated into MayaUSD and ArnoldUSD in the following ways:
- MaterialX definitions can be imported and exported from MayaUSD to enable interoperability via UsdShade and the MaterialX Preview Surface.
- The standard MaterialX shader generator is used to visualize MaterialX materials directly in Maya's viewport without translation, leveraging the same GLSL code generator as hdStorm.
- A plugin architecture allows custom MaterialX to Preview Surface translations to be defined and used for import and export between DCC tools and renderers.
Google Research Siggraph Whitepaper | Total Relighting: Learning to Relight P...
Google Research Siggraph Whitepaper | Total Relighting: Learning to Relight P...Alejandro Franceschi
Google Research Siggraph Whitepaper | Total Relighting: Learning to Relight Portraits for Background Replacement
Abstract:
Given a portrait and an arbitrary high dynamic range lighting environment, our framework uses machine learning to composite the subject into a new scene, while accurately modeling their appearance in the target illumination condition. We estimate a high quality alpha matte, foreground element, albedo map, and surface normals, and we propose a novel, per-pixel lighting representation within a deep learning framework.Intel, Intelligent Systems Lab: Syable View Synthesis Whitepaper
Intel, Intelligent Systems Lab:
Stable View Synthesis Whitepaper
We present Stable View Synthesis (SVS). Given a set
of source images depicting a scene from freely distributed
viewpoints, SVS synthesizes new views of the scene. The
method operates on a geometric scaffold computed via
structure-from-motion and multi-view stereo. Each point
on this 3D scaffold is associated with view rays and corresponding feature vectors that encode the appearance of
this point in the input images.
The core of SVS is view dependent on-surface feature aggregation, in which directional feature vectors at each 3D point are processed to produce a new feature vector for a ray that maps this point into the new target view.
The target view is then rendered by a convolutional network from a tensor of features synthesized in this way for all pixels. The method is composed of differentiable modules and is trained end-to-end. It supports spatially-varying view-dependent importance weighting and feature transformation of source images at each point; spatial and temporal stability due to the smooth dependence of on-surface feature aggregation on the target view; and synthesis of view-dependent effects such as specular reflection.
Experimental results demonstrate that SVS outperforms state-of-the-art view synthesis methods both quantitatively and qualitatively on three diverse realworld datasets, achieving unprecedented levels of realism in free-viewpoint video of challenging large-scale scenes.
PWC: Why we believe VR/AR will boost global GDP by $1.5 trillion
VR and AR have the potential to boost the global economy by $1.5 trillion by 2030. The document discusses how these technologies can transform business in areas like product development, training, process improvements, healthcare and retail. It provides examples of how different industries like automotive, energy, and healthcare are already using VR and AR to improve efficiency and customer experiences. The technologies are maturing and will be further enabled by 5G networks, with AR expected to have a bigger economic impact than VR through 2030. For businesses to fully realize the value, they need to address cultural concerns and privacy/security issues around the technologies.
U.K. Immersive Tech: VC Report, 2021
This document provides an overview of 10 UK immersive technology companies that have raised significant funding. It discusses Anything World, a platform for creating 3D worlds using voice controls and AI; Bodyswaps, a VR platform for soft skills training that has worked with organizations like Save the Children; and Anthropic, an AI safety startup that has raised $50 million and works on techniques like constitutional AI. The document highlights the companies' technologies, customers, fundraising journeys, and growth opportunities in areas like enterprise training as immersive tech adoption increases.
Intel ILS: Enhancing Photorealism Enhancement
1. The document presents an approach to enhance the realism of synthetic images rendered by game engines. A convolutional network is trained to modify rendered images using intermediate representations from the rendering process.
2. The network is trained with an adversarial objective to provide strong supervision at multiple perceptual levels. A new strategy is proposed for sampling image patches during training to address differences in scene layout distributions between datasets.
3. The approach significantly enhances photorealism over recent image-to-image translation methods and baselines, as shown in controlled experiments. It can add realistic details like gloss, vegetation, and road textures while keeping enhancements consistent with the input image content.
Artificial Intelligence Index Report, 2021
Stanford University: Artificial Intelligence Index Report, 2021
The AI Index is an effort to track, collate, distill and visualize data relating to artificial intelligence. It aspires to be a comprehensive resource of data and analysis for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI.
Source: https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf
HAI Industry Brief: AI & the Future of Work Post Covid
HAI Industry Brief: AI & the Future of Work Post Covid
Stanford University, Human-Centered Artificial Intelligence:
Researchers studying how AI can be used to help teams collaborate, improve workplace culture, promote employee well-being, assist humans in dangerous environments, and more.
Source: https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf
2021 Salary Guide for Creative & Marketing | North America
The document provides an overview of hiring trends and salary expectations in 2021 for creative and marketing professionals in the United States and Canada, noting increased demand for digital skills as companies pivot more resources online and adopt hybrid remote/onsite models, while also discussing retention challenges and emerging jobs.
Lucid Dreaming Training via Virtual Reality | Whitepaper
Lucid Dreaming Training via Virtual Reality:
"Metacognitive reflections on one’s current state of mind are largely absent
during dreaming. Lucid dreaming as the exception to this rule is a rare
phenomenon; however, its occurrence can be facilitated through cognitive
training."
Omniphotos Whitepaper | SIGGRAPH Asia 2020
Omniphotos Whitepaper | SIGGRAPH Asia 2020
A methodology for extracting parallax from photography and videography, using visual synthesis, optical flow, and scene-adaptive proxy geometry.
2020 State of the Art of Neural Rendering
This document provides a state-of-the-art report on neural rendering. It begins with an overview of neural rendering, which combines techniques from computer graphics and deep learning to enable controllable image generation. The report discusses different types of control in neural rendering approaches and surveys key applications, such as novel view synthesis, semantic manipulation, reenactment, and virtual avatars. It concludes by examining open problems in neural rendering and the social implications of generating realistic synthetic images and videos.
The Libra Blockchain Whitepaper | v 2.0
The Libra Blockchain Whitepaper V2
#libra #blockchain #whitepaper #fintech #payments #banking #tech #facebook
Personal Identifiability of User Tracking Data | Whitepaper
Personal Identifiability of User Tracking Data During Observation of 360 Degree VR Video
Abstract
Virtual reality (VR) is a technology that is gaining traction in the consumer market. With it comes an unprecedented ability to track body motions. These body motions are diagnostic of personal identity, medical conditions, and mental states. Previous work has focused on the identifiability of body motions in idealized situations in which some action is chosen by the study designer. In contrast, our work tests the identifiability of users under typical VR viewing circumstances, with no specially designed identifying task. Out of a pool of 511 participants, the system identifies 95% of users correctly when trained on less than 5 min of tracking data per person. We argue these results show nonverbal data should be understood by the public and by researchers as personally identifying data.
Cornell University: "C-Face" Facial Motion Capture
Cornell University: "C-Face" Facial Motion Capture
using Deep Learning to reconstruct facial shapes for animation, avatars, and more.
Infrared Eye Tracking Contact Lens | Whitepaper
Infrared Eye Tracking Contact Lens | Whitepaper
A laser emitting contact lens for eye tracking.
It's named "Cyclops," after the Marvel character.
Open AI Response to Philosophers
I would like to point out that page 3, which appears to show some semblance of self-reflection. This capability is one of the standards by which we recognize consciousness (sentience), even though there remains no official medical definition of it.
SOURCE: https://drive.google.com/file/d/1B-OymgKE1dRkBcJ7fVhTs9hNqx1IuUyW/view
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Operating System Used by Users in day-to-day life.pptx
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Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
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The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
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In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
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