‘5D’ storage could fit 500TB on a CD-sized glass disc
With 5D optical storage, each file is uses three layers of nanoscale dots. The dots' size, orientation and position within the three standard dimensions, make up the five "dimensions." The dots change the polarization of light travelling through the disc which is read using a microscope and polarizer.
...To overcome the speed problem, researchers used a femtosecond laser with a high repetition rate. Rather than writing directly in the glass, they used the laser to produce a phenomenon called near-field enhancement, that creates tiny structures using a few weak light pulses. Those can be used to enhance the circular voids generated by a more powerful, single-pulse "micro-explosion."
...They were also able to write at speeds or around a million voxels per second, or about 230 KB per second.
That might sound slow, but by introducing parallel writing, you could feasibly fill a 500TB disc in about 60 days. That could provide a way to backup reams of valuable data, essentially forever.
See the full story here: https://www.engadget.com/5-d-storage-could-fit-500-tb-on-cd-sized-disc-095039455.html
Market Map of the Metaverse
- Experience is what we actually engage with: games, social experiences, live music, etc.
- Discovery is how people learn that an experience exists.
- The Creator Economy is everything that helps creators make and monetize things for the metaverse: design tools, animation systems, graphics tools, monetization technologies, etc. Read The Evolution of the Creator Economy for more insights on how these markets evolve.
- Spatial Computing refers to the software that brings objects into 3D, computing into objects in the world, and allow us to interact with them. It includes 3D engines, gesture recognition, spatial mapping, and AI to support it.
- Decentralization is everything that is moving more of the ecosystem to a permissionless, distributed and more democratized structure.
- Human Interface refers to the hardware that helps us access the metaverse — everything from mobile devices to VR headsets to future technologies like advanced haptics and smartglasses.
- Infrastructure is the semiconductors, material science, cloud computing and telecommunications networks that make it possible to construct any of the higher layers.
See the full story here: https://medium.com/building-the-metaverse/market-map-of-the-metaverse-8ae0cde89696
Patenting the AI pipeline: intellectual property for AI before standardisation
Patenting the AI pipeline: intellectual property for AI before standardisation
[PhilNote: this is an excellent overview of current patent considerations related to AI.]
It seems likely that AI will evolve from a profusion of specific, single-purpose tools into a handful of general-purpose platforms and systems that serve as the bedrock for later development. Given such evolution, it is worth discussing the many different aspects of AI that may provide patentable value all along the AI pipeline. As a starting point, it is useful to examine the industry’s moves towards standardisation and SEPs.
Standardisation
While it remains an open issue, the calls for AI standardisation are both national and international in scope:
- China – the China Electronics Standardisation Institute issued the Artificial Intelligence Standardisation White Paper in 2018, with input from more than two dozen corporations and research entities.
- United States – the National Institute of Standards and Technology has been tasked with developing a plan for US engagement in the development of technical standards and related tools in support of reliable, robust and trustworthy systems that use AI technologies (Executive Order 13859, 2019).
- Germany – the Institute for Standards launched the German Standardisation Roadmap on Artificial Intelligence in November 2020.
- European Union – in 2021, CEN-CENELEC (the European standards associations) established a joint technical committee to develop and support AI standardisation in the European Union.
....
In general, AI-based inventions can be split into three basic categories, each of which has a place in a well-thought-out patenting strategy:
- applications of AI to specific use cases and systems;
- improvements in fundamental AI technologies; and
- AI-supportive technologies, including technologies for managing and storing the data that powers AI systems.
...
AI and patentable subject matter: considerations in some key jurisdictions
At a high level, many jurisdictions require that the subject matter of a patent demonstrate a ‘technical effect’ or a ‘practical application’:
- The European Patent Convention (EPC) prohibits patents that claim a computer program ‘as such’, unless the claimed invention “causes a further technical effect beyond those effects which occur inevitably when any program is run” (the EPC, Article 52).
- In the United States, claims that are directed to a ‘judicial exception’ without ‘significantly more’, are considered patent-ineligible. However, recent guidance from the USPTO suggests that, if a judicial exception is integrated into a practical application, the claim is patent-eligible.
- In China, under guidance released in 2017, a ‘computer program-related invention’ with ‘technical characteristics’ may be eligible for patent protection.
See the full story here: https://www.iam-media.com/patenting-the-ai-pipeline-intellectual-property-ai-standardisation
Figure 1. US patents granted each year with AI terms in the description.
This AI Predicts How Old Children Are. Can It Keep Them Safe?
Now London-based digital identity company Yotibelieves its AI-powered age estimation can predict how old someone is if they’re aged anywhere from 6 to 60. For the first time, it claims, it can accurately determine whether children are under or over 13, the minimum age many social media firms require their users to be. ...
Yoti says its age estimation technology, which it has developed over the past three years, has a margin of error of 2.79 years across its total 45-year age range. For under 25s the margin of error drops below 1.5 years.
...The company itself is unsure what facial features its AI uses to determine people’s age. “We have to be honest,” Tombs says, “we don't really know whether it's to do with wrinkles or saggy eyes or quite what. It has just done so many that it is now very good at it.” ...
See the full story here: https://www.wired.com/story/ai-predicts-how-old-children-are/
Edward Saatchi Founder of Fable Studio on Creating Virtual Beings – Voicebot Podcast Ep 231
Edward Saatchi is the founder of Fable Studio which is bringing AR and VR characters to life for the metaverse. Fable is creating both characters and a world where you can interact with them, but more interestingly, where these virtual beings can learn and evolve.
Listen to the 1 hour podcast here: https://voicebot.ai/2021/10/20/edward-saatchi-founder-of-fable-studio-on-creating-virtual-beings-voicebot-podcast-ep-231/
AI, Race, And Architecting More Inclusive Social Spaces
AI-driven architecture for social spaces presents us with new opportunities as well as challenges. In his work, Babar Kasam Cazir explores the implications of how artificial intelligence could change socioeconomic dynamics - specifically in event spaces - through its ability to analyze patterns at scale.
Cazir is a prominent Moorish American architect who has spent many years working in and around the entertainment and hospitality industry as the founder of AV hospitality, a casting associate at Sony Pictures, a brand ambassador at Armand de Brignac, and an event organizer.
...Rather than hope that our events create mutually beneficial connections and business relationships, AI technology is deployed by many event managers to strategically match attendees based on similar interests, experiences, age, or professional goals. Since Networking is one of the main reasons people attend events, AI indeed makes events more useful, as Cazir pointed out.
...AI’s deep learning capability also has immense potential to increase the inclusiveness of events and social gatherings. As increased calls emerge for AI professionals to eliminate the biases often found in AI, it becomes necessary that with respect to event management apps and programs, AI designers should train AI to focus more on vital data like professional interests and achievements, aspirations, and experience rather than race or sex. The approach towards training AI for these purposes should be intentional in trying to create a balanced representation.
See the full story here: https://www.forbes.com/sites/anniebrown/2021/10/21/ai-race-and-architecting-more-inclusive-social-spaces/?sh=6c2b2ee51c89
