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Congratulations to Osinakachi Gabriel for his launch of the first publication the TAFFD’s “Magazine of the Future” — Also thanks for the Bioquark (page 37) and Regenerage (page 72) profiles — https://issuu.com/taffds/docs/taffd_s_magazine_2019 #Futurism #Longevity #Transhumanism #Biotechnology #Health #Wellness #Regeneration #LifeExtension #Aging #Immortality #IraPastor #Bioquark #Regenerage #Ideaxme #Singularity #Consciousness #AI #JasonSilva #ArtificiaIIntelligence #SENS


In this first issue by Trandisciplinary Agora For Future Discussions, we approach reality from a transdisciplinary perspective in order to find unity and greater understanding of the world as we enter a new paradigm in technological advancements that will lead us to transcending our own biology while enhancing our mental and physical limitations. We explore all topics that relate to transhumanism, cybernetic singularity, energy, consciousness, international policy, electromagnetic forces, language, AI, digitalization, ethics, philosophy, biotechnology, futurism and more.

Last week, my colleague Tristan wrote about an AI developer who used machine learning to upscale the famous 1895 train scene to 4K at 60 frames per second. While this was a great short watch, it made me wonder about using AI to restore and enhance old videos.

Thankfully, I stumbled upon a paper featured by the Two Minute Papers YouTube channel over the weekend that aims to improve and colorize these videos. The model uses Temporal Neural Network to identify and correct defects such as flickers in vintage videos.

Via Virtual Reality, Mother Encounters Deceased Daughter ‘But that barrier was going to melt away someday soon. The transhumanists had promised…’ — Stephen Baxter, 2008.

BabyX AI Real Enough For You ‘…what’s to keep me from showing face, Man? I’m showing a voice this instant… I can show a face the same way.’ — Robert Heinlein, 1966.

Someday, You Might Like VR Enough To Move In ‘That barrier was going to melt away someday soon. The transhumanists had promised…’ — Stephen Baxter, 2008.

If you’ve ever opened an umbrella or set up a folding chair, you’ve used a deployable structure—an object that can transition from a compact state to an expanded one. You’ve probably noticed that such structures usually require rather complicated locking mechanisms to hold them in place. And, if you’ve ever tried to open an umbrella in the wind or fold a particularly persnickety folding chair, you know that today’s deployable structures aren’t always reliable or autonomous.

Now, a team of researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have harnessed the to design deployable systems that expand quickly with a small push and are stable and locked into place after deployment.

The research is published in the Proceedings of the National Academy of Sciences (PNAS).

A new AI prototype could transform how earthquake aftermaths are managed, by predicting the safest routes that families can take to find their loved ones.

The idea first emerged in the ImpactHub Istanbul, a social innovation centre in a city where a future earthquake is all but inevitable.

The last time a devastating earthquake had struck Turkey was in 1999, around 150–200 kilometers from the capital. Official records put the death toll at 18,373 people.

To address the challenge, some startups are making chips focused on specific software tasks. Others are pushing further, finding processing and storage solutions in new materials, including synthetic DNA.


Quantum computing is the best-known of these new methods. Startups as well as tech giants including Alphabet Inc.’s Google and International Business Machines Corp. are developing quantum computers, which harness the properties of quantum physics to sort through a vast number of possibilities in nearly real time. The advent of quantum computing has paved the way for other experimental techniques, startup executives say.

The market for new computing technology comes as advancements in traditional chip making are hitting a physical limit under Moore’s Law, the idea that every two years or so, the number of transistors in a chip doubles.

At the same time, advances in artificial intelligence, easier access to huge troves of data and the continuing digitization of business processes are putting new demands on corporate and scientific computing.

One of the biggest problems in the sneaker resale market may now be more manageable.

Product authentication technology provider Entrupy on Wednesday released its Legit Check Tech (LCT) solution, a device that uses artificial intelligence to determine whether a sneaker is counterfeit or not — and it only takes about a minute to use.

Fake pairs of popular Nike and Adidas sneakers are rampant in the resale sector. Authorities recently busted a counterfeiting operation that shipped $470 million worth of fake Nikes to the US.