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Advancing AI With a Supercomputer: A Blueprint for an Optoelectronic ‘Brain’

Others think we’re still missing fundamental aspects of how intelligence works, and that the best way to fill the gaps is to borrow from nature. For many that means building “neuromorphic” hardware that more closely mimics the architecture and operation of biological brains.

The problem is that the existing computer technology we have at our disposal looks very different from biological information processing systems, and operates on completely different principles. For a start, modern computers are digital and neurons are analog. And although both rely on electrical signals, they come in very different flavors, and the brain also uses a host of chemical signals to carry out processing.

Now though, researchers at NIST think they’ve found a way to combine existing technologies in a way that could mimic the core attributes of the brain. Using their approach, they outline a blueprint for a “neuromorphic supercomputer” that could not only match, but surpass the physical limits of biological systems.

The World’s Biggest AI Chip Now Comes Stock With 2.6 Trillion Transistors

The world’s biggest AI chip just doubled its specs—without adding an inch.

The Cerebras Systems Wafer Scale Engine is about the size of a big dinner plate. All that surface area enables a lot more of everything, from processors to memory. The first WSE chip, released in 2019, had an incredible 1.2 trillion transistors and 400000 processing cores. Its successor doubles everything, except its physical size.

The WSE-2 crams in 2.6 trillion transistors and 850000 cores on the same dinner plate. Its on-chip memory has increased from 18 gigabytes to 40 gigabytes, and the rate it shuttles information to and from said memory has gone from 9 petabytes per second to 20 petabytes per second.

DLL: A map-based localization framework for aerial robots

To enable the efficient operation of unmanned aerial vehicles (UAVs) in instances where a global localization system (GPS) or an external positioning device (e.g., a laser reflector) is unavailable, researchers must develop techniques that automatically estimate a robot’s pose. If the environment in which a drone operates does not change very often and one is able to build a 3D map of this environment, map-based robot localization techniques can be fairly effective.

Ideally, map-based pose estimation approaches should be efficient, robust and reliable, as they should rapidly send a robot the information it needs to plan its future actions and movements. 3D light detection and ranging (LIDAR) systems are particularly promising map-based localization systems, as they gather a rich pool of 3D information, which drones can then use for localization.

Researchers at Universidad Pablo de Olavide in Spain have recently developed a new framework for map-based localization called direct LIDAR localization (DLL). This approach, presented in a paper pre-published on arXiv, could overcome some of the limitations of other LIDAR localization techniques introduced in the past.

CRISPR, AI & Brain-Machine Interface: The Future Is Faster Than You Think, Peter Diamandis

The only thing bad about Star Trek was they made the Borg evil.


Emerging technologies have unprecedented potential to solve some of the world’s most pressing issues. Among the most powerful — and controversial — is the gene-editing tech, CRISPR-Cas9, which will improve agricultural yields, cure genetic disorders, and eradicate infectious diseases like malaria. But CRISPR and other disruptive technologies, like brain-machine interfaces and artificial intelligence, also pose complex philosophical and ethical questions. Perhaps no one is better acquainted with these questions than Peter Diamandis, founder of the XPRIZE Foundation and co-founder of Singularity University and Human Longevity Inc. In this session, Peter will give a state of the union on the near future and explore the profound ethical implications we will face in the ongoing technological revolution.

This talk was recorded at Summit LA19.

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Post-Human Species

Great episode from a great channel and creator. Though I’m sure almost everyone here is familiar with the channel in question, It’s still worth pointing out subscribing and supporting even if only 1 or 2 people who otherwise haven’t heard it get the opportunity to do so!


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As Humanity moves into the future, traveling to other worlds and exploring genetics, AI, transhumanism, and cybernetics, we may begin to diverge into a thousand post-human species.

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Cosmism: Russia’s religion for the rocket age

This brave new world seeks to meld space and cyber-space. For both Immortalists and Transhumanists, the human personality lies in the brain, which can live eternally if “uploaded” onto a computer, a favoured theme of science fiction writers. The company Neuralink aims to provide brain-machine interfaces which merge human consciousness and artificial intelligence – helping humans “stay relevant” in a world dominated by AI.


On 28 December 1903, during a particularly harsh Russian winter, a pauper died of pneumonia on a trunk he had rented in a room full of destitute strangers. Nikolai Fyodorov died in obscurity, and he remains almost unknown in the West, yet in life he was celebrated by Leo Tolstoy and Fyodor Dostoevsky, and by a devoted group of disciples – one of whom is credited with winning the Space Race for the Soviet Union.

Now, just as he prophesied, Fyodorov is living a strange afterlife. He has become an icon for transhumanists worldwide and a spiritual guide for interplanetary exploration.

Fyodorov’s poverty came by religious choice rather than material necessity. He was the illegitimate child of Prince Pavel Gagarin, and spent his early childhood on the family’s country estate, until the sudden death of both his father and grandfather, Prince Ivan Gagarin. While Fyodorov’s family had no connection to the first cosmonaut, Anastasia Gacheva of the Fyodorov Museum-Library in Moscow says there is “an important symbolic coincidence – between the Gagarin who foresaw spaceflight in a philosophical way, and Yuri Gagarin who became the world’s first cosmonaut”.