Lifeboat Foundation

Another key insight of Cybernetic Theory can be referred to as “Mind Over Substrates”: Phenomenal “local” mind is “cybernetically” emergent from the underlying functional organization, whereas holistic “non-local” consciousness is transcendentally imminent. Material worlds come and go, but fundamental consciousness is ever-present, as the multiverse ontology is shown to be testable. From a new science of consciousness to simulation metaphysics, from evolutionary cybernetics to computational physics, from physics of time and information to quantum cosmology, this novel explanatory theory for a deeper understanding of reality is combined into one elegant theory of everything (ToE).

If you’re eager to familiarize with probably the most advanced ontological framework to date or if you’re already familiar with the Syntellect Hypothesis which, with this newly-released series, is now presented to you as the full-fledged Cybernetic Theory of Mind, then this 5-book set will surely present to you some newly-introduced and updated material if compared with the originally published version and can be read as a stand-alone work just like any book of the series:

Continue reading “Cybernetic Theory: Interpretive Model of Everything We Call the Universe” »

This new innovative can lead to near infinite computation speeds without the need for complex components and it can put on a smartphone. Also it requires less hardware and weight.

Light is the most energy-efficient way of moving information. Yet, light shows one big limitation: it is difficult to store. As a matter of fact, data centers rely primarily on magnetic hard drives. However, in these hard drives, information is transferred at an energy cost that is nowadays exploding. Researchers of the Institute of Photonic Integration of the Eindhoven University of Technology (TU/e) have developed a ‘hybrid technology’ which shows the advantages of both light and magnetic hard drives.

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Continue reading “NextMind Dev Kit — Let Your Mind Take Control” »

April 26 (Reuters) — Computers using light rather than electric currents for processing, only years ago seen as research projects, are gaining traction and startups that have solved the engineering challenge of using photons in chips are getting big funding.

In the latest example, Ayar Labs, a startup developing this technology called silicon photonics, said on Tuesday it had raised $130 million from investors including chip giant Nvidia Corp (NVDA.O).

While the transistor-based silicon chip has increased computing power exponentially over past decades as transistors have reached the width of several atoms, shrinking them further is challenging. Not only is it hard to make something so miniscule, but as they get smaller, signals can bleed between them.

BLACKSBURG, Va. (WFXR) – As housing prices across the country continue to skyrocket, an Iowa-based company, Alquist 3D, is looking to combat the crisis by 3D-printing homes.

Alquist, one of a few U.S. companies that 3D-prints houses, is looking to build 200 of these homes in Virginia starting this summer.

The process is somewhat simple. First, a person designs what they want the frame of the house to look like by using a computer program. Then, a file is transmitted to a machine, which tells it what to do and how to move.

The failures of One Laptop per Child have much to teach us about fixing educational inequities.

PsiQuantum, founded in 2016 by four researchers with roots at Bristol University, Stanford University, and York University, is one of a few quantum computing startups that’s kept a moderately low PR profile. (That’s if you disregard the roughly $700 million in funding it has attracted.) The main reason is PsiQuantum has eschewed the clamorous public chase for NISQ (near-term intermediate scale quantum) computers and set out to develop a million-qubit system the company says will deliver big gains on big problems as soon as it arrives.

When will that be?

Continue reading “PsiQuantum’s Path to 1 Million Qubits by the Middle of the Decade” »

Existing memristive devices cannot be reconfigured to meet the diverse volatile and non-volatile switching requirements, and hence rely on tailored material designs specific to the targeted application, limiting their universality. “Reconfigurable memristors” that combine both ionic diffusive and drift mechanisms could address these limitations, but they remain elusive. Here we present a reconfigurable halide perovskite nanocrystal memristor that achieves on-demand switching between diffusive/volatile and drift/non-volatile modes by controllable electrochemical reactions. Judicious selection of the perovskite nanocrystals and organic capping ligands enable state-of-the-art endurance performances in both modes – volatile (2 × 10⁶ cycles) and non-volatile (5.6 × 10³ cycles). We demonstrate the relevance of such proof-of-concept perovskite devices on a benchmark reservoir network with volatile recurrent and non-volatile readout layers based on 19,900 measurements across 25 dynamically-configured devices.