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Wollberg and Berry, Prophetic’s CEO and chief technology officer, respectively, plan to showcase a semi-working prototype either later this month or in early November. But the full test of the prototype, they say, will have to wait until the third or fourth quarter of 2024, after the conclusion of a yearlong study on brain imaging conducted in partnership with the Donders Institute for Brain, Cognition and Behaviour, part of Radboud University in the Netherlands.

The co-founders have the type of lofty dreams typical of a modern-era tech startup, with Wollberg comparing the company to OpenAI. Its mission is to work “collectively towards understanding the nature of consciousness” and its LinkedIn page reads, “Prometheus stole fire from the gods, we will steal dreams from the prophets.”

But a year out from a fully working prototype, with plans to ship devices starting in spring 2025, Prophetic is still a ways away from delivering on its promises.

Would you want to live forever? On this episode, Neil deGrasse Tyson and author, inventor, and futurist Ray Kurzweil discuss immortality, longevity escape velocity, the singularity, and the future of technology. What will life be like in 10 years?

Could we upload our brain to the cloud? We explore the merger of humans with machines and how we are already doing it. Could nanobots someday flow through our bloodstreams? Learn about the exponential growth of computation and what future computing power will look like.

When will computers pass the Turing test? Learn why the singularity is nearer and how to think exponentially about the world. Are things getting worse? We go through why things might not be as bad as they seem. What are the consequences of having a longer lifetime? Will we deplete resources?

Will there be a class divide between people able to access longer lifespans? What sort of jobs would people have in the future? Explore what artificial intelligence has in store for us. What happens if AI achieves consciousness? We discuss the definition of intelligence and whether there will be a day when there is nothing left for humans to do. Will we ever see this advancement ending?

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After decades of searching, scientists have found stars accompanying the gas streaming from two smaller galaxies that orbit our Milky Way.

Our galaxy is so big that astronomers are still exploring its stellar backwaters. Now, new observations have enabled them to map a previously uncharted structure in the Milky Way.

Scientists have found 13 stars that they believe are associated with the Magellanic Stream — a giant ribbon of gas stretching over three-quarters of the way across the sky. The researchers presented their findings on the arXiv astronomy preprint server in June.

Curious Kids is a series for children of all ages. If you have a question you’d like an expert to answer, send it to [email protected].

How do we know the age of the planets and stars? – Swara D., age 13, Thane, India

Measuring the ages of planets and stars helps scientists understand when they formed and how they change – and, in the case of planets, if life has had time to have evolved on them.

Researchers at the University of Hong Kong (HKU) have designed an innovative pixelated, soft, color-changing system called a Morphable Concavity Array (MoCA).

Pixelated, soft, color-changing systems are malleable structures that can change color by manipulating light. They have applications in a wide range of industries, from medical bandages that change color if there is an infection, to foldable screens on smartphones and tablets, as well as wearable technology where sensors are integrated into the clothing fabric.

The research was co-directed by Professor Anderson Ho Cheung Shum from the Department of Mechanical Engineering at HKU, and Professor Mingzhu Li from the Institute of Chemistry, Chinese Academy of Sciences, and led by Dr. Yi Pan from the Department of Mechanical Engineering at HKU.

Ben Dixon, a researcher in the Optical and Quantum Communications Technology Group, explains how the process works: “First, you need to generate pairs of specific entangled qubits (called Bell states) and transmit them in different directions across the network link to two separate quantum repeaters, which capture and store these qubits. One of the quantum repeaters then does a two-qubit measurement between the transmitted and stored qubit and an arbitrary qubit that we want to send across the link in order to interconnect the remote quantum systems. The measurement results are communicated to the quantum repeater at the other end of the link; the repeater uses these results to turn the stored Bell state qubit into the arbitrary qubit. Lastly, the repeater can send the arbitrary qubit into the quantum system, thereby linking the two remote quantum systems.”

To retain the entangled states, the quantum repeater needs a way to store them — in essence, a memory. In 2020, collaborators at Harvard University demonstrated holding a qubit in a single silicon atom (trapped between two empty spaces left behind by removing two carbon atoms) in diamond. This silicon “vacancy” center in diamond is an attractive quantum memory option. Like other individual electrons, the outermost (valence) electron on the silicon atom can point either up or down, similar to a bar magnet with north and south poles. The direction that the electron points is known as its spin, and the two possible spin states, spin up or spin down, are akin to the ones and zeros used by computers to represent, process, and store information. Moreover, silicon’s valence electron can be manipulated with visible light to transfer and store a photonic qubit in the electron spin state. The Harvard researchers did exactly this; they patterned an optical waveguide (a structure that guides light in a desired direction) surrounded by a nanophotonic optical cavity to have a photon strongly interact with the silicon atom and impart its quantum state onto that atom. Collaborators at MIT then showed this basic functionality could work with multiple waveguides; they patterned eight waveguides and successfully generated silicon vacancies inside them all.

Lincoln Laboratory has since been applying quantum engineering to create a quantum memory module equipped with additional capabilities to operate as a quantum repeater. This engineering effort includes on-site custom diamond growth (with the Quantum Information and Integrated Nanosystems Group); the development of a scalable silicon-nanophotonics interposer (a chip that merges photonic and electronic functionalities) to control the silicon-vacancy qubit; and integration and packaging of the components into a system that can be cooled to the cryogenic temperatures needed for long-term memory storage. The current system has two memory modules, each capable of holding eight optical qubits.

Of all the holy grails in robotics, learning may well be the holiest. In an era when the term “general purpose” is tossed around with great abandon, however, it can be difficult for non-roboticists to understand what today’s systems can — and can’t — do. The truth of it is that most robots these days are built to do one (or a couple, if you’re lucky) thing really well.

It’s a truth that spans the industry, from the lowliest robot vacuum to the most advanced industrial system. So, how do we make the transition from single to general purpose robotics? Certainly, there are going to be a lot of stops in multipurpose land along the way.

The answer is, of course, robot learning. Walk into nearly any robotics research lab these days and you will find teams working on tackling the issue. The same applies to startups and corporations, as well. Look at companies Viam and Intrinsic, which are working to lower the bar of entry for robot programming.

The Renaissance sculptor Michelangelo was known for claiming that he deserved little credit for his beautiful works: they were already there inside the rock, he merely cut them out. ‘Every block of stone,’ he said, ‘has a statue inside it and it is the task of the sculptor to discover it. I saw the angel in the marble and carved until I set him free.’

The final product already existed within Michelangelo’s ideals. But it took years of trial and error, practice, and failure to reach the point of being able to give form to it. In a similar sense, Nietzsche would say the ‘you’ that you must become is already there. It’s already inscribed in your values. That which you admire – the preponderance of all your latent virtues – reflects who you are in the truest sense.

The act of becoming who you are is the act of carving your ideal self out of the hard stone of your psyche – of bringing greater and greater refinement to the crude shapes of character that exist in you now. Simultaneously an act of discovery and creation, to become who you are is to bring your virtues to life and synthesise them into a unified whole. Nietzsche proclaims: