Lifeboat Foundation

Professor Junsuk Rho from the Department of Mechanical Engineering, Chemical Engineering, and Electrical Engineering, Hyunjung Kang and Nara Jeon, PhD candidates, from Department of Mechanical Engineering and Dongkyo Oh, a PhD student, from the Department of Mechanical Engineering at Pohang University of Science and Technology (POSTECH) successfully conducted a thorough quantitative analysis. Their aim is to determine the ideal printing material for crafting ultraviolet metasurfaces.

Their findings featured in the journal Microsystems & Nanoengineering (“Tailoring high-refractive-index nanocomposites for manufacturing of ultraviolet metasurfaces”).

Diagram illustrating the composition of nanocomposites for ultraviolet metasurface fabrication. (Top) Diagram illustrating the ZrO 2 nanocomposite’s role in achieving high transfer fidelity ultraviolet metaholograms. (Bottom) Comparison of UV holograms under various solvent conditions. (Image: POSTECH)

CRISPR gene editing leads to improvements in vision for people with inherited blindness, a recent clinical trial shows.

BASEL, Switzerland — A reliable and ultra-powerful quantum computer could finally be on the horizon. Researchers from the University of Basel and the NCCR SPIN in Switzerland have made an exciting advancement in the world of quantum computing, achieving the first controllable interaction between two “hole spin qubits” inside a standard silicon transistor. This leap forward could eventually allow quantum computer chips to carry millions of qubits — a feat that would drastically scale up their processing power and potentially replace the modern computer.

First, we need to explain some of the high-tech terms involved in the new study published in Nature Physics. A qubit is the quantum equivalent of a bit, the fundamental building block of data in conventional computing. While a standard bit can be either a 0 or a 1, qubits can be both simultaneously, thanks to the principles of quantum mechanics. This allows quantum computers to handle complex calculations at speeds today’s standard computers will never achieve.

The concept of hole spin qubits might sound even more abstract. In simple terms, in the materials used for making computer chips, electrons (tiny particles with negative charge) move around, and sometimes they leave behind empty spaces or “holes.”

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Musk, Gates, Hawking, Altman and Putin all fear artificial general intelligence, AGI. But what is AGI and why might it be an advantage that more people are trying to develop it despite very serious risks?

“We are all so small and weak. Imagine how easy life would be if we had an owl to help us build nests,” said one sparrow to the flock. Others agreed:

“Yes, and we could use it to look after our elderly and our children. And it could give us good advice and keep an eye on the cat.”

A new book by Nick Bostrom is a major publishing and cultural event. His 2014 book, Superintelligence, helped to wake the world up to the impact of the first Big Bang in AI, the arrival of deep learning. Since then we have had a second Big Bang in AI, with the introduction of transformer systems like GPT-4. Bostrom’s previous book focused on the downside potential of advanced AI. His new one explores the upside.

Deep Utopia is an easier read than its predecessor, although its author cannot resist using some of the phraseology of professional philosophers, so readers may have to look up words like “modulo” and “simpliciter.” Despite its density and its sometimes grim conclusions, Superintelligence had a sprinkling of playful self-ridicule and snark. There is much more of this in the current offering.

The structure of Deep Utopia is deeply odd. The book’s core is a series of lectures by an older version of the author, which are interrupted a couple of times by conflicting bookings of the auditorium, and once by a fire alarm. The lectures are attended and commented on by three students, Kelvin, Tessius and Firafax. At one point they break the theatrical fourth wall by discussing whether they are fictional characters in a book, a device reminiscent of the 1991 novel Sophie’s World.

Efficient. Fast. Autonomous. And one day it will erase humans: #AI I personally always said there is another perspective to artificial intelligence and the only thing that is super is the outcome for humans. Philosopher Nick Bostom has a new book, and it’s finally acknowledging the potential of a harmonious human-AI relationship and its problem solving capabilities. AI = augmented intelligence #design #ai #problemsolving #innovation #creativeai

A recent study revealed that when individuals are given two solutions to a moral dilemma, the majority tend to prefer the answer provided by artificial intelligence (AI) over that given by another human.

The recent study, which was conducted by Eyal Aharoni, an associate professor in Georgia State’s Psychology Department, was inspired by the explosion of ChatGPT and similar AI large language models (LLMs) which came onto the scene last March.

“I was already interested in moral decision-making in the legal system, but I wondered if ChatGPT and other LLMs could have something to say about that,” Aharoni said. “People will interact with these tools in ways that have moral implications, like the environmental implications of asking for a list of recommendations for a new car. Some lawyers have already begun consulting these technologies for their cases, for better or for worse. So, if we want to use these tools, we should understand how they operate, their limitations, and that they’re not necessarily operating in the way we think when we’re interacting with them.”

The nuclear reactions that power the stars and forge the elements emerge from the interactions of the quantum mechanical particles, protons and neutrons. Explaining these processes is one of the most challenging unsolved problems in computational physics. As the mass of the colliding nuclei grows, the resources required to model them outpace even the most powerful conventional computers. Quantum computers could perform the necessary computations. However, they currently fall short of the required number of reliable and long-lived quantum bits. This research combined conventional computers and quantum computers to significantly accelerate the prospects of solving this problem.

The Impact

The researchers successfully used the hybrid computing scheme to simulate the scattering of two neutrons. This opens a path to computing nuclear reaction rates that are difficult or impossible to measure in a laboratory. These include reaction rates that play a role in astrophysics and national security. The hybrid scheme will also aid in simulating the properties of other quantum mechanical systems. For example, it could help researchers study the scattering of electrons with quantized atomic vibrations known as phonons, a process that underlies superconductivity.