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Archive for the ‘supercomputing’ category: Page 9

Oct 2, 2023

Instant evolution: AI designs new robot from scratch in seconds

Posted by in categories: information science, robotics/AI, supercomputing

A team led by Northwestern University researchers has developed the first artificial intelligence (AI) to date that can intelligently design robots from scratch.

To test the new AI, the researchers gave the system a simple prompt: Design a robot that can walk across a . While it took nature billions of years to evolve the first walking species, the compressed to lightning speed—designing a successfully walking robot in mere seconds.

But the AI program is not just fast. It also runs on a lightweight and designs wholly novel structures from scratch. This stands in sharp contrast to other AI systems, which often require energy-hungry supercomputers and colossally large datasets. And even after crunching all that data, those systems are tethered to the constraints of human creativity—only mimicking humans’ past works without an ability to generate new ideas.

Oct 2, 2023

MIT’s New Fluxonium Qubit Circuit Enables Quantum Operations With Unprecedented Accuracy

Posted by in categories: quantum physics, supercomputing

The advance brings quantum error correction a step closer to reality.

In the future, quantum computers may be able to solve problems that are far too complex for today’s most powerful supercomputers. To realize this promise, quantum versions of error correction codes must be able to account for computational errors faster than they occur.

However, today’s quantum computers are not yet robust enough to realize such error correction at commercially relevant scales.

Oct 2, 2023

Google’s Plan to Give YOU a Quantum Computer By 2029

Posted by in categories: quantum physics, robotics/AI, supercomputing

While the Quantum Computer race is heating up with companies such as Atlantic Quantum Innovations joining the race, Google has published a plan to make Quantum Computers usable for everyday consumers by 2029. This is in hopes of revolutionizing Healthcare, finding room temperature superconductors, enabling with like artificial general intelligence through quantum AI and increasing supercomputer performance a million times. In this video, we’re exploring all of these secret projects and other Quantum Computing Companies.

TIMESTAMPS:
00:00 CPU’s, GPU’s and now QPU’s.
01:14 Google’s Secret Project.
04:36 Other Quantum Computer Companies.
07:17 Fastest Quantum Computer today.

#google #quantum #future

Oct 1, 2023

My predictions about Artificial Super Intelligence (ASI)

Posted by in categories: quantum physics, robotics/AI, supercomputing

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00:00 — Introduction.
00:38 — Landauer Limit.
02:51 — Quantum Computing.
04:21 — Human Brain Power?
07:03 — Turing Complete Universal Computation?
10:07 — Diminishing Returns.
12:08 — Byzantine Generals Problem.
14:38 — Terminal Race Condition.
17:28 — Metastasis.
20:20 — Polymorphism.
21:45 — Optimal Intelligence.
23:45 — Darwinian Selection “Survival of the Fastest“
26:55 — Speed Chess Metaphor.
29:42 — Conclusion & Recap.

Continue reading “My predictions about Artificial Super Intelligence (ASI)” »

Sep 29, 2023

Human Brain Project celebrates successful conclusion

Posted by in categories: robotics/AI, supercomputing

HBP researchers have employed highly advanced methods from computing, neuroinformatics and artificial intelligence in a truly integrative approach to understanding the brain as a multi-level system.


The EU-funded Human Brain Project (HBP) comes to an end in September and celebrates its successful conclusion today with a scientific symposium at Forschungszentrum Jülich (FZJ). The HBP was one of the first flagship projects and, with 155 cooperating institutions from 19 countries and a total budget of 607 million euros, one of the largest research projects in Europe. Forschungszentrum Jülich, with its world-leading brain research institute and the Jülich Supercomputing Centre, played an important role in the ten-year project.

“Understanding the complexity of the human brain and explaining its functionality are major challenges of brain research today”, says Astrid Lambrecht, Chair of the Board of Directors of Forschungszentrum Jülich. “The instruments of brain research have developed considerably in the last ten years. The Human Brain Project has been instrumental in driving this development — and not only gained new insights for brain research, but also provided important impulses for information technologies.”

Continue reading “Human Brain Project celebrates successful conclusion” »

Sep 29, 2023

Evolution wired human brains to act like supercomputers

Posted by in categories: evolution, mathematics, neuroscience, supercomputing

Now, scientists have a mathematical model that closely matches how the human brain processes visual information.

Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.

In a study published in the journal Nature Communications, researchers from the University of Sydney, University of Queensland and University of Cambridge developed a specific mathematical model that closely matches how human brains work when it comes to reading vision. The model contained everything needed to carry out Bayesian inference.

Sep 28, 2023

What’s a Qubit? 3 Ways Scientists Build Quantum Computers

Posted by in categories: information science, mobile phones, particle physics, quantum physics, supercomputing

A complete quantum computing system could be as large as a two-car garage when one factors in all the paraphernalia required for smooth operation. But the entire processing unit, made of qubits, would barely cover the tip of your finger.

Today’s smartphones, laptops and supercomputers contain billions of tiny electronic processing elements called transistors that are either switched on or off, signifying a 1 or 0, the binary language computers use to express and calculate all information. Qubits are essentially quantum transistors. They can exist in two well-defined states—say, up and down—which represent the 1 and 0. But they can also occupy both of those states at the same time, which adds to their computing prowess. And two—or more—qubits can be entangled, a strange quantum phenomenon where particles’ states correlate even if the particles lie across the universe from each other. This ability completely changes how computations can be carried out, and it is part of what makes quantum computers so powerful, says Nathalie de Leon, a quantum physicist at Princeton University. Furthermore, simply observing a qubit can change its behavior, a feature that de Leon says might create even more of a quantum benefit. “Qubits are pretty strange. But we can exploit that strangeness to develop new kinds of algorithms that do things classical computers can’t do,” she says.

Scientists are trying a variety of materials to make qubits. They range from nanosized crystals to defects in diamond to particles that are their own antiparticles. Each comes with pros and cons. “It’s too early to call which one is the best,” says Marina Radulaski of the University of California, Davis. De Leon agrees. Let’s take a look.

Sep 28, 2023

A new kind of chip for quantum technology

Posted by in categories: cybercrime/malcode, engineering, information science, quantum physics, supercomputing

Today, we are living in the midst of a race to develop a quantum computer, one that could be used for practical applications. This device, built on the principles of quantum mechanics, holds the potential to perform computing tasks far beyond the capabilities of today’s fastest supercomputers. Quantum computers and other quantum-enabled technologies could foster significant advances in areas such as cybersecurity and molecular simulation, impacting and even revolutionizing fields such as online security, drug discovery and material fabrication.

An offshoot of this technological race is building what is known in scientific and engineering circles as a “”—a special type of quantum computer, constructed to solve one equation model for a specific purpose beyond the computing power of a standard computer. For example, in , a quantum could theoretically be built to help scientists simulate a specific, complex molecular interaction for closer study, deepening and speeding up drug development.

But just like building a practical, usable quantum computer, constructing a useful quantum simulator has proven to be a daunting challenge. The idea was first proposed by mathematician Yuri Manin in 1980. Since then, researchers have attempted to employ trapped ions, cold atoms and to build a quantum simulator capable of real-world applications, but to date, these methods are all still a work in progress.

Sep 27, 2023

New qubit circuit enables quantum operations with higher accuracy

Posted by in categories: quantum physics, supercomputing

In the future, quantum computers may be able to solve problems that are far too complex for today’s most powerful supercomputers. To realize this promise, quantum versions of error correction codes must be able to account for computational errors faster than they occur.

However, today’s quantum computers are not yet robust enough to realize such error correction at commercially relevant scales.

On the way to overcoming this roadblock, MIT researchers demonstrated a novel superconducting qubit architecture that can perform operations between qubits—the building blocks of a quantum computer—with much greater accuracy than scientists have previously been able to achieve.

Sep 26, 2023

MIT researchers develop circuit to improve quantum computing

Posted by in categories: quantum physics, supercomputing

The team achieved 99.99 percent accuracy with a single-qubit gate and 99.9 percent accuracy with a two-qubit gate.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a new circuit that can do quantum computation with a high degree of accuracy. The researchers used a new type of superconducting qubit called the fluxonium, a press release said.

Quantum computers are considered the next frontier of computing since they can perform calculations at speeds that are decades ahead of supercomputers being used today. The flip side of such high speeds is that they can accumulate errors equally fast.

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