Archive for the ‘supercomputing’ category: Page 5

Feb 10, 2020

Don’t fear Intelligent Machines. Work with them: Kasparov

Posted by in categories: futurism, supercomputing

This story begins in 1985 when at age 22, I became the World Chess Champion after beating Anatoly Karpov.

We must face our fears if we want to get the most out of technology — and we must conquer those fears if we want to get the best out of humanity, says Garry Kasparov. One of the greatest chess players in history, Kasparov lost a memorable match to IBM supercomputer Deep Blue in 1997. Now he shares his vision for a future where intelligent machines help us turn our grandest dreams into reality.

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Feb 3, 2020

Lawrence Livermore researchers release 3D protein structure predictions for the novel coronavirus

Posted by in categories: biotech/medical, robotics/AI, supercomputing

Amid mounting concern about a novel coronavirus spreading from China, Lawrence Livermore National Laboratory (LLNL) researchers have developed a preliminary set of predictive 3D protein structures of the virus to aid research efforts to combat the disease.

The models are based on the genomic sequence of the novel coronavirus and a protein found in the virus that causes Severe Acute Respiratory Syndrome (SARS), which closely resembles the new virus.

The researchers plan to use the models to accelerate countermeasure design, using a combination of machine learning, biological experiments and simulation on supercomputers.

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Jan 28, 2020

Quantum computers offer another look at classic physics concepts

Posted by in categories: particle physics, quantum physics, supercomputing

“Think what we can do if we teach a quantum computer to do statistical mechanics,” posed Michael McGuigan, a computational scientist with the Computational Science Initiative at the U.S. Department of Energy’s Brookhaven National Laboratory.

At the time, McGuigan was reflecting on Ludwig Boltzmann and how the renowned physicist had to vigorously defend his theories of . Boltzmann, who proffered his ideas about how atomic properties determine physical properties of matter in the late 19th century, had one extraordinarily huge hurdle: atoms were not even proven to exist at the time. Fatigue and discouragement stemming from his peers not accepting his views on atoms and physics forever haunted Boltzmann.

Today, Boltzmann’s factor, which calculates the probability that a system of particles can be found in a specific energy state relative to zero energy, is widely used in physics. For example, Boltzmann’s factor is used to perform calculations on the world’s largest supercomputers to study the behavior of atoms, molecules, and the quark “soup” discovered using facilities such as the Relativistic Heavy Ion Collider located at Brookhaven Lab and the Large Hadron Collider at CERN.

Jan 23, 2020

AlphaGo Zero: Google DeepMind supercomputer learns 3,000 years of human knowledge in 40 days

Posted by in categories: robotics/AI, supercomputing

Circa 2017

Thousands of years of human knowledge has been learned and surpassed by the world’s smartest computer in just 40 days, a breakthrough hailed as one of the greatest advances ever in artificial intelligence.

Google DeepMind amazed the world last year when its AI programme AlphaGo beat world champion Lee Sedol at Go, an ancient and complex game of strategy and intuition which many believed could never be cracked by a machine.

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Jan 17, 2020

Google’s Sycamore beats top supercomputer to achieve ‘quantum supremacy’

Posted by in categories: quantum physics, supercomputing

The achievement is an important milestone in quantum computing, Google’s scientists said.

Jan 16, 2020

AI-Designed ‘Living Robots’ Crawl, Heal Themselves

Posted by in categories: biotech/medical, robotics/AI, supercomputing

Biological organisms have certain useful attributes that synthetic robots do not, such as the abilities to heal, adapt to new situations, and reproduce. Yet molding biological tissues into robots or tools has been exceptionally difficult to do: Experimental techniques, such as altering a genome to make a microbe perform a specific task, are hard to control and not scalable.

Now, a team of scientists at the University of Vermont and Tufts University in Massachusetts has used a supercomputer to design novel lifeforms with specific functions, then built those organisms out of frog cells.

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Dec 24, 2019

First chip-to-chip quantum teleportation harnessing silicon photonic chip fabrication

Posted by in categories: internet, particle physics, quantum physics, supercomputing

The development of technologies which can process information based on the laws of quantum physics are predicted to have profound impacts on modern society.

For example, quantum computers may hold the key to solving problems that are too complex for today’s most powerful supercomputers, and a quantum internet could ultimately protect the worlds information from malicious attacks.

However, these technologies all rely on “,” which is typically encoded in single quantum particles that are extremely difficult to control and measure.

Dec 17, 2019

Google claimed quantum supremacy in 2019 — and sparked controversy

Posted by in categories: quantum physics, supercomputing

Google’s quantum computer outperformed the most powerful supercomputer on a task, the company reported. But some scientists aren’t fully convinced.

Nov 8, 2019

Google’s Sycamore breakthrough doesn’t spell the end for China’s hopes of winning quantum computer race

Posted by in categories: quantum physics, supercomputing

After the US tech giant announced it had developed a chip that dramatically outperformed supercomputers, Chinese researchers remain confident they can find the ‘holy grail’ of technology.

Nov 3, 2019

The Next Computer Revolution Will Be Based on Our Brains

Posted by in categories: internet, mobile phones, robotics/AI, supercomputing

Think of the human brain as an immensely powerful supercomputer. But as one of the most complex systems in Nature, there’s still much to learn about how it works. That’s why researchers from the Human Brain Project are attempting to unravel even more of its mysteries. However, most neuroscientists still believe that consciousness is generated in our brains, trying to justify their chosen profession as the only key to our experience of the world. It is not. We humans don’t live in a vacuum, we are not “brains in a vat,” so to speak. Just like your smartphone, your brain is a ‘bio’-logical computing device of your mind, an interface into physical reality. Our minds are connected to the broader mind-network, as computers in the Cloud. Consciousness is “non-local” Cloud, our brain-mind systems are receivers, processors and transmitters of information within that Cloud. So, a truly multidisciplinary and computationalist approach is required to crack the neural code and reverse-engineer consciousness in AI and cybernetic systems. We shouldn’t be surprised if all that hype about testing for the “seat of consciousness” could only end up refining our understanding of neural correlates — not how consciousness originates in the brain because it’s not its origin there. The Internet or a cellular network is not generated by your smartphone — only processed by it. Species-wide mind-networks are ubiquitous in Nature. What’s different with humans is that the forthcoming cybernetic mediation could become synthetic telepathy and beyond that — the emergence of one global mind, the Syntellect Emergence (cf. The Syntellect Hypothesis) #consciousness #HumanBrainProject

In episode four of Bloomberg’s Moonshot, see how 500 scientists in 100 universities are spending $1.1 billion on the Human Brain Project.

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