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Nov 5, 2023

Isaac Asimov Predicts The Future In 1982. Was He Correct?

Posted by in categories: ethics, internet, law, mathematics, robotics/AI

Dr. Isaac Asimov was a prolific science fiction author, biochemist, and professor. He was best known for his works of science fiction and for his popular science essays. Born in Russia in 1920 and brought to the United States by his family as a young child, he went on to become one of the most influential figures in the world of speculative fiction. He wrote hundreds of books on a variety of topics, but he’s especially remembered for series like the “Foundation” series and the “Robot” series.
Asimov’s science fiction often dealt with themes and ideas that pertained to the future of humanity.

The “Foundation” series for example, introduced the idea of “psychohistory” – a mathematical way of predicting the future based on large population behaviors. While we don’t have psychohistory as described by Asimov, his works did reflect the belief that societies operate on understandable and potentially predictable principles.

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Nov 4, 2023

Will There Be A Nobel Prize For AI?

Posted by in categories: biotech/medical, chemistry, economics, mathematics, robotics/AI

The Nobel Awards Season just ended, with the “Oscars of Science” awarded to some of the world’s brightest minds. The entire science world was watching, and just like with the Oscars, there was an element of suspense, drama, envy, celebration, and happiness. Most of the Nobel Laureates are also phenomenal speakers and communicators with decades of teaching experience, and thousands of people across the world are glued to their monitors to hear their inspiring stories. The Nobel Prizes are awarded in Physics, Chemistry, Physiology or Medicine, Literature, Peace, and Economic Sciences. Unfortunately, there is no Nobel Prize for Computer Science, Mathematics, or Engineering. So, it seems like it… More.


While there is no Nobel Prize for AI, Jumper and Hassabis may be the frontrunners for a Nobel Prize in Chemistry for their discovery of AlphaFold.

Nov 3, 2023

UMBC Team Makes First-ever Observation Of A Virus Attaching To Another Virus: University Of Maryland, Baltimore County

Posted by in categories: biotech/medical, mathematics

In a paper published in the Journal of the International Society of Microbial Ecology, a UMBC team and colleagues from Washington University in St. Louis (WashU) describe the first observation of a satellite bacteriophage (a virus that infects bacterial cells) consistently attaching to a helper bacteriophage at its “neck”—where the capsid joins the tail of the virus.

In detailed electron microscopy images taken by Tagide deCarvalho, assistant director of the College of Natural and Mathematical Sciences core facilities and first author on the new paper, 80 percent (40 out of 50) helpers had a satellite bound at the neck. Some of those that did not had remnant satellite tendrils present at the neck. Erill, senior author on the paper, describes them as appearing like “bite marks.”

“When I saw it, I was like, ‘I can’t believe this,’” deCarvalho says. “No one has ever seen a bacteriophage—or any other virus—attach to another virus.”

Oct 28, 2023

New Math Shows When Solar Systems Become Unstable

Posted by in categories: mathematics, space

Now, in three papers that together exceed 150 pages, Guàrdia and two collaborators have proved for the first time that instability inevitably arises in a model of planets orbiting a sun.

“The result is really very spectacular,” said Gabriella Pinzari, a mathematical physicist at the University of Padua in Italy. “The authors proved a theorem that is one of the most beautiful theorems that one could prove.” It could also help explain why our solar system looks the way it does.

Oct 22, 2023

New 3D-printed tumor model enables faster, less expensive and less painful cancer treatment

Posted by in categories: bioprinting, biotech/medical, computing, mathematics

An international team of interdisciplinary researchers has successfully created a method for better 3D modeling of complex cancers. The University of Waterloo-based team combined cutting-edge bioprinting techniques with synthetic structures or microfluidic chips. The method will help lab researchers more accurately understand heterogeneous tumors: tumors with more than one kind of cancer cell, often dispersed in unpredictable patterns.

The research, “Controlled tumor heterogeneity in a co-culture system by 3D bio-printed tumor-on-chip model,” appears in Scientific Reports.

Traditionally, would biopsy a patient’s tumor, extract cells, and then grow them in flat petri dishes in a lab. “For 50 years, this was how biologists understood tumors,” said Nafiseh Moghimi, an post-doctoral researcher and the lead author of the study. “But a decade ago, repeated treatment failures in made scientists realize that a 2D model does not capture the real tumor structure inside the body.”

Oct 20, 2023

Möbius Mystery Solved By Mathematician After 5 Decades

Posted by in category: mathematics

Möbius strips are fun geometrical shapes that only have one side. Take a strip of paper – it’s got a front and a back. Now twist it and glue the two short edges together. Suddenly there is no front or back. You could draw a line across its whole surface without having to lift the pencil from the paper. Forty-six years ago mathematicians suggested the minimum size for such a strip but they couldn’t prove it. Now, someone finally has.

Since the creation of the strip by August Ferdinand Möbius and Johann Benedict Listing, its simplicity in making and visualizing it had to be balanced with the mathematical complexity of such a shape. It is not surprising that in 1977, Charles Sidney Weaver and Benjamin Rigler Halpern created the Halpern-Weaver Conjecture, which stated the minimal ratio between the width of the strip and its length. They suggested that for a strip with a width of 1 centimeter (0.39 inches), the length had to be at least the square root of 3 centimeters (about 1.73 centimeters or 0.68 inches).

For smooth Möbius strips that are “embedded”, meaning they don’t intersect with each other, the conjecture had no solution. If the strip can go through itself, it is a much easier problem to solve, Brown University’s mathematician Richard Evan Schwartz proposed in 2020 – but he had made a mistake. In a paper posted as a preprint – meaning it is yet to be subjected to peer review – Schwartz corrected the error and found the right solution for the conjecture.

Oct 20, 2023

Thirty Years Later, a Speed Boost for Quantum Factoring

Posted by in categories: computing, information science, mathematics, quantum physics, security

As Shor looked for applications for his quantum period-finding algorithm, he rediscovered a previously known but obscure mathematical theorem: For every number, there exists a periodic function whose periods are related to the number’s prime factors. So if there’s a number you want to factor, you can compute the corresponding function and then solve the problem using period finding — “exactly what quantum computers are so good at,” Regev said.

On a classical computer, this would be an agonizingly slow way to factor a large number — slower even than trying every possible factor. But Shor’s method speeds up the process exponentially, making period finding an ideal way to construct a fast quantum factoring algorithm.

Shor’s algorithm was one of a few key early results that transformed quantum computing from an obscure subfield of theoretical computer science to the juggernaut it is today. But putting the algorithm into practice is a daunting task, because quantum computers are notoriously susceptible to errors: In addition to the qubits required to perform their computations, they need many others doing extra work to keep them from failing. A recent paper by Ekerå and the Google researcher Craig Gidney estimates that using Shor’s algorithm to factor a security-standard 2,048-bit number (about 600 digits long) would require a quantum computer with 20 million qubits. Today’s state-of-the-art machines have at most a few hundred.

Oct 16, 2023

So AI is “Slightly Conscious” Now?

Posted by in categories: information science, mathematics, robotics/AI, space

The new book Minding the Brain from Discovery Institute Press is an anthology of 25 renowned philosophers, scientists, and mathematicians who seek to address that question. Materialism shouldn’t be the only option for how we think about ourselves or the universe at large. Contributor Angus Menuge, a philosopher from Concordia University Wisconsin, writes.

Neuroscience in particular has implicitly dualist commitments, because the correlation of brain states with mental states would be a waste of time if we did not have independent evidence that these mental states existed. It would make no sense, for example, to investigate the neural correlates of pain if we did not have independent evidence of the existence of pain from the subjective experience of what it is like to be in pain. This evidence, though, is not scientific evidence: it depends on introspection (the self becomes aware of its own thoughts and experiences), which again assumes the existence of mental subjects. Further, Richard Swinburne has argued that scientific attempts to show that mental states are epiphenomenal are self-refuting, since they require that mental states reliably cause our reports of being in those states. The idea, therefore, that science has somehow shown the irrelevance of the mind to explaining behavior is seriously confused.

The AI optimists can’t get away from the problem of consciousness. Nor can they ignore the unique capacity of human beings to reflect back on themselves and ask questions that are peripheral to their survival needs. Functions like that can’t be defined algorithmically or by a materialistic conception of the human person. To counter the idea that computers can be conscious, we must cultivate an understanding of what it means to be human. Then maybe all the technology humans create will find a more modest, realistic place in our lives.

Oct 16, 2023

Saturday Citations: Gravitational waves, time travel and the simulated universe hypothesis

Posted by in categories: alien life, computing, mathematics, physics, time travel

This week, researchers proved empirically that life isn’t fair. Also, you’ll notice that, in a superhuman display of restraint, I managed to write a paragraph about the simulated universe hypothesis without once referencing “The Matrix.” (Except for this reference.)

Oh, so a European research team has proven that flipped coins aren’t actually fair? Buddy, life isn’t fair! Do you think the world owes you two equally probable outcomes as established by an axiomatic mathematical formalization? When I was a kid, we didn’t even have coins! We had to roll dice! It took 10 minutes to start a football game! Oh, so a coin is very slightly more likely to land on the same face as its initial position? Quit crying! It’s only a meaningful bias if you flip a coin multiple times!

Applying a recently discovered physical law, a physicist at the University of Portsmouth has contributed to the discussion about whether or not the universe is a simulation. The simulated universe hypothesis proposes that the universe is actually a simulation running on a vastly complex computing substrate and we’re therefore all just NPCs, walking through our animation loops and saying, “Hail, summoner! Conjure me up a warm bed!” and “Do you get to the Cloud District often?”

Oct 13, 2023

Could AI communicate with aliens better than we could?

Posted by in categories: alien life, mathematics, robotics/AI

Consider the potential problems. Number one would be that any potential aliens we encounter won’t be speaking a human language. Number two would be the lack of knowledge about the aliens’ culture or sociology — even if we could translate, we might not understand what relevance it has to their cultural touchstones.

Eamonn Kerins, an astrophysicist from the Jodrell Bank Centre for Astrophysics at the University of Manchester in the U.K., thinks that the aliens themselves might recognize these limitations and opt to do some of the heavy lifting for us by making their message as simple as possible.

“One might hope that aliens who want to establish contact might be attempting to make their signal as universally understandable as possible,” said Kerins in a Zoom interview. “Maybe it’s something as basic as a mathematical sequence, and already that conveys the one message that perhaps they hoped to send in the first place, which is that we’re here, you’re not alone.”

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