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Thus, a complete understanding of quantum transport requires the ability to simulate and probe macroscopic and microscopic physics on equal footing.

Researchers from Singapore and China have utilized a superconducting quantum processor to examine the phenomenon of quantum transport in unprecedented detail.

Gaining deeper insights into quantum transport—encompassing the flow of particles, magnetization, energy, and information through quantum channels—has the potential to drive significant innovations in next-generation technologies such as nanoelectronics and thermal management.

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Classical biomedical data science models are trained on a single modality and aimed at one specific task. However, the exponential increase in the size and capabilities of the foundation models inside and outside medicine shows a shift toward task-agnostic models using large-scale, often internet-based, data. Recent research into smaller foundation models trained on specific literature, such as programming textbooks, demonstrated that they can display capabilities similar to or superior to large generalist models, suggesting a potential middle ground between small task-specific and large foundation models. This study attempts to introduce a domain-specific multimodal model, Congress of Neurological Surgeons (CNS)-Contrastive Language-Image Pretraining (CLIP), developed for neurosurgical applications, leveraging data exclusively from Neurosurgery Publications.

METHODS:

We constructed a multimodal data set of articles from Neurosurgery Publications through PDF data collection and figure-caption extraction using an artificial intelligence pipeline for quality control. Our final data set included 24 021 figure-caption pairs. We then developed a fine-tuning protocol for the OpenAI CLIP model. The model was evaluated on tasks including neurosurgical information retrieval, computed tomography imaging classification, and zero-shot ImageNet classification.

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When exposed to periodic driving, which is the time-dependent manipulation of a system’s parameters, quantum systems can exhibit interesting new phases of matter that are not present in time-independent (i.e., static) conditions. Among other things, periodic driving can be useful for the engineering of synthetic gauge fields, artificial constructs that mimic the behavior of electromagnetic fields and can be leveraged to study topological many-body physics using neutral atom quantum simulators.

Researchers at Ludwig-Maximilians-Universität, Max Planck Institute for Quantum Optics and Munich Center for Quantum Science and Technology (MCQST) recently realized a strongly interacting phase of matter in large-scale bosonic flux ladders, known as the Mott-Meissner phase, using a neutral atom quantum simulator. Their paper, published in Nature Physics, could open new exciting possibilities for the in-depth study of topological quantum matter.

“Our work was inspired by a long-standing effort across the field of neutral atom quantum simulation to study strongly interacting phases of matter in the presence of magnetic fields,” Alexander Impertro, first author of the paper, told Phys.org. “The interplay of these two ingredients can create a variety of quantum many-body phases with exotic properties.

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Researchers at the Francis Crick Institute have shown that gonadotrophs, cells in the pituitary gland with a key role in puberty and reproduction, come from two different populations, with the majority produced after birth rather than in the embryo, as previously thought.

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Today we’re taking a tour through some of the weirdest civilisations in science fiction.

🚀 Free Sci-Fi Ebook! Get a FREE copy of my dystopian thriller “A Figure Zero” when you sign up for my newsletter! 📖 👉 Claim your free ebook here and get exclusive updates on my upcoming books! 📚 https://shorturl.at/LT2y4

0:00 — intro.
0:48 — Eden by Stanisław Lem.
2:36 — The Child Garden by Geoff Ryman.
4:17 — The Mote in God’s Eye by Larry Niven & Jerry Pournelle.
5:50 — The Gods Themselves by Isaac Asimov.
7:27 — Honourable Mentions:
Embassytown by China Miéville.
City by Clifford D. Simak.
Engine Summer by John Crowley.
9:44 — A Deepness in the Sky by Vernor Vinge.

#scifi #weird #books.

🚀 Check out my sci-fi novels below 😊

DELPHINE DESCENDS 📖 — (Amazon link) https://shortlink.uk/P59l.

Continue reading “5 Weird Civilisations Sci-Fi Books You Need to Read” | >

You thought the Forerunners or the Galactic Empire were advanced? Check out these 5 races from popular science fiction which make Star Wars and Halo look like the stone age!

On today’s Science Fiction Top 5 episode, we’re counting the 5 most advanced races, factions or civilizations within sci-fi. Included on this list are the Time Lords from Dr. Who, the Xeelee, the Culture and more!

Like this video, and maybe one or more of these races will appear in a future Who Would Win or Galactic Versus episode!

***
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Continue reading “The 5 Most Advanced Races & Factions in Science Fiction | Sci-Fi Top 5” | >

This is the weapon that will destroy our solar system in Season 3 of Netflix’s 3 Body Problem: the Dual-Vector Foil. It’s a Dimensional Strike deployed by a super advanced alien civilization called the Singers. Once activated, it expands at light speed, consuming everything in its path. It’s expected to be featured in Season 3 of Netflix’s 3 Body Problem series.

Music:
’The Summoning’ by Scott Buckley — released under CC-BY 4.0. www.scottbuckley.com.au.
@ScottBuckley.
There’s Life Out There — Cooper Cannell.
Jungle — Aakash Gandhi.
Atlantis by Audionautix is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/

Chapters:
00:00 Dimension Strike.
01:55 Dimensional Decay In Sci-Fi.
02:27 Bunker Era.
03:05 Dual-Vector Foil.
04:34 Why Use Dimension Weapons?
06:05 Nature of the Collapsing Universe.

Produced in part with SpaceEngine PRO © Cosmographic Software LLC.

Some 3D models are from NASA: https://nasa3d.arc.nasa.gov/models.

Textures:

Continue reading “Alien Superweapons: The Reality Flattener | 3 Body Problem” | >

Self-driving cars which eliminate traffic jams, getting a health care diagnosis instantly without leaving your home, or feeling the touch of loved ones based across the continent may sound like the stuff of science fiction.

But new research, led by the University of Bristol and published in the journal Nature Electronics, could make all this and more a step closer to reality thanks to a radical breakthrough in .

The futuristic concepts rely on the ability to communicate and transfer vast volumes of data much faster than existing networks. So physicists have developed an innovative way to accelerate this process between scores of users, potentially across the globe.

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