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c Department of Chemical Biology, Xiamen University, Xiamen, 361,005, China.

The concept of xeno-nucleic acids (XNAs) was first proposed in 2009 in a theoretical paper, referring to additional types of nucleic acids, whose sugar moieties would differ from those in DNA and RNA. However, with the rising popularity of XNAs, the definition of XNAs has been extended to unnatural nucleic acids with chemically modified sugar, nucleobase, or phosphate moieties that are distinct from those found in DNA and RNA. The discovery and engineering of both polymerases and reverse transcriptases to synthesize, replicate and evolve a diverse range of XNAs has attracted significant attention and has enabled the discovery of XNA ligands (aptamers) and XNA catalysts (XNAzymes) as well as the synthesis of XNA nanostructures with potential as novel therapeutics. The field of XNAs continues to grow rapidly towards realizing the potential of XNAs in biotechnology and molecular medicine. This themed issue unites a collection of articles attesting to the rapid progress in the field.

One of the key advantages of XNAs is their generally enhanced resistance to nuclease degradation. This biostability, the affinity and specificity towards a target, and the general lack of immunogenicity of modified nucleic acids are critical for their potential application as therapeutics. Modified sugar moieties such as 2′-modified analogs, conformationally locked analogs, and threose-replaced analogs in particular contribute to the increased biological stability of XNAs against enzymatic degradation. Replacing the phosphodiester linkages with charge-neutral backbones including peptide-like backbones and triazole-linked backbones offers further opportunities to tune the stability, conformation and physicochemical properties of XNAs and enhance the affinity to their targets.

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A quantum computational solution for engineering materials. Researchers at Argonne explore the possibility of solving the electronic structures of complex molecules using a quantum computer. If you know the atoms that compose a particular molecule or solid material, the interactions between those atoms can be determined computationally, by solving quantum mechanical equations — at least, if the molecule is small and simple. However, solving these equations, critical for fields from materials engineering to drug design, requires a prohibitively long computational time for complex molecules and materials.

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Poor, poor, Horizon Worlds. According to Facebook-turned-Meta CTO Andrew Bosworth, the company’s metaverse of dead-eyed avatars has been all but abandoned by Meta CEO Mark Zuckerberg — who, in an added blow, is instead said to be spending the bulk of his time chasing the investor-appeasing Silicon Valley squirrel that is generative AI.

“We’ve been investing in artificial intelligence for over a decade, and have one of the leading research institutes in the world,” Bosworth told Nikkei Asia in an interview on Wednesday. “We certainly have a large research organization, hundreds of people.”

“We just created a new team, the generative AI team, a couple of months ago; they are very busy,” he added. “It’s probably the area that I’m spending the most time [in], as well as Mark Zuckerberg and [Chief Product Officer] Chris Cox.”

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I ve been quite impressed so far. And, if they can be improved over night i would love to see it.

With long-term memory, language models could be even more specific – or more personal. MemoryGPT gives a first impression.

Right now, interaction with language models refers to single instances, e.g. in ChatGPT to a single chat. Within that chat, the language model can to some extent take the context of the input into account for new texts and replies.

In the currently most powerful version of GPT-4, this is up to 32,000 tokens – about 50 pages of text. This makes it possible, for example, to chat about the contents of a long paper. To find new solutions, developers can talk to a larger code database. The context window is an important building block for the practical use of large language models, an innovation made possible by Transformer networks.

Continue reading “MemoryGPT is like ChatGPT with long-term memory” | >

Fascinating proposal for methodology.

Models are scientific models, theories, hypotheses, formulas, equations, naïve models based on personal experiences, superstitions (!), and traditional computer programs. In a Reductionist paradigm, these Models are created by humans, ostensibly by scientists, and are then used, ostensibly by engineers, to solve real-world problems. Model creation and Model use both require that these humans Understand the problem domain, the problem at hand, the previously known shared Models available, and how to design and use Models. A Ph.D. degree could be seen as a formal license to create new Models[2]. Mathematics can be seen as a discipline for Model manipulation.

But now — by avoiding the use of human made Models and switching to Holistic Methods — data scientists, programmers, and others do not themselves have to Understand the problems they are given. They are no longer asked to provide a computer program or to otherwise solve a problem in a traditional Reductionist or scientific way. Holistic Systems like DNNs can provide solutions to many problems by first learning about the domain from data and solved examples, and then, in production, to match new situations to this gathered experience. These matches are guesses, but with sufficient learning the results can be highly reliable.

Continue reading “The Red Pill of Machine Learning” | >

In an advance they consider a breakthrough in computational chemistry research, University of Wisconsin–Madison chemical engineers have developed model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes—potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.

Catalyst materials accelerate without undergoing changes themselves. They are critical for refining petroleum products and for manufacturing pharmaceuticals, plastics, food additives, fertilizers, green fuels, industrial chemicals and much more.

Scientists and engineers have spent decades fine-tuning catalytic reactions—yet because it’s currently impossible to directly observe those reactions at the and pressures often involved in industrial-scale catalysis, they haven’t known exactly what is taking place on the nano and atomic scales. This new research helps unravel that mystery with potentially major ramifications for industry.

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Researchers have discovered that in the exotic conditions of the early universe, waves of gravity may have shaken space-time so hard that they spontaneously created radiation.

The physical concept of resonance surrounds us in everyday life. When you’re sitting on a swing and want to go higher, you naturally start pumping your legs back and forth. You very quickly find the exact right rhythm to make the swing go higher. If you go off rhythm then the swing stops going higher. This particular kind of phenomenon is known in physics as a parametric resonance.

Your legs act as an external pumping mechanism. When they match the resonant frequency of the system, in this case your body sitting on a swing, they are able to transfer energy to the system making the swing go higher.

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Origami robots are autonomous machines that are constructed by folding two-dimensional materials into complex, functional three-dimensional structures. These robots are highly versatile. They can be designed to perform a wide range of tasks, from manipulating small objects to navigating difficult terrain. Their compact size and flexibility allow them to move in ways that traditional robots cannot, making them ideal for use in environments that are hard to reach.

Another notable feature of origami-based robots is their low cost. Because they are constructed using simple materials and techniques, they can be produced relatively inexpensively. This makes them an attractive option for many researchers and companies looking to develop new robotics applications.

There are many potential applications for origami robots. They could be used in search and rescue missions, where their small size and flexibility would allow them to navigate through rubble and debris. They could also be used in manufacturing settings, where their ability to manipulate small objects could be put to use in assembly lines.

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Continue reading “Resting Heart Rate, Heart Rate Variability: Is Q1 2023 Better Than 2022?” | >

Retrocausality, a mind-blowing quantum concept, proposes that future events impact the past. Challenging time’s traditional flow and exploring interconnected temporal relationships. Can the universe communicate with its past-self?

0:00 What is Retrocausality?
00:55 The Layers of the Universe.
02:17 The Universe Is Not Real.
04:32 The Role of Quantum Entanglement.
08:02 Does Time Travel Explain the Mysteries of the Universe?

#retrocausality #timetravel #quantummechanics.

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Continue reading “Why Physicists Think The Future Changes the Past — Retrocausality Explained” | >