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Dec 14, 2024

100-million-year-old Ancient Sea Lizards Killed And Ate Each Other

Posted by in categories: biological, evolution

Mosasaurs are extinct marine reptiles that dominated Earth’s oceans during the Late Cretaceous period.


Mosasaurs, extinct marine reptiles that dominated Earth’s oceans during the Late Cretaceous period, have fascinated scientists since their discovery in 1766 near Maastricht, Netherlands. These formidable lizards are iconic examples of macroevolution, showcasing the emergence of entirely new animal groups.

Michael Polcyn, a paleontologist from Utrecht University, has presented the most comprehensive study yet on their early evolution, ecology, and feeding biology. His findings, aided by advanced imaging technologies, provide fresh insights into the origins, relationships, and behaviors of these ancient giants.

Dec 14, 2024

Odd, slowly repeating radio bursts traced to red dwarf star

Posted by in categories: biotech/medical, genetics

Microorganisms produce a wide variety of natural products that can be used as active ingredients to treat diseases such as infections or cancer. The blueprints for these molecules can be found in the microbes’ genes, but often remain inactive under laboratory conditions.

A team of researchers at the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) has now developed a genetic method that leverages a natural bacterial mechanism for the transfer of genetic material and uses it for the production of new active ingredients. The team has published its results in the journal Science.

Continue reading “Odd, slowly repeating radio bursts traced to red dwarf star” »

Dec 14, 2024

Nanopatterned graphene enables infrared ‘color’ detection and imaging

Posted by in categories: materials, nanotechnology

University of Central Florida (UCF) researcher Debashis Chanda, a professor at UCF’s NanoScience Technology Center, has developed a new technique to detect long wave infrared (LWIR) photons of different wavelengths or “colors.”

The research was recently published in Nano Letters.

The new detection and imaging technique will have applications in analyzing materials by their spectral properties, or spectroscopic imaging, as well as thermal imaging applications.

Dec 14, 2024

Mathematicians Casually Discovered Two New Infinities

Posted by in category: mathematics

The possibilities might be endless—literally.

Dec 14, 2024

Molecular motors put significant twists to DNA loops

Posted by in categories: biotech/medical, evolution, nanotechnology, neuroscience

Astrocytes are star-shaped glial cells in the central nervous system that support neuronal function, maintain the blood-brain barrier, and contribute to brain repair and homeostasis. The evolution of these cells throughout the progression of Alzheimer’s disease (AD) is still poorly understood, particularly when compared to that of neurons and other cell types.

Researchers at Massachusetts General Hospital, the Massachusetts Alzheimer’s Disease Research Center, Harvard Medical School and Abbvie Inc. set out to fill this gap in the literature.

Their paper, published in Nature Neuroscience, provides one of the most detailed accounts to date of how different astrocyte subclusters respond to AD across different brain regions and disease stages, providing valuable insights into the cellular dynamics of the disease.

Dec 14, 2024

Large language models surpass human experts in predicting neuroscience results

Posted by in categories: futurism, neuroscience

Large language models (LLMs) can synthesize vast amounts of information. Luo et al. show that LLMs—especially BrainGPT, an LLM the authors tuned on the neuroscience literature—outperform experts in predicting neuroscience results and could assist scientists in making future discoveries.

Dec 14, 2024

Scientists develop material with almost perfect water repellency

Posted by in categories: biotech/medical, materials

Scientists from Karlsruhe Institute of Technology (KIT) and the Indian Institute of Technology Guwahati (IITG) have developed a surface material that repels water droplets almost completely. Using an entirely innovative process, they changed metal-organic frameworks (MOFs)—artificially designed materials with novel properties—by grafting hydrocarbon chains.

The resulting superhydrophobic (extremely water-repellent) properties are interesting for use as self-cleaning surfaces that need to be robust against environmental influences, such as on automobiles or in architecture. The study was published in the journal Materials Horizons.

MOFs () are composed of metals and organic linkers that form a network with empty pores resembling a sponge. Their volumetric properties—unfolding two grams of this material would yield the area of a football pitch—make them an interesting material in applications such as gas storage, carbon dioxide separation, or novel medical technologies.

Dec 14, 2024

A keener eye for the invisible

Posted by in categories: robotics/AI, sustainability, transportation

From smart textiles to self-driving cars: Empa researchers are developing new types of detectors for infrared radiation that are more sustainable, flexible and cost-effective than conventional technologies. The key to success is not (only) the composition of the material, but also its size.

Dec 14, 2024

Revolutionizing Silicon Photonics: GeSn-Based Continuous-Wave Lasers

Posted by in category: futurism

This study explores the development of Group-IV semiconductor lasers for cryogenic applications, demonstrating continuous-wave operation at low current densities and highlighting the potential for integration into silicon-based photonic systems.

Dec 14, 2024

Ilya Sutskever “Superintelligence is Self Aware, Unpredictable and Highly Agentic” | NeurIPS 2024

Posted by in category: robotics/AI

What do we think?


The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

Continue reading “Ilya Sutskever ‘Superintelligence is Self Aware, Unpredictable and Highly Agentic’ | NeurIPS 2024” »

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