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Category: biological – Page 85

Getting ready for artificial general intelligence with examples

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown.

This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work. While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly.

AGI, sometimes referred to as strong AI, is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. But, unlike humans, AGIs don’t experience fatigue or have biological needs and can constantly learn and process information at unimaginable speeds. The prospect of developing synthetic minds that can learn and solve complex problems promises to revolutionize and disrupt many industries as machine intelligence continues to assume tasks once thought the exclusive purview of human intelligence and cognitive abilities.

COVID-19 Research: Study reveals New Details about Potentially Deadly Inflammation

A recent USC study provides new information about why SARS-CoV-2, the virus behind the COVID-19 pandemic, may elicit mild symptoms at first but then, for a subset of patients, turn potentially fatal a week or so after infection. The researchers showed that distinct stages of illness correspond with the coronavirus acting differently in two different populations of cells.

The study, published in Nature Cell Biology, may provide a roadmap for addressing cytokine storms and other excessive immune reactions that drive serious COVID-19.

The team found that when SARS-CoV-2 infects its first-phase targets, cells in the lining of the lung, two viral proteins circulate within those cells—one that works to activate the immune system and a second that, paradoxically, blocks that signal, resulting in little or no inflammation.

Advanced Microscopy Technique Offers a New Look Inside Cells

Researchers in the Yale Department of Cell Biology have created a new microscopy technique that will help unlock the inner workings of cells 100 times faster than current technology allows – and at a fraction of the cost.

Writing in the journal Cell, the Yale team says their FLASH-PAINT technique…

While current microscopy techniques image only a few intracellular molecules at a time, a new technique developed by Yale scientists can help researchers.

Scientists Discover ‘Unusual’ Third Path to Multicellular Lifeforms

Just when scientists thought they had almost figured out the origins of multicellular life, evolution throws another curveball.

In a serendipitous discovery, a team of researchers has just chanced upon a third type of ‘unconventional’ multicellularity that blends the two kinds we already knew about.

Multicellularity has evolved a staggering 45 times or more across the tree of life. Yet fundamentally, the ancestor of each multicellular lineage relied on just one of two methods — individual cells sticking together as they split, or individual cells that have previously split coming back together.

Shape Matters in Self-Assembly

Many biological structures form through the self-assembly of molecular building blocks. A new theoretical study explores how the shape of these building blocks can affect the formation rate [1]. The simplified model shows that hexagonal blocks can form large structures much faster than triangular or square blocks. The results could help biologists explain cellular behavior, while also giving engineers inspiration for more efficient self-assembly designs.

Certain viruses and cellular structures are made from self-assembling pieces that can be characterized by geometrical shapes. For example, some types of bacteria host carboxysomes, which are icosahedral (20-face) compartments built up from self-assembling hexagonal and pentagonal subunits.

To investigate the role of shape, Florian Gartner and Erwin Frey from Ludwig Maximilian University of Munich simulated self-assembly of two-dimensional structures with three types of building blocks: triangles, squares, and hexagons. The model assumed that the blocks bind along their edges, but these interactions are reversible, meaning that the resulting structures can fall apart before growing very large. Gartner and Frey found that certain shapes were better than others at assembling into larger structures, as they tended to form intermediate structures with more bonds around each block. In particular, hexagonal blocks were the most efficient building material, forming 1000-piece structures at a rate that was 10,000 times faster than triangular blocks.

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