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Genomes can be modelled with language approaches by treating nucleotide bases A, C, G and T like text, but there is no natural concept of what the words would be and whether there is even a ‘language’ to be learned this way. Sanabria et al. have developed a language model called GROVER that learns with a ‘vocabulary’ of genome sequences with byte-pair encoding, a method from text compression, and shows good performance on genome biological tasks.

It was discovered just 130 days before exploding using two telescopes in Hawaii, allowing a team of experts to investigate it before it exploded in a massive supernova.

“This is a breakthrough in our understanding of what massive stars do moments before they die,” said Dr. Wynn Jacobson-Galán, the study’s lead author.

Researchers have developed methods to explore and utilize superconductivity in non-equilibrium states, such as those induced by laser pulses, at temperatures much higher than traditional superconductors operate.

This light-induced superconductivity has been shown to replicate crucial features like zero electrical resistance and expulsion of magnetic fields, suggesting potential applications in high-speed devices and extending superconductivity to ambient temperatures.

Superconductivity is a remarkable phenomenon that enables a material to carry an electrical current with zero loss. This collective quantum behavior is unique to certain conductors and only occurs at temperatures significantly below room level.