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Summary: Close and supportive parental relationships can help mitigate the genetic and environmental risk of developing alcohol use disorder for at-risk teens.

Source: state university of new york.

For teens at elevated risk of developing alcohol use disorder (AUD), close relationships with parents can help mitigate their genetic and environmental vulnerability, a new study suggests.

Abstract. Understanding adaptation to the local environment is a central tenet and a major focus of evolutionary biology. But this is only part of the adaptionist story. In addition to the external environment, one of the main drivers of genome composition is genetic background. In this perspective, I argue that there is a growing body of evidence that intra-genomic selective pressures play a significant part in the composition of prokaryotic genomes and play a significant role in the origin, maintenance and structuring of prokaryotic pangenomes.

With recent developments in language modeling (LM) research, machine-generated text applications have spread to a number of previously untapped domains. However, a significant issue remains that LM-generated text frequently contains factual errors or inconsistencies. This problem usually arises in any LM generation scenario, but it is particularly problematic when generation is performed in uncommon domains or when it requires up-to-date information that the LM was not trained on.

Retrieval-Augmented Language Modeling (RALM) methods, which display the LM pertinent documents from a grounded corpus during generation, offer a possible solution to this problem. Current RALM strategies concentrate on changing the LM architecture to include external data. However, this approach often makes deployment significantly complex. Working on this problem statement, AI21 Labs, an organization that develops artificial intelligence systems, introduced an alternative strategy called In-Context Retrieval-Augmented Language Modeling (In-Context RALM), which can supplement an existing language model with ready-made external information sources. The necessary files are added as input into the language model, which keeps the underlying LM architecture unaffected. The team published their findings in a research paper titled “In-Context Retrieval-Augmented Language Models.”

In the same publication, AI21 Labs also unveiled Wordtune Spices, an addition to their Wordtune text editor. Wordtune Spices is an artificial intelligence robot that helps authors swiftly generate text and create content, thereby accelerating the pace of the composition of academic papers, theses, and creative documents. Spices’ main principle is based on the In-context RALM technique. Users of Spices have access to 12 prompt alternatives, including explications, definitions, and even jokes. Users can select the prompt that best supports their use case and receive a string of supplemental sentences to bolster their case and provide further details.

Can a nuclear diamond battery change things as we know it, including what to do with nuclear waste?


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For most people, the idea of brain augmentation remains in the realms of science fiction. However, for scientists across the globe, it is fast becoming reality—with the possibility of humans with “super-intelligence” edging ever closer.

In laboratory experiments on rats, researchers have already been able to transfer memories from one brain to another. Future projects include the development of telepathic communication and the creation of “cyborgs,” where humans have advanced abilities thanks to technological interventions.

Scientists Mikhail Lebedev, Ioan Opris and Manuel Casanova have now published a comprehensive collection of research into brain augmentation, and their efforts have won a major European science research prize—the Frontiers Spotlight Award. This $100,000 prize is for the winners to set up a conference that highlights emerging research in their field.