Bioacoustic technology detects early tuberculosis, transforming remote healthcare.
Google partners with Salcit Technologies to bring AI-powered disease detection to smartphones using 300 million audio samples.
Starship underperforms by 50%. Yikes!
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“For equities, all attention is now on Nvidia’s earnings release tonight, which has helped to drive significant moves recent quarters,” Deutsche Bank strategists said in a note Wednesday morning. “Bear in mind that Nvidia’s share price is already up +159% on a YTD basis, making it the top performer in the entire S&P 500, and it has risen by more than +1000% since its low in October 2022.”
Traders are also waiting on comments from Atlanta Fed President Raphael Bostic, who’s scheduled to speak after the closing bell. His remarks could provide more guidance on the path of Fed rate cuts this year, with investors pricing in as many as 150 basis points worth of cuts by year-end, according to the CME FedWatch tool.
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An exploration of new findings regarding the last universe common ancestor of life, or LUCA, and abiogenesis in general.
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From the article:
I’m also worried that being on A.I.’s bad side could have dire consequences.
Today’s chatbots mostly seem like harmless assistants and homework helpers.
When I set out to improve my tainted reputation with chatbots, I discovered a new world of A.I. manipulation.
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Image: Prof Thomas Hartung.
Over just a few decades, computers shrunk from massive installations to slick devices that fit in our pockets. But this dizzying trend might end soon, because we simply can’t produce small enough components. To keep driving computing forward, scientists are looking for alternative approaches. An article published in Frontiers in Science presents a revolutionary strategy, called organoid intelligence.
Metamaterials have recently garnered substantial research interest as they can be engineered to achieve materials properties not found in nature, thus presenting unique opportunities across various fields. In order to facilitate the rational design of metamaterials, computational methods have been widely employed, but not without numerous challenges yet to be addressed. This Focus highlights recent advancements, challenges, and opportunities in computational models for metamaterials design and manufacturing, as well as explores their potential promises in emerging information processors and computing technologies.
The simplified approach makes it easier to see how neural networks produce the outputs they do.