Bloomberg’s Mark Gurman breaks down what Dojo supercomputer project lead Ganesh Venkataramanan’s departure means for Tesla on Bloomberg Radio ——– Get more on The Tape Podcast On Apple: http://bit.ly/3YrBfOi On Spotify: http://bit.ly/3SPPZ8F Anywhere: http://bit.ly/43hOc0r
Give science some understanding on Brilliant! First 200 to use our link https://brilliant.org/sabine will get 20% off the annual premium subscription. My favo…
Cambridge researchers have identified magnetic monopoles in hematite, suggesting new possibilities for advanced, eco-friendly computing technologies. This first-time observation of emergent monopoles in a natural magnet could unlock new avenues in quantum material research.
Researchers have discovered magnetic monopoles – isolated magnetic charges – in a material closely related to rust, a result that could be used to power greener and faster computing technologies.
Researchers led by the University of Cambridge used a technique known as diamond quantum sensing to observe swirling textures and faint magnetic signals on the surface of hematite, a type of iron oxide.
Brain networks are often represented by graph models that incorporate neuroimaging data from MRI or CT scans to represent functional or structural connections within the brain. These brain graphs can be used to understand how the organ changes over time.
Traditionally, however, these models treat the brain graphs as static, which can miss or ignore underlying changes that could signal the onset of disease or neurological disorders.
A collaborative team of researchers led by Lifang He, an assistant professor of computer science and engineering at Lehigh University, recently received a $1 million grant from the National Science Foundation, with $300,000 going to Lehigh, to develop new methods for modeling the dynamics of brain graphs using artificial intelligence that will generate more accurate, interpretable, and fair predictions when it comes to disease.
There are already signs that an artificial superintelligence is coming. Discover what the future of AI might look like according to Life 3.0.
News, analysis and opinion from the Financial Times on the latest in markets, economics and politics.
Study by the Universities of Bonn and St. Andrews proposes a new possible explanation for the Hubble tension.
The universe is expanding. How fast it does so is described by the so-called Hubble-Lemaitre constant. But there is a dispute about how big this constant actually is: Different measurement methods provide contradictory values. This so-called “Hubble tension” poses a puzzle for cosmologists. Researchers from the Universities of Bonn and St. Andrews are now proposing a new solution: Using an alternative theory of gravity, the discrepancy in the measured values can be easily explained — the Hubble tension disappears. The study has now been published in the Monthly Notices of the Royal Astronomical Society (MNRAS).
Understanding the Universe’s Expansion.
A new AI model from Google—called Gemini—is fresh competition for OpenAI’s ChatGPT. The AI rivals are now working on even more radical ideas.
Scientists have made a pivotal advancement in creating compact laser technology using organic semiconductors. This development promises diverse applications, from enhancing OLED displays to aiding in disease detection and environmental monitoring. The new laser, which emits green light in short pulses, overcomes the traditional need for an external laser in organic semiconductor lasers. Credit: SciTechDaily.com.
Scientists have achieved a breakthrough in creating an electrically driven organic semiconductor laser, paving the way for advanced and versatile laser applications.
Researchers at the University of St. Andrews are leading a significant breakthrough in a decades-long challenge to develop compact laser technology.