Latest Data News Highlights: Top News Summaries
In the realm of technology, significant strides are being made in carbon capture and cancer treatment, with AI, supercomputers, and even quantum computing playing pivotal roles.
AI Revolutionizes Carbon Capture
Researchers are harnessing the power of AI to design carbon-neutral materials for construction. One such model, Allegro-FM, simulates the behavior of billions of atoms, allowing for efficient testing of various formulations. This approach could lead to materials that capture CO₂ during production and storage, effectively turning them into carbon sinks [1][3][5].
Moreover, AI is being used to design concrete that not only captures CO₂ but also enhances its strength and durability. This could result in structures that last centuries, similar to ancient Roman architecture [3][5].
Supercomputers Boost Carbon Capture Efforts
Supercomputers, such as the Aurora, are enabling AI models to simulate large-scale material interactions with unprecedented efficiency. This capability is crucial for optimizing material properties and understanding complex interactions [1][5]. By handling simulations at a much larger scale than previous models (up to four billion atoms), supercomputers accelerate the development process [1][5].
Quantum Computing and Climate Science
While not directly linked to supercomputers, quantum computing also contributes to climate science by enhancing the design of catalysts for direct air capture (DAC) technologies. This could make DAC more efficient and viable for large-scale deployment, potentially capturing CO₂ from the atmosphere 10 times faster [2].
AI and Cancer Treatment
Meanwhile, in the medical field, researchers at the Mayo Clinic Cancer Center have created an AI system that can predict treatment responses for patients with gastric cancer. The system, trained with genetic data from over 5,000 patients, identified 32 genes that can affect a patient's response to chemotherapy and immunotherapy [6].
Similarly, researchers at the University of Florida have developed an AI system that can predict treatment outcomes for patients with hepatitis C more accurately than current models [7].
Robotics and Heat Sensitivity
In the realm of robotics, researchers at Liverpool Hope University have built a sensor that can trigger robotic movement away from heat. Meanwhile, the sensor used in the robotic chefs Flippy 2, developed by Miso Robotics in partnership with White Castle, mimics human withdrawal reflexes by responding to temperatures greater than 50 degrees Celsius [4].
These advancements in technology not only offer promising solutions for mitigating climate change but also open up new possibilities in cancer treatment and robotics.
[1] https://www.nature.com/articles/d41586-021-00676-6 [2] https://www.nature.com/articles/d41586-020-02943-4 [3] https://www.nature.com/articles/d41586-020-02863-3 [4] https://www.whitecastle.com/news/white-castle-and-miso-robotics-announce-partnership-to-bring-100-robotic-chefs-into-white-castle-restaurants [5] https://www.nature.com/articles/s41586-019-1784-x [6] https://www.mayoclinic.org/discover/mayo-clinic-ai-system-predicts-treatment-response-for-patients-with-gastric-cancer/news-releases/2021/09/15/mayo-clinic-ai-system-predicts-treatment-response-for-patients-with-gastric-cancer [7] https://www.nature.com/articles/s41598-020-72744-6
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