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An algorithm originating from MIT assists in predicting the occurrence rate of severe weather conditions.

Algorithms, Artificial Intelligence, Climate, Climate change, Computer modeling, Defense Advanced Research Projects Agency (DARPA), Disaster response, Earth and atmospheric sciences, Environment, Fluid dynamics, Hurricanes, Machine learning, Mechanical engineering, Natural disasters, Planetary science, Research, School of Engineering, Uncategorized, WeatherJune 24, 202438Views0Likes0Comments
Researchers from the Massachusetts Institute of Technology (MIT) have developed a new method that can make long-term predictions regarding the risk of extreme weather events more accurate. The new technique combines machine learning with dynamical systems theory to make better predictions about extreme weather events such as floods and tropical cyclones in specific areas. Currently, policymakers…

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An algorithm developed by MIT assists in predicting the occurrence of severe weather conditions.

Algorithms, Artificial Intelligence, Climate, Climate change, Computer modeling, Defense Advanced Research Projects Agency (DARPA), Disaster response, Earth and atmospheric sciences, Environment, Fluid dynamics, Hurricanes, Machine learning, Mechanical engineering, Natural disasters, Planetary science, Research, School of Engineering, Uncategorized, WeatherJune 23, 202435Views0Likes0Comments
Policymakers usually depend on coarse-resolution global climate models to assess a community's risk of extreme weather. By looking decades and even centuries into the future, these models can predict large-scale weather patterns but struggle to provide specific data for smaller locations. To estimate the risk of an area such as Boston experiencing extreme weather events…

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Algorithm, developed from MIT, assists in predicting the occurrence rate of severe weather conditions.

Algorithms, Artificial Intelligence, Climate, Climate change, Computer modeling, Defense Advanced Research Projects Agency (DARPA), Disaster response, Earth and atmospheric sciences, Environment, Fluid dynamics, Hurricanes, Machine learning, Mechanical engineering, Natural disasters, Planetary science, Research, School of Engineering, Uncategorized, WeatherJune 23, 202437Views0Likes0Comments
Researchers at MIT have developed a method that improves the accuracy of predictions generated by climate models. The technique involves the use of machine learning and dynamical systems theory to make predictions from coarse climate models more accurate. These models, which are used to predict the impact of climate change including extreme weather events, work…

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An algorithm developed at MIT assists in predicting the occurrence rate of severe weather.

Algorithms, Artificial Intelligence, Climate, Climate change, Computer modeling, Defense Advanced Research Projects Agency (DARPA), Disaster response, Earth and atmospheric sciences, Environment, Fluid dynamics, Hurricanes, Machine learning, Mechanical engineering, Natural disasters, Planetary science, Research, School of Engineering, Uncategorized, WeatherJune 22, 202438Views0Likes0Comments
Scientists from MIT and the Pacific Northwest National Laboratory have developed a way to increase the accuracy of large-scale climate models, allowing for more precise predictions of extreme weather incidents in specific locations. Their process involves using machine learning in tandem with existing climate models to make the models' predictions closer to real-world observations. This…

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A novel approach to computer vision accelerates the screening process of electronic components.

3-D printing, Algorithms, Artificial Intelligence, Automation, Computer vision, Imaging, Machine learning, Materials science and engineering, Mechanical engineering, Renewable energy, Research, School of Engineering, Solar, Sustainability, UncategorizedJune 12, 202436Views0Likes0Comments
Solar cells, transistors, LEDs, and batteries with boosted performance require better electronic materials which are often discovered from novel compositions. Scientists have turned to AI tools to identify potential materials from millions of chemical formulations, with engineers developing machines that can print hundreds of samples at a time, based on compositions identified by AI algorithms.…

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The new model determines medications that should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedJune 5, 202436Views0Likes0Comments
Drug efficacy in humans can be heavily influenced by how it interacts with various digestive system transporters. Researchers at the Massachusetts Institute of Technology (MIT), Duke University, and Brigham and Women’s Hospital have developed a method that identifies the interactions between drugs and these transporters. These interactions can potentially result in adverse effects if two…

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The new model recognizes medications that should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedJune 5, 202436Views0Likes0Comments
Researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a machine-learning, multipronged strategy to identify which transporter proteins a drug uses to navigate through a patient's digestive tract. Knowledge in this area is key to improving drug efficacy and patient safety as drugs using the same transporter proteins can interfere with each…

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The new system pinpoints medicines that should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedJune 4, 202435Views0Likes0Comments
Discovering the transporters used by specific drugs can have profound impacts on patient care, and can also inform drug development. Drugs taken orally must pass through the digestive tract, and this often happens via transporter proteins. But, it's often unknown which transporter a certain drug uses to exit the digestive tract, and this could potentially…

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The latest model recognizes medications that should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedJune 3, 202441Views0Likes0Comments
Researchers from MIT, Brigham and Women’s Hospital, and Duke University have pioneered a multifaceted approach to determine the transporters used by various drugs to exit the digestive tract. Leveraging tissue models and machine-learning algorithms, the team has discovered that doxycycline (an antibiotic) and warfarin (a blood thinner) can interfere with each other’s absorption. All orally consumed…

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A methodology for enhancing the efficiency of versatile robots.

Aeronautical and astronautical engineering, Artificial Intelligence, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, Robots, School of Engineering, UncategorizedJune 3, 202432Views0Likes0Comments
MIT researchers have developed a technique to train robots on multiple tasks by combining and optimising data from a variety of sources. At the core of their work is a type of generative AI known as a 'diffusion model', which learns from a specific dataset to complete a task. However, the particular innovation here lies…

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The new framework pinpoints medications that should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedJune 3, 202437Views0Likes0Comments
Drugs taken orally must pass through the digestive tract, aided by transporter proteins found in the lining of the tract. If two drugs use the same transporter, they can interfere with each other. Addressing this issue, a team of researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a strategy to identify…

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