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AI brain that 'never stops learning' learns to walk with a broken leg

AI brain that never stops learning learns to walk with a broken leg in breakthrough
Researchers have developed a groundbreaking new system that allows AI robots to continuously learn and adapt, similar to a human brain. It was tested by breaking a robotic leg
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Mastering Atari, Go, chess and shogi by planning with a learned model

Mastering Atari, Go, chess and shogi by planning with a learned model
nature.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from nature.com Daily Mail and Mail on Sunday newspapers.

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With Machine Learning, Indian American Scientist Discovers New Way to Filter Fake News

NEW YORK â Using machine learning, a team of U.S. researchers led by Indian American computer scientist Anshumali Shrivastava at Rice University has discovered an efficient way for social media companies to keep misinformation from spreading online.
Their method applies machine learning in a smarter way to improve the performance of Bloom filters, a widely used technique devised a half-century ago.
Using test databases of fake news stories and computer viruses, Shrivastava and statistics graduate student Zhenwei Dai showed their Adaptive Learned Bloom Filter required 50 percent less memory to achieve the same level of performance as learned Bloom filters.
To explain their filtering approach, Shrivastava and Dai cited some data from Twitter. ....

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AITRICS is an AI-driven Sepsis Detection Startup

SEOUL, South Korea–(BUSINESS WIRE)–
AITRICS, a medical software company, announces VitalCare, an early detection and prevention management solution for use in Intensive Care Units (ICU).
VitalCare is a suite of software that monitors the electronic medical records of a patient in real-time. Therefore, it detects and prognoses potential risks involving an acute form of pyelonephritis, pulmonary embolism, sudden cardiac arrest, or sepsis in advance, to mitigate or significantly reduce the rate of mortality.
The product was developed through years of collaborative research and development efforts with Yonsei Medical Center, one of the nation’s premier research hospitals.
At the core, it enables an “Uncertainty-Aware” attention mechanism using a proprietary artificial intelligence engine. It consists of unique Bayesian Deep-Learning and Meta-Learning techniques. These techniques are employed to accomplish high accuracy in an uncertainty model development with ....

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Artificial Intelligence that can run a simulation faithful to physical laws

Credit: Takashi Matsubara
A research group led by Associate Professor YAGUCHI Takaharu (Graduate School of System Informatics) and Associate Professor MATSUBARA Takashi (Graduate School of Engineering Science, Osaka University) have succeeded in developing technology to simulate phenomena for which the detailed mechanism or formula are unexplained. They did this by using artificial intelligence (AI) to create a model, which is faithful to the laws of physics, from observational data.
It is hoped that this development will make it possible to predict phenomena that have been difficult to simulate up until now because their detailed underlying mechanisms were unknown. It is also expected to increase the speed of the simulations themselves. ....

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