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A dataset for Artificial Intelligence paves fresh routes for identifying tornadoes.

Algorithms, Artificial Intelligence, Climate change, Data, Disaster response, Lincoln Laboratory, Machine learning, Natural disasters, Radar, Research, Technology and society, Uncategorized, Weather, Weather modelingAugust 5, 202462Views0Likes0Comments
The arrival of spring in the Northern Hemisphere brings with it the commencement of tornado season. Meteorologists use radar to track these dangerous natural phenomena, but understanding exactly when a tornado has formed or why can be a challenge. However, a new dataset may provide some answers. Known as TorNet, this dataset compiled by researchers from…

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To enhance the effectiveness of an AI assistant, begin by simulating the unpredictable actions of people.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 4, 202478Views0Likes0Comments
Scientists from the Massachusetts Institute of Technology (MIT) and the University of Washington have developed an approach to mechanically infer the computational weaknesses of an AI or human agent by observing prior activities. This perceptible agent’s "inference budget" can be used to predict future behavior. Used in forthcoming AI structures, the technique could allow them…

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A dataset related to artificial intelligence paves innovative ways for the detection of tornadoes.

Algorithms, Artificial Intelligence, Climate change, Data, Disaster response, Lincoln Laboratory, Machine learning, Natural disasters, Radar, Research, Technology and society, Uncategorized, Weather, Weather modelingAugust 4, 202467Views0Likes0Comments
Every spring, tornado season returns to the Northern Hemisphere. While the twisted funnel of a tornado may seem like an easily recognizable sight, it remains difficult for radar -- the primary tool of meteorologists -- to detect as they form. Predicting tornadoes also remains challenging, due to an unclear understanding of why they form. Over…

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To develop an improved AI assistant, begin by simulating the unpredictable actions of humans.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 4, 202467Views0Likes0Comments
Researchers at MIT and the University of Washington have developed a method to effectively model human behavior, accounting for the computational constraints that limit our decision-making abilities. This model, known as the "inference budget," enables predictions of an individual’s future actions based on their past behaviors. This is particularly useful in AI development, allowing machines…

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Begin developing a superior AI assistant by imitating the unpredictable actions of individuals.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 3, 202471Views0Likes0Comments
MIT and the University of Washington researchers have devised a method to model human or machine agent behaviour incorporating unknown computational constraints limiting problem-solving abilities. The technique generates an "inference budget" by observing a few previous actions, effectively predicting future behaviour. Lead author Athul Paul Jacob believes the work could help AI systems better understand…

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A dataset for Artificial Intelligence paves fresh ways for identifying tornadoes.

Algorithms, Artificial Intelligence, Climate change, Data, Disaster response, Lincoln Laboratory, Machine learning, Natural disasters, Radar, Research, Technology and society, Uncategorized, Weather, Weather modelingAugust 3, 202469Views0Likes0Comments
Researchers at MIT Lincoln Laboratory have developed a new open-source dataset, named TorNet, to detect and predict tornadoes. By using artificial intelligence (AI) models trained on TorNet, researchers hope to improve tornado forecasts and warning accuracy, potentially saving lives and minimizing damage. Tornadoes are challenging to predict, and this represents a high false alarm rate…

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To develop an improved AI assistant, begin by simulating the unpredictable actions of human beings.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 3, 202471Views0Likes0Comments
Researchers at MIT and the University of Washington have devised a model for detecting the computational limitations of an agent, whether human or machine, that obstruct their ability to solve problems. Agents' performance is monitored to calculate their "inference budget", estimates of the time and effort likely to be re-invested in similar tasks, which then…

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A dataset for artificial intelligence paves fresh ways for identifying tornadoes.

Algorithms, Artificial Intelligence, Climate change, Data, Disaster response, Lincoln Laboratory, Machine learning, Natural disasters, Radar, Research, Technology and society, Uncategorized, Weather, Weather modelingAugust 3, 202463Views0Likes0Comments
Around 1,200 tornadoes occur every year in the U.S., causing billions of dollars in damage and claiming an average of 71 lives. Predicting tornadoes is notoriously difficult due to gaps in understanding the precise conditions that cause them to form. The team from MIT's Lincoln Laboratory hopes to address this challenge, using a new open-source…

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For crafting an improved AI assistant, begin by emulating the unpredictable tendencies of humans.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 2, 202464Views0Likes0Comments
Researchers from MIT and University of Washington have developed a novel method that utilizes a good model of human behaviour, specifically involving the computational constraints in decision-making, in order to improve the collaboration between AI and humans. The unique technique of their new model permits an automatic inference regarding an agent's computational constraints solely based…

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A dataset for artificial intelligence paves the way for innovative tornado detection methods.

Algorithms, Artificial Intelligence, Climate change, Data, Disaster response, Lincoln Laboratory, Machine learning, Natural disasters, Radar, Research, Technology and society, Uncategorized, Weather, Weather modelingAugust 2, 202463Views0Likes0Comments
Meteorologists in the northern hemisphere have released a new, open-source dataset to aid in the detection and prediction of tornadoes. Given the working title "TorNet," the dataset was curated by Mark Veillette and James Kurdzo and includes radar data from thousands of US tornadoes over the past decade. Along with the dataset, models trained on…

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In order to improve the efficiency of an AI assistant, begin by simulating the unpredictable actions of individuals.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 2, 202458Views0Likes0Comments
MIT and the University of Washington researchers have developed a model to understand and predict human behavior by considering computational constraints that limit decision-making abilities for both humans and machines. One of the defining points about the model is its ability to derive an agent's computational constraints or "inference budget" based on a few previous…

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