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To generate an enhanced AI assistant, begin by imitating the illogical 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 6, 2024103Views0Likes0Comments
Researchers from MIT and the University of Washington have created a model that can accurately predict and assess human and machine behaviour to support more effective AI-human collaboration. The model can compute the behavioural constraints of an individual or machine by evaluating data related to previous actions. The resulting "inference budget" can be utilised to…

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This small microchip can protect user information while facilitating effective data processing on a mobile device.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedAugust 6, 2024129Views1Like0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a secure and efficient machine-learning accelerator. This would help avoid common cyber threats and ensure sensitive data, like health records and financial information, remain private while still enabling AI models to run on devices. The development represents a significant step in guaranteeing the security…

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To improve an AI assistant, begin by imitating 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 6, 202449Views0Likes0Comments
Researchers at MIT and the University of Washington have created a model to predict the decision-making behavior of both human and AI agents, even in the presence of unknown computational constraints. The system is designed to infer the 'inference budget' of a given agent, in other words, how much time or computational resource they are…

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This minuscule microchip can protect consumer information while allowing effective data processing on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedAugust 6, 202465Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator capable of maintaining user privacy while running large AI models efficiently on devices. Although it might increase device cost and reduce energy efficiency, lead author Maitreyi Ashok, an electrical engineering and computer science (EECS) graduate student at MIT, believes these are…

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To develop a superior AI assistant, begin by emulating 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 6, 202435Views0Likes0Comments
Researchers at MIT and the University of Washington have developed a method to model the behavior of agents, either human or artificial, accounting for potential unknown computational constraints that could affect their problem-solving abilities. This model can predict an agent’s future behavior based on a few instances of their past actions - what they term…

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This compact microchip can protect user information while promoting effective computing on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedAugust 6, 202477Views0Likes0Comments
MIT and MIT-IBM Watson AI Lab researchers have invented a machine-learning chip resistant to the most common forms of cyberattacks. The technology caters to increasing demand for secure health-monitoring apps for individuals with chronic diseases or fitness goals, as well as for hardware-heavy uses such as autonomous vehicles and virtual reality. Health records and other…

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A dataset for Artificial Intelligence paves innovative 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 6, 202433Views0Likes0Comments
Tornadoes are one of nature's most destructive and unpredictable forces, causing billions of dollars in damages and claiming lives every year. Though they are difficult to predict, a new open-source dataset created by researchers from the MIT Lincoln Laboratory, known as TorNet, offers hope in improving our detection and prediction abilities. Composed of radar images…

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For enhanced AI assistance, begin by mimicking the unpredictable conducts 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 6, 202433Views0Likes0Comments
To construct AI systems that can effectively collaborate with humans, a comprehensive model of human behavior is pivotal, however, humans often exhibit suboptimal decision-making. Linking this irrationality to computational limitations, researchers from the Massachusetts Institute of Technology (MIT) and the University of Washington have presented an innovative technique to model the behavior of a human…

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This small microchip can protect user information and simultaneously promote efficient processing on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedAugust 6, 202473Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator that can resist the two most common types of cyberattacks while maintaining the functionality of large Artificial Intelligence (AI) models, according to senior author Anantha Chandrakasan, MIT’s chief innovation and strategy officer, dean of the School of Engineering, and the Vannevar…

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A dataset based on AI 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 6, 202437Views0Likes0Comments
Researchers at MIT Lincoln Laboratory have introduced an open-source dataset called TorNet in an attempt to enable enhanced detection and prediction of tornadoes. The dataset comprises radar returns from thousands of tornadoes that struck the US over the past decade and includes copies of storms that generated tornadoes as well as other extreme weather events…

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