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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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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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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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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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This small microchip can protect user information yet still allow for proficient 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 5, 202474Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator that provides security against the two most common types of attacks. This chip can keep sensitive data, such as health records or financial information, private while allowing AI models to run efficiently on devices. The increased security doesn't affect the accuracy…

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A dataset for artificial intelligence paves novel 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 5, 202438Views0Likes0Comments
Springtime in the Northern Hemisphere marks the onset of tornado season, and while the dust and debris-filled spiral of a tornado may seem an unmistakable sight, these violent weather phenomena often evade detection until it's too late. Recognizing the need for better ways of predicting these occurrences, researchers at MIT Lincoln Laboratory have compiled a…

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This small microchip can protect user information while also enhancing effective computing 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 5, 202436Views0Likes0Comments
Researchers from the MIT-IBM Watson AI Lab and MIT have developed a secure machine-learning accelerator that can efficiently run large AI models while protecting user data. The device keeps user medical records, personal finance information, and other sensitive data confidential, and it is currently resistant to two of the most common security threats. The team…

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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, 202430Views0Likes0Comments
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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