Data

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…

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…

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…

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…

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…

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…