Skip to content Skip to sidebar Skip to footer

Electronics

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

Health-monitoring applications have become pivotal in managing chronic diseases and tracking fitness goals, largely due to the advent of machine-learning powered tools. However, these applications are often slow and energy-inefficient, largely due to the massive machine-learning models that require transfer between a smartphone and a central memory server. Despite the development of machine-learning accelerators that…

Read More

This miniature circuit can protect user information while facilitating effective calculations on a mobile phone.

A team of researchers from MIT and the MIT-IBM Watson AI Lab has developed a machine-learning accelerator that is resistant to the two most common types of cyberattacks. This ensures that sensitive information such as finance and health records remain private while still enabling large AI models to run efficiently on devices. The researchers targeted…

Read More

This small microchip can protect user information while facilitating effective computation on a mobile phone.

Health-monitoring apps can help individuals manage chronic diseases and keep up with their fitness goals. However, these apps can often be slow and energy-inefficient due to the machine-learning models they use, which need a significant amount of data shuffling between the smartphone and a central memory server. Engineers typically use hardware (machine-learning accelerators) to streamline…

Read More

This miniature microchip has the capability to protect user information while also enhancing the effectiveness of computations on a mobile device.

Read More

This miniature microchip can protect user information while facilitating effective computing on a mobile phone.

Health-monitoring apps that assist people in managing chronic diseases or tracking fitness goals work with the help of large machine-learning models, which are often shuttled between a user's smartphone and a central memory server. This process can slow down the app's performance and drain the energy of the device. While machine-learning accelerators can help to…

Read More

This compact semiconductor ensures the protection of user information while facilitating proficient processing on a mobile phone.

Researchers at the Massachusetts Institute of Technology (MIT) and the MIT-IBM Watson AI Lab have developed a machine learning accelerator chip that is resistant to the most common types of cyberattacks, ensuring data privacy while supporting efficient AI model operations on devices. The chip can be used in demanding AI applications like augmented and virtual…

Read More

Startup advances the journey towards computing at the speed of light.

In today's digital era, the demand for ever-increasing computing power has been overwhelmingly huge, driven primarily by advancements in artificial intelligence. However, the constant innovation in computing technology is facing obstacles, primarily due to the limitations in the shrinking size of transistors used in chips. This imposes a strict limit on Moore's Law and Dennard's…

Read More

This small, secure identification label can verify nearly everything.

A team of MIT researchers have developed a novel cryptographic ID tag to tackle product counterfeiting. This tag, which is remarkably smaller and cost-efficient than traditional radio frequency tags (RFIDs), uses terahertz waves to perform authentication. The small size of terahertz waves and their greater frequency compared to radio waves make them ideal for this…

Read More