Researchers at MIT have developed a cryptographic ID tag that is significantly smaller, cheaper, and more secure than traditional radio frequency identification (RFID) tags. The new tag is based on the use of terahertz waves which are smaller and have much higher frequencies than radio waves.
The innovation overcomes a major security flaw common with…
MIT researchers have created a secure and portable ID tag, utilizing terahertz waves, a technology considered superior compared to traditional RFIDs due to the improved security it offers. The team has bypassed the significant vulnerability of both RFID and terahertz tags, where a counterfeiter can remove the tag from an original item and transfer it…
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator that is resistant to the two most common types of cyber attacks. This development is a major leap forward in data and information security within devices using machine-learning applications. The chip can protect sensitive user information such as health records and…
Photolithography, the technique used to create computer chips and optical devices, often results in minuscule deviations from design intentions. With the goal of closing the gap between design and manufacturing, a team of researchers from MIT and the Chinese University of Hong Kong, led by mechanical engineering graduate student Cheng Zheng, used machine learning to…
Photolithography is a crucial process in the manufacturing of computer chips and other optical devices, but validity between the design and the final product often falls short due to tiny variations in the manufacturing process. To address this issue, researchers from MIT and the Chinese University of Hong Kong have developed a machine-learning aided digital…
Photolithography, a process used to fabricate computer chips and optical devices, often falls short of designers' intentions due to tiny deviations during manufacturing. To address this, researchers from MIT and the Chinese University of Hong Kong have used machine learning to develop a digital simulator that precisely replicates a specific photolithography manufacturing process. The simulator…
Photolithography, a process used to create computer chips and optical devices, can often have tiny deviations during production, causing the final product to fall short of the initial design. To address this, researchers from MIT and the Chinese University of Hong Kong have used machine learning to develop a digital simulator that more accurately models…
Researchers from MIT and the Chinese University of Hong Kong have developed a machine learning technique to bridge the gap between the design and manufacturing processes in photolithography. Photolithography, a technique commonly used in fabricating computer chips and optical devices like lenses, often falls short of the designers' expectations due to minute deviations during manufacturing.…
Researchers from MIT and the Chinese University of Hong Kong have developed a machine-learning based digital simulator that can more precisely model specific photolithography manufacturing processes used in creating computer chips and optical devices like lenses. The simulator is designed to help close the gap between design and manufacturing, as tiny deviations during the manufacturing…
Researchers from the Massachusetts Institute of Technology (MIT) and the Chinese University of Hong Kong have developed a digital simulator using machine learning to optimize the manufacturing process used in fabricating devices like computer chips and lenses. This technology, known as photolithography, manipulates light to precisely etch features onto a surface, but minute deviations can…
Photolithography is a crucial technique in the production of computer chips and optical devices, but it is susceptible to micro discrepancies which can result in the final devices not performing as designed. MIT and the Chinese University of Hong Kong researchers have helped resolve this issue, using machine learning to create a digital simulator that…