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Biological engineering

Bridging the gap between design and production for optical equipment.

Researchers from MIT and the Chinese University of Hong Kong are using machine learning to close the gap between design and manufacturing processes in photolithography - a method used in the creation of computer chips and optical devices. Photolithography involves using light to etch features onto a surface. However, tiny variations during production often lead…

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Bridging the gap between design and production in the field of optical devices.

Photolithography, the process of manipulating light to etch features on to a surface, is crucial in making computer chips and optical devices. However, the performance of devices made using this process often falls short of their original designs due to minute deviations during manufacturing. To address this design-to-manufacturing gap, researchers from MIT and the Chinese…

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Bridging the gap between design and production for optical instruments.

Photolithography, a process of etching detailed patterns onto surfaces using light, is a crucial technique in the design and production of computer chips and other optical devices, such as lenses. However, minute deviations during manufacturing can cause a discrepancy between the designer's intentions and the actual produced device. To help bridge this gap between design…

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Bridging the gap between design and production for optical equipment.

Researchers at MIT and the Chinese University of Hong Kong have developed a machine learning model to close the gap between design and manufacturing in the field of photolithography. The technique, which involves manipulating light to etch onto surfaces, sees use in the creation of computer chips and optical devices but often falls short of…

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Bridging the gap between design and production for optical devices

Researchers from Massachusetts Institute of Technology (MIT) and the Chinese University of Hong Kong have developed a digital simulator that mimics the photolithography process, a technique used to manufacture computer chips and optical devices. The project marks the first use of actual data from a photolithography system in the construction of a simulator. This advancement could…

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Bridging the gap between design and production in the field of optical instruments.

Researchers from MIT and the Chinese University of Hong Kong have developed a machine learning-powered digital simulator that can accurately replicate a particular photolithography manufacturing process. Photolithography is a technique used to intricately etch features onto surfaces, often used in the creation of computer chips and optical devices. Despite its precision, tiny deviations in the…

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Bridging the gap between design and manufacturing in the field of optical devices.

Researchers at MIT and the Chinese University of Hong Kong have developed a machine learning-powered digital simulator for the photolithography process, frequently used in the manufacture of computer chips and optical devices. The team has built a digital simulator that can model the photolithography system based on real-world data, allowing for a greater level of…

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Narrowing the disconnect between design and production in the field of optical devices.

Photolithography is an important process in the manufacture of computer chips and optical devices like lenses, using light to carve precise features onto a surface. However, minor deviations during the manufacturing process can lead to these devices underperforming when compared to the original designs. To address this issue, researchers from MIT and the Chinese University…

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Bridging the divide between design and production for optical instruments.

Photolithography, the process of using light to etch features onto surfaces for the manufacturing of computer chips and optical devices, often fails to accurately match designer’s intentions due to tiny inconsistencies in the manufacturing process. Researchers at MIT and the Chinese University of Hong Kong have developed a machine-learning digital simulator in an effort to…

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In case an antibiotic is unsuccessful: AI is being utilized by MIT researchers to focus on dormant bacteria.

Since the 1970s, finding new antibiotics has been challenging. The World Health Organization now considers the antimicrobial resistance crisis as one of the top 10 global public health threats. Bacteria can become resistant to antibiotics, especially when an infection is treated repeatedly. Some bacteria become metabolically inert, avoiding detection by antibiotics that only respond to…

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