Skip to content Skip to sidebar Skip to footer
Only AI Stuff
Only AI Stuff

Computer science and technology

Close

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

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 12, 202437Views0Likes0Comments
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…

Read More

Bridging the gap between design and production for optical instruments.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 12, 202439Views0Likes0Comments
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…

Read More

A computer science expert is expanding the frontiers of geometry.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 12, 202437Views0Likes0Comments
Over 2,000 years ago, Greek mathematician Euclid, often called the father of geometry, revolutionized the understanding of shapes. In today's technological era, a 21st-century geometer, Justin Solomon, uses sophisticated techniques to solve complex problems related to shapes but often unrelated to them. Solomon applies geometry to study datasets for comparing their effectiveness in machine learning…

Read More

Bridging the gap between design and production for optical equipment.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 12, 202434Views0Likes0Comments
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…

Read More

A novel approach to AI successfully encapsulates ambiguity present in medical imagery.

Artificial Intelligence, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Health care, Imaging, Machine learning, MIT Schwarzman College of Computing, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 12, 202437Views0Likes0Comments
In the field of biomedicine, segmentation refers to the process of highlighting important structures in a medical image, from organs to cells. Artificial intelligence (AI) models are starting to play a pivotal role in this task, but there are limitations with most existing models, mainly due to the fact that they are unable to factor…

Read More

A novel Artificial Intelligence technique records ambiguity within medical imaging.

Artificial Intelligence, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Health care, Imaging, Machine learning, MIT Schwarzman College of Computing, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 12, 202439Views0Likes0Comments
A team at MIT, along with the Broad Institute of MIT and Harvard, and Massachusetts General Hospital, has developed an artificial intelligence (AI) tool that can help navigate the uncertainty in medical image analysis. The tool, named Tyche, provides multiple possible interpretations of a medical image rather than the single answer typically provided by AI…

Read More

MIT’s computing is at a crucial juncture.

academics, Administration, Aeronautical and astronautical engineering, Artificial Intelligence, Boston and region, Brain and cognitive sciences, Cambridge, Campus buildings and architecture, Chemical engineering, Community, Comparative Media Studies/Writing, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, EAPS, Education, Electrical Engineering & Computer Science (eecs), Facilities, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Music and theater arts, Nuclear science and engineering, Political science, Quest for Intelligence, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, teaching, Technology and society, Uncategorized, Urban studies and planningApril 12, 202441Views0Likes0Comments
MIT’s Stephen A. Schwarzman College of Computing has opened its new headquarters in Building 45, creating a hub for computing on campus. The building is considered a physical manifestation of the college's mission to fortify core computer science and AI, integrate computing throughout MIT, and advance the social, ethical and policy considerations of the discipline. MIT…

Read More

A turning point for computer studies at MIT.

academics, Administration, Aeronautical and astronautical engineering, Artificial Intelligence, Boston and region, Brain and cognitive sciences, Cambridge, Campus buildings and architecture, Chemical engineering, Community, Comparative Media Studies/Writing, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, EAPS, Education, Electrical Engineering & Computer Science (eecs), Facilities, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Music and theater arts, Nuclear science and engineering, Political science, Quest for Intelligence, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, teaching, Technology and society, Uncategorized, Urban studies and planningApril 12, 202438Views0Likes0Comments
The MIT Stephen A. Schwarzman College of Computing has recently inaugurated its new headquarters in Building 45, fostering a new hub of connectivity at MIT. The structure serves as a computing crossroads for the campus and aims to catalyze collaborations in computing, and houses research groups from multiple departments and labs. Approximately 178,000 square feet in…

Read More

The team from MIT has published research papers on the management of Artificial Intelligence.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 11, 202433Views0Likes0Comments
A committee formed by MIT scholars and leaders has released a series of policy briefs that propose a framework for artificial intelligence (AI) governance in the United States. The proposed approach extends existing regulatory and liability procedures to manage AI effectively. The committee believes this could boost the country's leadership position in AI while minimizing…

Read More

A computational expert advances the frontiers of geometric studies.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 11, 202436Views0Likes0Comments
Over 2,000 years ago, Euclid, the Greek mathematician, laid the foundation of geometry and altered our perception of shapes. Justin Solomon, inspired by Euclid's work, applies modern geometric techniques to resolve challenging problems that may not appear related to shapes. As an associate professor at the MIT Department of Electrical Engineering and Computer Science and…

Read More

+60 12-462 2768
hello@goacademyai.com