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

MIT Schwarzman College of Computing

Close

3 Enquiries: Improving final-stage distribution using artificial intelligence learning systems.

Algorithms, Artificial Intelligence, Business and management, Center for Transportation and Logistics, Interview, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Research, School of Engineering, Staff, Supply chains, Transportation, UncategorizedApril 17, 202433Views0Likes0Comments
Across the U.S., hundreds of thousands of drivers deliver innumerable parcels daily, with most deliveries taking a few days. Coordinating such a enormous supply chain in a predictable and timely manner is a challenging problem in operations research, particularly optimizing the last leg of delivery routes, which is often the costliest due to factors such…

Read More

Bridging the gap between designing and manufacturing 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 16, 202437Views0Likes0Comments
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…

Read More

A dynamic approach to assist animators in enhancing their artistry.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 16, 202438Views0Likes0Comments
A new technique introduced by researchers from the Massachusetts Institute of Technology (MIT) could provide artists with enhanced control over their animated creations. This method uses mathematical functions known as barycentric coordinates, which define how 2D and 3D shapes can bend, stretch, and move through space. The procedure offers multiple options for barycentric coordinate functions,…

Read More

A computer science expert explores new limits 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 16, 202433Views0Likes0Comments
More than 2,000 years after Greek mathematician Euclid laid the groundwork for geometry, Justin Solomon, an associate professor at the MIT Department of Electrical Engineering and Computer Science, is leveraging modern geometric techniques to solve complex problems that seemingly have no connection to shapes. Solomon's work involves using geometrical structures in comparing datasets to predict…

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 16, 202437Views0Likes0Comments
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.…

Read More

A versatile approach to assist animators in enhancing their craft.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 16, 202438Views0Likes0Comments
MIT researchers have developed a technique that might allow animators to have more control over their creations. It leverages mathematical functions known as barycentric coordinates to define the way 2D and 3D shapes bend, stretch and move. It gives artists significant flexibility, allowing them to select functions that best fit their vision for the animation.…

Read More

A computer engineer is expanding the limits of geometric theory.

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 15, 202440Views0Likes0Comments
Justin Solomon, an associate professor at the Massachusetts Institute of Technology (MIT), is applying modern geometric techniques to solve complex problems in data science, computer graphics, and artificial intelligence. He draws upon the principles of geometry— the study of shapes—pioneered over 2,000 years ago by Greek mathematician Euclid. The relevance of geometric principles extends beyond…

Read More

Narrowing 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 15, 202433Views0Likes0Comments
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…

Read More

A versatile answer designed to assist animators in enhancing their artwork.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 15, 202436Views0Likes0Comments
Researchers from MIT have developed a method that could provide animators with greater control over their animations. This new technique generates mathematical functions known as barycentric coordinates, which define how 2D and 3D shapes can bend, stretch, and move through space. This allows the artist to determine the movements of animated objects according to their…

Read More

A computer technologist advances the limits 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 15, 202438Views0Likes0Comments
Justin Solomon, an Associate Professor in the MIT Department of Electrical Engineering and Computer Science (EECS), is using geometric techniques to solve complex computing problems. Solomon says this method is ideally suited to finding solutions in data science, as it can enable a deeper understanding of the distances, similarities, curvature and shape data. About half…

Read More

+60 12-462 2768
hello@goacademyai.com