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A computer scientist is advancing the limits of geometry.

Justin Solomon, an associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS) and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), is using advanced geometric techniques to deal with complex issues that don't seemingly have any connection with geometry. Solomon explains that geometric terms like distance, similarity, and…

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A computer engineer explores the limits of geometric principles.

More than 2000 years after Greek mathematician Euclid revolutionized the understanding of shapes, MIT associate professor Justin Solomon uses modern geometric techniques to resolve complex problems that seemingly have little to do with shapes. Adopting these techniques to compare two datasets for machine learning model performance, Solomon argues that geometric tools can reveal whether the…

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Bridging the gap between design and production for optical instruments

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…

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Neural networks with deep learning capabilities exhibit potential in their application to human auditory models.

Researchers from MIT have moved closer to creating computational models that effectively mimic the structure and function of the human auditory system. Utilizing machine learning, they developed models that could help improve hearing aids, cochlear implants, and brain-machine interfaces. The recent study showed that most deep learning models, trained to execute auditory tasks, generated internal…

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The computational model encapsulates the hard-to-detect transition states in chemical reactions.

During a chemical reaction, molecules gain energy until they reach a transition state. This is a point from which the reaction must proceed. However, this state is brief and almost impossible to observe experimentally. Traditionally, the structures of these transition states have been calculated with methods rooted in quantum chemistry. This process is extremely time-consuming. The…

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An adaptable approach designed to assist creators in enhancing their animation skills.

MIT researchers have developed a technique that could revolutionize the animation industry by giving artists more flexibility in how they animate characters. Instead of sticking to a single conventional measurements or mathematical functions called barycentric coordinates, the new method allows the artist to experiment with different movements and expressions, specific to each individual animation. This…

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DeepMind educates robotic soccer players to perform actions like kicking, blocking, and defending.

Google's DeepMind researchers have made a remarkable achievement in robotics by their successful training of humanoid robots to play soccer without manual programming. The research, detailed in a study published in Science Robotics, used deep reinforcement learning (RL) to teach commercially available 20-inch tall Robotis OP3 robots intricate movement and gameplay skills. Through trial and…

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Comparing AWS and Azure: A Look at Two Titans of the Cloud Platform Industry

Amazon Web Services (AWS) and Microsoft Azure are two of the leading platforms in cloud computing. They offer various services tailored to diverse business needs and their evolution signifies continuous improvement and adaptation to changing technological demands. AWS, a branch of Amazon that commenced operations in 2006, provides on-demand cloud computing platforms and APIs to different…

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Speeding Up Engineering and Scientific advancements: Caltech and NVIDIA’s Neural Operators Revolutionize Simulations

Artificial intelligence continues to transform scientific research and engineering design, presenting a faster and cost-effective alternative to physical experiments. Researchers from NVIDIA and Caltech are at the forefront, devising a new method that upends traditional numerical simulations using neural operators, providing enhanced efficiency in modeling complex systems. This innovative approach aids in addressing some of…

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This research conducted by UC Berkeley and Tel Aviv University improves the flexibility of computer vision models in performing tasks by utilizing internal network task vectors.

In the field of computer vision, developing adaptable models that require minimal human intervention is generating new opportunities for research and use. A key area of focus is using machine learning to enhance the ability of models to switch between tasks efficiently, thereby increasing their flexibility and applicability in various situations. Usually, computer vision systems require…

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Elon Musk’s x.AI Revolutionizes AI Industry with Innovative Multimodal Model: Grok-1.5 Vision

Elon Musk's research lab, x.AI, made an advancement in the AI field with the introduction of the Grok-1.5 Vision (Grok-1.5V) model, which aims to reshape the future of AI. Grok-1.5V, a multimodal model, is known to amalgamate linguistic and visual understanding and may surpass current models such as GPT-4, which can potentially amplify AI capabilities.…

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A computer scientist advances the limits of geometry.

Over two thousand years ago, Greek mathematician Euclid revolutionized the world with his groundbreaking work in geometry. Today, MIT Associate Professor Justin Solomon is using contemporary geometric techniques to solve intricate problems, which often don't appear to be related to shapes, albeit heavily correlate with data arrangement in a high-dimensional space. Solomon, who is also a…

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