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An adaptable approach to assist creatives in enhancing animation.

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 24, 2024186Views0Likes0Comments
A ground-breaking method to give animators more control over their work has been introduced by researchers at the Massachusetts Institute of Technology, represented in a paper by Ana Dodik, the lead author. The technique relies on generating mathematical functions known as 'barycentric coordinates,' which guide how 2D and 3D shapes bend, stretch, and move throughout…

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Media Coverage of MIT: A Look Back at 2023

academics, Administration, Alumni/ae, Artificial Intelligence, astronomy and planetary science, Boston and region, Cambridge, Climate change, Community, Computer science and technology, Diversity and inclusion, Education, Faculty, Global, Government, Health sciences and technology, Innovation and Entrepreneurship (I&E), MIT Schwarzman College of Computing, MIT Sloan School of Management, Policy, President Sally Kornbluth, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Social justice, Space, Staff, Students, teaching, UncategorizedApril 24, 2024194Views0Likes0Comments

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Intricate and unknown phrases put more strain on the brain’s language processing system.

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedApril 24, 2024196Views0Likes0Comments
Using an artificial language network, neuroscientists from MIT have identified the type of sentences that most effectively activate the human brain's language processing centres. Their findings, published in Nature Human Behavior, show that the most stimulating sentences are those which are complex due to uncommon words or grammar, or unexpected meanings. Simplistic sentences or nonsensical…

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Charting the neural routes associated with visual recall in the brain.

Artificial Intelligence, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Functional magnetic resonance imaging (fMRI), Image Processing, Imaging, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, Uncategorized, VisionApril 24, 2024190Views0Likes0Comments
For almost ten years, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have conducted studies to understand why some images are more memorable than others. The team used magnetoencephalography (MEG), which records timing of brain activity, and functional magnetic resonance imaging (fMRI), which identifies active brain regions, to discern when and where in…

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Understanding OCR Technology and Its Potential Benefits for Your Marketing Strategies

Guest Post, UncategorizedApril 24, 2024199Views0Likes0Comments
OCR, or Optical Character Recognition, is a technology that can convert images of text into a format that is machine-readable. This technology is being largely adopted in various sectors, including health, where it is used to process various medical records. The application of OCR, however, isn't limited to just healthcare and can be effectively leveraged…

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Blink: A Fresh Multimodal LLM Standard that Assesses Fundamental Visual Perception Skills not Detected in Current Evaluations

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 24, 2024193Views0Likes0Comments
Researchers from the University of Pennsylvania, University of Washington, Allen Institute for AI, University of California, and Columbia University have developed a novel benchmark study for evaluating core visual perception abilities in multimodal large language models (LLMs), called 'Blink.' The study suggests that current methods of evaluating LLMs conflate perception with linguistic understanding and reasoning.…

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Researchers from Nota AI have unveiled the LD-Pruner, an innovative, structured pruning technique that maintains performance while reducing the size of Latent Diffusion Models (LDMs).

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 24, 2024170Views0Likes0Comments
Generative models are key tools in various sectors, such as computer vision and natural language processing, due to their ability to generate samples from learning data distributions. Among these, Diffusion Models (DMs) and particularly Latent Diffusion Models (LDMs) are favored for their high-quality image output, speed of generation, and reduced computational cost. Despite these advantages,…

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