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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, 202444Views0Likes0Comments
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, 202442Views0Likes0Comments
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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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, 202440Views0Likes0Comments
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, 202437Views0Likes0Comments
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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MIT Media Coverage: A Recap of 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, 202439Views0Likes0Comments

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Complicated and unfamiliar 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, 202436Views0Likes0Comments
A recent study from MIT has uncovered that the human brain's principal language processing centers are most activated while reading complex, unusual sentences. The artificial language network assisted study revealed that the more intricate a sentence was, either through unconventional grammar or unexpected meaning, the more these language processing centers were activated. In contrast, simple…

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The language network in the brain is taxed more heavily by complicated sentences that aren’t easily recognized.

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, 202434Views0Likes0Comments
MIT researchers have used an artificial language network to decipher which types of sentences activate the brain's language processing centers most effectively. Their study reveals that sentences of higher complexity with unusual grammar or unexpected meanings engage these centers to a greater degree than straightforward sentences or nonsensical series of words. Their findings are based…

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In 2024, Gosha Geogdzhayev and Sadhana Lolla were recognized as Scholars by the Gates Cambridge program.

Artificial Intelligence, Awards, Climate change, Computer science and technology, Distributed Robotics Laboratory, EAPS, Earth and atmospheric sciences, honors and fellowships, Literature, Mathematics, Physics, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Students, Technology and policy, Uncategorized, UndergraduateApril 24, 202443Views0Likes0Comments
Two MIT seniors Gosha Geogdzhayev and Sadhana Lolla have been awarded the prestigious Gates Cambridge Scholarship. This scholarship provides full-cost education at Cambridge University in the U.K, for post-graduate courses of their choice. Established in 2000 for students from countries outside the U.K., the Gates Cambridge Scholarship aims to create a global network of future…

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Geogdzhayev Gosha and Lolla Sadhana have been announced as 2024 Cambridge Scholars under the Gates Foundation.

Artificial Intelligence, Awards, Climate change, Computer science and technology, Distributed Robotics Laboratory, EAPS, Earth and atmospheric sciences, honors and fellowships, Literature, Mathematics, Physics, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Students, Technology and policy, Uncategorized, UndergraduateApril 24, 202439Views0Likes0Comments
MIT seniors Gosha Geogdzhayev and Sadhana Lolla have achieved the distinguished Gates Cambridge Scholarship, granting them the chance to undertake postgraduate study at the University of Cambridge in the UK. Gates Cambridge Scholarships were founded in 2000, with the aim to develop a worldwide network of future leaders committed to improving lives globally. Gosha Geogdzhayev, originally…

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Developing scalable, safe and dependable RAG applications using Knowledge Bases for Amazon Bedrock

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, AWS Well-Architected Framework, Generative AI, Intermediate (200), UncategorizedApril 24, 202441Views0Likes0Comments
Generative artificial intelligence (AI) is advancing rapidly, and organizations are exploring its potential applications. To ensure long-term success of AI-powered systems, it is essential to align them with well-established architectural principles. In this sense, the Amazon Web Services (AWS) Well-Architected Framework offers valuable guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in…

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