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A computational expert expands the limits 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 9, 202443Views0Likes0Comments
Over two millennia ago, the ancient mathematician Euclid, widely recognized as the father of geometry, shifted our perspective on shapes. Today, Justin Solomon of MIT uses contemporary geometric methods to tackle complex challenges seemingly unrelated to shapes. Solomon utilizes geometric tools to analyze high-dimensional datasets, providing insights about the potential performance of machine learning models.…

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Bridging the divide 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 9, 202441Views0Likes0Comments
Photolithography, the process of using light to etch features onto surfaces for the manufacturing of computer chips and optical devices, often fails to accurately match designer’s intentions due to tiny inconsistencies in the manufacturing process. Researchers at MIT and the Chinese University of Hong Kong have developed a machine-learning digital simulator in an effort to…

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Promising indications have been seen in deep neural networks as potential models for human auditory perception.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 9, 202440Views0Likes0Comments
A recent study from MIT suggests that computational models built using machine learning could closely mimic the structure and function of the human auditory system. This discovery could potentially help researchers in designing more effective hearing aids, cochlear implants, and brain-machine interfaces. In the largest-ever examination of deep learning neural networks trained for auditory tasks, the…

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In case an antibiotic is unsuccessful: AI is being utilized by MIT researchers to focus on dormant bacteria.

Antibiotics, Artificial Intelligence, Bacteria, Biological engineering, Drug discovery, Health sciences and technology, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, Medicine, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 9, 202438Views0Likes0Comments
Since the 1970s, finding new antibiotics has been challenging. The World Health Organization now considers the antimicrobial resistance crisis as one of the top 10 global public health threats. Bacteria can become resistant to antibiotics, especially when an infection is treated repeatedly. Some bacteria become metabolically inert, avoiding detection by antibiotics that only respond to…

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Amazon Bedrock’s Knowledge Bases now have the functionality to filter metadata, enhancing the precision of data retrieval.

Amazon Bedrock, Announcements, Artificial Intelligence, Intermediate (200), UncategorizedApril 9, 202438Views0Likes0Comments
During the AWS re:Invent 2023, Amazon announced the general availability of Knowledge Bases for Amazon Bedrock. This allows secure connection of foundation models in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. This feature helps in improving the accuracy of the generated responses from foundation models depending upon the…

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Telegram Users are employing AI-assisted ‘Undress’ Bots to Strip Images of Females.

Finance, UncategorizedApril 8, 202439Views0Likes0Comments
Last year, amid the widening influence of Silicon Valley’s AI technology, apps known as "nudify" had hit the limelight. These apps, which were accessible through open-source models, enabled users to virtually undress individuals in photographs using artificial intelligence. Mostly targeted at women, these non-consensual NSFW (Not Safe For Work) applications garnered millions of online visits. AI…

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Explore the Most Comprehensive and Detailed Three-Dimensional Universe Map Ever Produced.

Culture, UncategorizedApril 8, 202437Views0Likes0Comments
An international team of researchers has created the largest and most detailed 3D map of the universe, enabling us to understand our position in the cosmos. Developed with data from the Dark Energy Spectroscopic Instrument (DESI) survey, the map measures the universe’s expansion over the past 11 billion years. The software used for analysis was…

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SiloFuse: Advancing Artificial Data Creation in Distributed Networks with Improved Privacy, Productivity, and Data Usefulness

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 8, 202440Views0Likes0Comments
Data is as valuable as currency in today's world, leading many industries to face the challenge of sharing and enhancing data across various entities while also protecting privacy norms. Synthetic data generation has provided organizations with a means to overcome privacy obstacles and unlock potential for collaborative innovation. This is especially relevant in distributed systems,…

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AURORA-M: A global, open-source AI model with 15 billion parameters, trained in several languages, including English, Finnish, Hindi, Japanese, the Vietnamese and Code.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Multimodal AI, Staff, Tech News, Technology, UncategorizedApril 8, 202443Views0Likes0Comments
The impressive advancements that have been seen in artificial intelligence, specifically in Large Language Models (LLMs), have seen them become a vital tool in many applications. However, the high cost associated with the computational power needed to train these models has limited their accessibility, stifling wider development. There have been several open-source resources attempting to…

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