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This small, secure identification label has the ability to verify nearly everything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 29, 202438Views0Likes0Comments
Researchers at Massachusetts Institute of Technology (MIT) have developed a small, low-cost cryptographic ID tag that improves the security of product authentication. The new design mitigates a common security issue where counterfeiters could transfer an ID tag from an authentic product to a fake one, deceiving authentication systems. This ID tag uses terahertz waves and…

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This small, secure identification marker holds the capacity to verify nearly everything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 29, 202434Views0Likes0Comments
Researchers from MIT have developed a cryptographic ID tag that's considerably smaller, more secure, and cost-effective than traditional radio frequency tags (RFIDs) regularly used in product authenticity verification. These ID tags use terahertz waves, which are smaller and have higher frequencies than radio waves, thus being more compact and secure. An issue with traditional RFIDs is…

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The new system pinpoints medications that should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 29, 202440Views0Likes0Comments
A multi-institutional team of researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a strategy that uses machine learning and tissue models to identify transport proteins that different drugs interact with in the gastrointestinal (GI) tract. When a drug is taken orally, it must pass through the lining of the digestive tract.…

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Searching for a particular activity in a video? This method, powered by artificial intelligence, can locate it for you.

Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Data, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering, Uncategorized, VideoMay 29, 202435Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have introduced an efficient method to train machine-learning models to identify specific actions in videos by making use of the video's automatically generated transcripts. The method, known as spatio-temporal grounding, helps the model intricately understand the video by dissecting it and analysing it through the lens…

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Addressing the Issue of Gradient Inversion in Federated Learning: The DAGER Algorithm for Precise Text Reconstruction

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 29, 202434Views0Likes0Comments
Federated learning is a way to train models collaboratively using data from multiple clients, maintaining data privacy. Yet, this privacy can become compromised by gradient inversion attacks that reconstruct original data from shared gradients. To address this threat and specifically tackle the challenge of text recovery, researchers from INSAIT, Sofia University, ETH Zurich, and LogicStar.ai…

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An innovative method allows AI chatbots to engage in conversations all day long without experiencing any system failures.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 29, 202433Views0Likes0Comments
When engaging in continuous dialogues, powerful language machine-learning models that drive chatbot technologies such as ChatGPT can struggle to cope, often leading to a decline in performance. Now, a team of researchers from MIT and elsewhere believe they have found a solution to this issue, which ensures chatbots can continue a conversation without crashing or…

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This small, secure ID label can verify nearly everything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 29, 202439Views0Likes0Comments
A few years ago, MIT researchers created an innovative cryptographic ID tag several times smaller and much cheaper than traditional RFIDs (radio frequency tags) commonly used to authenticate products. Despite the significant improvements in size, cost, and security this new ID tag brought, it shared a major security vulnerability with RFIDs, where a counterfeiter could…

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The new system pinpoints medicines that should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 29, 202436Views0Likes0Comments
Researchers from MIT, Brigham and Women’s Hospital and Duke University have developed a multipronged strategy to identify which transporter proteins drugs use to pass through the GI tract. This could not only improve patient treatment by revealing which drugs might interact unfavorably with each other, but also enhance the development of new drugs by informing…

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Empowering individuals facing challenges with the use of Artificial Intelligence.

Algorithms, Alumni/ae, Artificial Intelligence, Data, Innovation and Entrepreneurship (I&E), Machine learning, Media Lab, School of Architecture and Planning, Startups, UncategorizedMay 29, 202437Views0Likes0Comments
In 2010, Media Lab students Karthik Dinakar SM ’12, PhD ’17, and Birago Jones SM ’12 wanted to develop a tool to assist content moderation teams at companies like Twitter and YouTube. The project prompted excitement, earning them a demo at a White House cyberbullying summit. When Dinakar struggled to create a working demo, Jones…

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The diffusion control model can alter the characteristics of the material present in pictures.

Artificial Intelligence, Computer graphics, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Games, Imaging, Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedMay 29, 202438Views0Likes0Comments
A team of researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and Google Research have developed an image-to-image diffusion model called Alchemist, which allows users to modify the material properties of objects in photos. The system adjusts aspects such as roughness, metallicity, innate color (albedo), and transparency, and can be applied to…

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