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A novel computational algorithm could simplify the process of creating beneficial proteins.

Artificial Intelligence, Biological engineering, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Defense Advanced Research Projects Agency (DARPA), DNA, Electrical Engineering & Computer Science (eecs), McGovern Institute, MIT Schwarzman College of Computing, National Institutes of Health (NIH), National Science Foundation (NSF), Proteins, Research, School of Engineering, School of Science, UncategorizedJuly 13, 202435Views0Likes0Comments
MIT researchers have developed a computational approach that predicts protein mutations, based on limited data, that would enhance their performance. The researchers used their model to create optimized versions of proteins derived from two naturally occurring structures. One of these was the green fluorescent protein (GFP), a molecule used to track cellular processes within the…

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A novel computational method may simplify the process of designing beneficial proteins.

Artificial Intelligence, Biological engineering, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Defense Advanced Research Projects Agency (DARPA), DNA, Electrical Engineering & Computer Science (eecs), McGovern Institute, MIT Schwarzman College of Computing, National Institutes of Health (NIH), National Science Foundation (NSF), Proteins, Research, School of Engineering, School of Science, UncategorizedJuly 12, 202434Views0Likes0Comments
Scientists at Massachusetts Institute of Technology (MIT) have developed a computational model aimed at simplifying the process of protein engineering. The researchers applied mutations to natural proteins with desirable traits, such as the ability to emit fluorescent light, using random mutation to cultivate better versions of the protein. The technique was deployed using the green…

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The cognitive abilities of extensive linguistic models are frequently exaggerated.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Language, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Quest for Intelligence, Research, School of Engineering, UncategorizedJuly 12, 202446Views0Likes0Comments
Artificial intelligence (AI) and particularly large language models (LLMs) are not as robust at performing tasks in unfamiliar scenarios as they are positioned to be, according to a study by researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). The researchers focused on the performance of models like GPT-4 and Claude when handling “default tasks,”…

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A methodology for enhancing the efficiency of versatile robots.

Aeronautical and astronautical engineering, Artificial Intelligence, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, Robots, School of Engineering, UncategorizedJune 3, 202429Views0Likes0Comments
MIT researchers have developed a technique to train robots on multiple tasks by combining and optimising data from a variety of sources. At the core of their work is a type of generative AI known as a 'diffusion model', which learns from a specific dataset to complete a task. However, the particular innovation here lies…

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This small, secure identification 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, UncategorizedJune 3, 202436Views0Likes0Comments
A team of MIT researchers have developed a novel cryptographic ID tag to tackle product counterfeiting. This tag, which is remarkably smaller and cost-efficient than traditional radio frequency tags (RFIDs), uses terahertz waves to perform authentication. The small size of terahertz waves and their greater frequency compared to radio waves make them ideal for this…

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This miniature, tamper-resistant identification label has the potential to validate virtually anything.

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, UncategorizedJune 2, 202436Views0Likes0Comments
MIT researchers have developed an anti-tampering ID tag that provides improved security compared to traditional radio frequency ID (RFID) tags that are commonly used for authentication. The new tag, which is smaller, cheaper, and more secure than RFIDs, uses terahertz (THz) waves for authentication. However, like traditional RFIDs, it faced a vulnerability where counterfeiters could…

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This small, secure identification label has the ability to verify almost anything.

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, UncategorizedJune 2, 202435Views0Likes0Comments
The ability to confirm the authenticity of products has become a paramount need in our world today, especially with the rise of counterfeiting. The most common method often used is radio frequency tags or RFIDs, which confirms the authenticity of a product but at a size and cost disadvantage. However, a new research by the…

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This small, secure ID label has the capability to validate 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, UncategorizedJune 1, 202431Views0Likes0Comments
MIT researchers have advanced their previously developed cryptographic ID tag that uses terahertz waves instead of radio frequency (RFID) technology, to bolster its security and undermine counterfeiting efforts. The initial model of their tag had a major flaw in that it could be peeled off a genuine item and reattached to a counterfeit, thereby tricking…

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This small, secure identification 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, UncategorizedJune 1, 202436Views0Likes0Comments
Researchers at MIT have created a cryptographic ID tag that offers improved security over traditional radio frequency (RFID) tags. This enhanced tag incorporates the use of terahertz waves and unique glue patterns to authenticate products and prevent counterfeiting. It’s smaller in size, cheaper to produce, and more secure than traditional RFIDs. The ID tag could…

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This small, secure identification marker can validate 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 31, 202434Views0Likes0Comments
Researchers at MIT have developed a new ID tag that leverages terahertz waves to offer a superior level of security compared to the traditional radio frequency tags (RFIDs), and at a significantly cheaper cost. This breakthrough was achieved by incorporating microscopic metal particles into the adhesive that binds the tag to a product. The terahertz…

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