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Computer Science and Artificial Intelligence Laboratory (CSAIL)

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

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.

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.

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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Researchers from MIT present a generative artificial intelligence for databases.

GenSQL, a new AI tool developed by scientists at MIT, is designed to simplify the complex statistical analysis of tabular data, enabling users to readily understand and interpret their databases. To this end, users don't need to grasp what is happening behind the scenes to develop accurate insights. The system's capabilities include making predictions, identifying anomalies,…

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Designing domestic robots to possess a bit of general knowledge.

As robots are increasingly being deployed for complex household tasks, engineers at MIT are trying to equip them with common-sense knowledge allowing them to swiftly adapt when faced with disruptions. A newly developed method by the researchers merges robot motion data and common-sense knowledge from extensive language models (LLMs). The new approach allows a robot to…

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Large language models utilize a surprisingly straightforward method to access some stored information.

Large language models (LLMs), such as those which power AI chatbots like ChatGPT, are highly complex. While these powerful tools are used in diverse applications like customer support, code generation, and language translation, they remain somewhat of a mystery to the scientists who work with them. To develop a deeper understanding of their inner workings,…

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Large language models utilize an unexpectedly uncomplicated method to recall certain stored information.

Large language models (LLMs) that power artificial intelligence chatbots like ChatGPT are extremely complex and their functioning isn't fully understood. These LLMs are used in a variety of areas such as customer support, code generation and language translation. However, researchers from MIT and other institutions have made strides in understanding how these models retrieve stored…

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Comprehending the visual comprehension of language models.

Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL) has revealed that language models without image experience still understand the visual world. The team found that even without seeing images, language models could write image-rendering code that could generate detailed and complicated scenes. The knowledge that enabled this process came from the vast…

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Scientists improve the peripheral vision capabilities in AI models.

Researchers at Massachusetts Institute of Technology (MIT) have developed an image dataset to simulate peripheral vision in artificial intelligence (AI) models. This step is aimed at helping such models detect approaching dangers more effectively, or predict whether a human driver would take note of an incoming object. Peripheral vision in humans allows us to see…

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