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MIT Media Coverage: A Look Back at 2023

The year 2023 marked several significant achievements for the Massachusetts Institute of Technology (MIT) as it sought to unravel the mysteries of the inner and outer world. From President Sally Kornbluth's inauguration, Mark Rober's address at the commencement, to Professor Moungi Bawendi winning the Nobel Prize in Chemistry, the institution has had an exciting year. Under…

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Media coverage of MIT: A recap of 2023

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The brain’s language network has to put in more effort when dealing with complicated and unfamiliar sentences.

MIT neuroscientists have used an artificial language network to determine the type of sentences that most stimulate the brain's key language processing regions. Their study reveals that the brain reacts more to complex sentences with unusual grammar or unexpected meaning. Straightforward sentences or nonsensical sequences show little engagement. The researchers focused on language processing regions…

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Intricate and unfamiliar sentence structures place increased strain on the brain’s language processing network.

A team of neuroscientists from the Massachusetts Institute of Technology (MIT) have used an artificial language network to identify the type of sentences that activate the brain's critical language processing centres. The team learned that more complex sentences, which feature unusual grammar or unexpected meanings, generate strong responses from these centres, while straightforward sentences barely…

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Enhance the precision of Amazon Rekognition Face Search by utilizing user vectors.

In numerous industries such as finance, telecommunications, and healthcare, online identity verification is a critical process. This is often done using a multi-step digital identity process, one example of which is face search, which matches an end-user's face with those in an existing account. A variety of steps are necessary to build an accurate face…

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Boost LLM efficiency by integrating human and AI responses on Amazon SageMaker for Amazon Engineering.

Amazon’s EU Design and Construction (Amazon D&C) team is in charge of designing and constructing Amazon warehouses. They have to sift through a large number of documents and information to ensure the warehouse designs meet high standards. As part of a pilot scheme, Amazon D&C implemented an AI-powered solution built on Amazon SageMaker to help…

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Enhance the performance of LLM with inputs from human and AI on Amazon SageMaker, as a part of Amazon Engineering.

The Amazon EU Design and Construction (D&C) team has developed an artificial intelligence (AI) powered solution that improves the accuracy and efficiency of the construction process of Amazon warehouses. This solution involves a language learning model (LLM) which allows engineers to retrieve relevant information from a large volume of unorganized documents, improving the quality and…

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Improve the functionality of chatbot AI by leveraging sophisticated routing methods through Amazon’s Bedrock platform.

Conversational AI assistants are able to provide quick, accurate responses via intelligent routing of questions to the most suitable AI functions. One example of this is Amazon Bedrock, a fully managed service that offers a selection of high-performance base models from leading AI companies via a single API. This post examines two primary techniques for…

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Utilizing Instagram as Your Primary Marketing Strategy

Instagram’s evolution from a simple photo-sharing app to a comprehensive marketing tool has revolutionized social media marketing strategies globally. With over a billion active users, the platform provides unparalleled reach and engagement tools, making it more than just one part of a broader marketing strategy. That said, many companies now hire individuals to manage their…

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AI is Transforming Marketing: The truth about AI implementation in the advertisement sector

The introduction of artificial intelligence (AI) to the marketing industry has brought significant changes, piquing both excitement and concern among professionals as AI tools are revolutionizing tasks from simple to complex. A study by McKinsey suggests that AI could automate over 30% of tasks in approximately 60% of occupations, underscoring the immense potential of AI's…

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