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Artificial Intelligence

This AI research proposes FLORA, a unique approach to machine learning that uses federated learning and parameter-efficient adapters for training Visual-Language Models (VLMs).

Training vision-language models (VLMs) traditionally requires centralized aggregation of large datasets, a process that raises issues of privacy and scalability. A recent solution to this issue is federated learning, a methodology allowing models to train across a range of devices while maintaining local data. However, adapting VLMs to this framework presents its challenges. Intel Corporation…

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LMSYS ORG presents Arena-Hard: a data infrastructure designed to construct excellent benchmarks from live chatbot discussions. This system functions within Chatbot Arena, a crowd-sourced platform for evaluating language model systems.

Large Language Models (LLMs) are integral to the development of chatbots, which are becoming increasingly essential in sectors such as customer service, healthcare, and entertainment. However, evaluating and measuring the performance of different LLMs can be challenging. Developers and researchers often struggle to compare capabilities and outcomes accurately, with traditional benchmarks often falling short. These…

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A versatile method to assist artists in enhancing their animation skills.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a technique that enables digital artists more versatility in how they move their animations of 2D and 3D shapes. Traditionally, artists had limited choices when it came to defining movements using mathematical functions known as barycentric coordinates. The researchers suggest that existing solutions are rigid and…

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MIT researchers employ Artificial Intelligence to discover a fresh category of potential antibiotics.

At MIT, a team of researchers is utilizing deep learning—a type of artificial intelligence—to discover new, potentially life-saving antibiotics. Their focus is on combating one of the world's deadliest drug-resistant bacterium: methicillin-resistant Staphylococcus aureus (MRSA), which takes over 10,000 lives in America annually. Published in Nature, MIT's study reveals that a new class of compounds, identified…

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Review of MIT’s Media Coverage in 2023

In 2023, MIT shone in the realm of science, technology, education and community service. The year saw Sally Kornbluth’s inauguration as President and Mark Rober’s inspiring commencement speech. Nobel laureate Moungi Bawendi’s cutting-edge work in quantum dots and partnerships with Steve Hartman brought the science of kindness to the limelight. A variety of advancements, in…

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The brain’s language network has to exert more effort when dealing with complex and unfamiliar sentences.

MIT neuroscientists have used an artificial language network to determine the type of sentences that stimulate the brain's key language-processing centers most. The research revealed that complex sentences, whether due to unusual grammar or unexpected meaning, generated stronger responses in these centers. Straightforward sentences barely engaged these regions and nonsensical sequences of words yielded little…

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FlashSpeech: An Innovative Speech Generation System that Drastically Cuts Down on Computational Expenses while Preserving Superior Speech Output Quality

The field of speech synthesis has seen a significant transformation in recent years with the advent of large-scale generative models. This has led to substantial advancements in zero-shot speech synthesis systems such as text-to-speech (TTS), voice conversion (VC), and editing. The objective of these systems is to generate speech by incorporating unseen speaker characteristics from…

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Improving Time Series Predictions: The Influence of Bi-Mamba4TS’s Bidirectional State Space Modeling on the Accuracy of Long-Term Forecasts

Time series forecasting is a crucial tool leveraged by numerous industries, including meteorology, finance, and energy management. As organizations today strive towards precision in forecasting future trends and patterns, time series forecasting has emerged as a game-changer. It not only refines decision-making processes but also helps optimize resource allocation over extended periods. However, making accurate…

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Representative Ability of Transformer Language Models Compared to n-gram Language Models: Harnessing the Parallel Processing Potential of n-gram Models

Neural language models (LMs), particularly those based on transformer architecture, have gained prominence due to their theoretical basis and their impact on various Natural Language Processing (NLP) tasks. These models are often evaluated within the context of binary language recognition, but this approach may create a disconnect between a language model as a distribution over…

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A versatile approach to assist animators in enhancing their creations.

A team of MIT researchers has developed a new technique that gives animators greater control over their creations in video games and animated films. Their method uses mathematical functions known as barycentric coordinates, which determine how 2D and 3D shapes can bend, stretch, and move within a given space. This offers a significant improvement to…

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MIT researchers utilize Artificial Intelligence to discover a new category of potential antibiotics.

Utilizing deep learning, researchers from the Massachusetts Institute of Technology (MIT) have identified a new class of compounds that effectively kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium responsible for over 10,000 deaths each year in the United States. The compounds have been found to have low toxicity against human cells, a key characteristic for…

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Media Coverage of MIT: A Recap of 2023

Throughout 2023, MIT experienced a number of breakthroughs, key advancements, and noteworthy events, all featuring in the headlines. At the beginning of the year, President Sally Kornbluth’s inauguration and Mark Rober’s commencement address marked significant moments. Moreover, Professor Moungi Bawendi was awarded the Nobel Prize in Chemistry. Throughout the year, researchers at MIT made significant…

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