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Media Coverage of MIT: A Recap of 2023

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Start developing a more efficient AI assistant by first understanding and replicating the unpredictable actions of humans.

Artificial Intelligence (AI) researchers at MIT and the University of Washington have created a model that can predict a human's decision-making behaviour by learning from their past actions. The model incorporates the understanding that humans can behave sub-optimally due to computational constraints — essentially the idea that humans can't spend indefinitely long periods considering the…

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The Oversight Board of Meta evaluates how it manages explicit deep fakes.

The Oversight Board, a body of experts independent from Meta (formerly Facebook), was founded in 2020 to review challenging content moderation decisions on Facebook, Instagram, and Threads. This Board has recently announced its decision to scrutinize Meta's response to two cases related to sexually explicit, AI-generated images of female public figures. The Board comprises 20…

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KAUST researchers alongside Sony AI have put forward FedP3, a machine learning solution developed to address variations in both data and model while emphasizing the importance of privacy.

Researchers from Sony AI and the King Abdullah University of Science and Technology (KAUST) have developed FedP3, a solution aimed at addressing the challenges of model heterogeneity in federated learning (FL). Model heterogeneity arises when devices used in FL have different capabilities and data distributions. FedP3, which stands for Federated Personalized and Privacy-friendly network Pruning,…

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This AI research presents the innovative Pipeline Forward-Forward Algorithm (PFF), a new technique in machine learning for tutoring dispersed neural networks through the use of the Forward-Forward Algorithm.

Training deep neural networks with hundreds of layers can be a painstaking process, often taking weeks due to the sequential nature of the backpropagation learning method. While this process works on a single computer unit, it is challenging to parallelize across multiple systems, leading to long waiting times. This issue escalates further when dealing with enormous…

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Researchers from Hugging Face have unveiled Idefics2, a highly effective vision-language model with 8B parameters. This model is set to enhance multimodal AI by implementing superior OCR technology and native resolution methods.

Hugging Face Researchers have unveiled Idefics2, an impressive 8-billion parameter vision-language model. It is designed to enhance the blending of text and image processing within a single framework. Unlike previous models which required the resizing of images to fixed dimensions, the Idefics2 model uses the Native Vision Transformers (NaViT) strategy to process images at their…

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TrueFoundry Introduces Cognita: A RAG Framework for Constructing Versatile and Commercially Viable Applications, Available Open-Source

Artificial intelligence technology continues to evolve at a rapid pace, with innovative solutions bringing AI from prototype to production. Recognizing the challenges these transitions can present, TrueFoundry has introduced a novel open-source framework — Cognita — leveraging Retriever-Augmented Generation (RAG) technology to provide a more straightforward and scalable pathway to deploying AI applications. Cognita is designed…

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