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Artificial Intelligence

Meta AI presents Chameleon: A novel range of preliminary fusion token-based foundational models that establish a fresh benchmark for multimodal machine learning.

Recent multimodal foundation models are often limited in their ability to fuse various modalities, as they typically utilize distinct encoders or decoders for each modality. This structure limits their capability to effectively integrate varied content types and create multimodal documents with interwoven sequences of images and text. Meta researchers, in response to this limitation, have…

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Chasing the Platonic Ideals: AI’s Hunt for a Single Reality Paradigm

Artificial Intelligence (AI) systems have demonstrated a fascinating trend of converging data representations across different architectures, training objectives, and modalities. Researchers propose the "Platonic Representation Hypothesis" to explain this phenomenon. Essentially, this hypothesizes that various AI models are striving to capture a unified representation of the underlying reality that forms the basis for observable data.…

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Enhanced safety in the sky with autonomous helicopters.

In 2019, Hector (Haofeng) Xu, a PhD student at MIT's Department of Aeronautics and Astronautics, decided to learn to fly helicopters. After experiencing the hazards of flying small aircraft firsthand, he was motivated to enhance helicopter flight safety. In 2021, he elevated his strong passion for aeronautical safety and started his own autonomous helicopter company…

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An innovative method allows AI chatbots to engage in conversation all day without experiencing any system failures.

A team of researchers from MIT and other institutions has discovered a remarkable cause of performance deterioration in chatbots and found a simple solution that allows persistent, uninterrupted dialogue. This problem occurs when human-AI interaction involves continuous rounds of conversation, which can overburden the large language machine-learning models that power chatbots like ChatGPT. The researchers have…

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The Imperative of Engaging a Multidisciplinary Team for Constructing AI Algorithm and Technology in EHR for Clinical Decision Making

The Covid-19 pandemic compelled hospitals worldwide to adopt innovative measures aimed at reducing the administrative burden on healthcare staff already battling burnout, according to Teray Johnson, Director of Data Automation and Transformation at Lifepoint Health. Applications ranged from hospital-at-home to within-EHR automation of clinical decision-making processes. One of the notable innovations was a clinical decision-making…

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Phidata: An Artificial Intelligence Infrastructure for Constructing Independent Aides with Extensive Memory, Contextual Understanding and the Proficiency to Execute Activities via Function Invocation.

Artificial intelligence is extensively utilized in today's world by both businesses and individuals, with a particular reliance on large language models (LLMs). Despite their broad range of applications, LLMs have certain limitations that restrict their effectiveness. Key among these limitations is their inability to retain long-term conversations, which hampers their capacity to deliver consistent and…

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