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Technology

EvolutionaryScale has unveiled its new innovative product, ESM3, which combines modality, generativity, and language modeling to comprehensively analyze protein structures, systems, and functions.

Natural evolution has meticulously shaped proteins over more than three billion years. Modern-day research is closely studying these proteins to understand their structures and functions. Large language models are increasingly being employed to interpret the complexities of these protein structures. Such models demonstrate a solid capacity, even without specific training on biological functions, to naturally…

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EvolutionaryScale unveils ESM3: An innovative Multimodal Generative Language Model that can analyze and interpret the sequence, structure, and function of proteins.

Scientists from Evolutionary Scale PBC, Arc Institute, and the University of California have developed an advanced generative language model for proteins known as ESM3. The protein language model is a sophisticated tool designed to understand and forecast proteins' sequence, structure, and function. It applies the masked language modeling approach to predict masked portions of protein…

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UCLA’s latest machine learning study discovers unanticipated inconsistencies and roughness within the in-context decision boundaries of LLMs.

Researchers have been focusing on an effective method to leverage in-context learning in transformer-based models like GPT-3+. Despite their success in enhancing AI performance, the method's functionality remains partially understood. In light of this, a team of researchers from the University of California, Los Angeles (UCLA) examined the factors affecting in-context learning. They found that…

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New research on machine learning from UCLA reveals surprising inconsistencies and roughness in in-context decision boundaries of LLMs.

Advanced language models such as GPT-3+ have shown significant improvements in performance by predicting the succeeding word in a sequence using more extensive datasets and larger model capacity. A key characteristic of these transformer-based models, aptly named as "in-context learning," allows the model to learn tasks through a series of examples without explicit training. However,…

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Unstructured Unveils a Seamless Serverless API: The Easiest, Quickest, and Most Cost-Efficient Method to Make Business Data Ready for AI

Unstructured, a major innovator in data transformation, has launched the Unstructured Serverless API, a breakthrough solution designed to streamline the processing and preparation of enterprise-level data for artificial intelligence (AI) applications. Not only does this offer a more straightforward approach, but it significantly accelerates the process and reduces costs. The Unstructured Serverless API is a…

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The Artificial Analysis Group introduces the leaderboard and arena for text to image analysis.

Artificial Analysis has launched the Artificial Analysis Text to Image Leaderboard & Arena, an initiative aimed at evaluating the effectiveness of AI image models. The initiative compares open-source and proprietary models, seeking to rate their effectiveness and accuracy based on the preferences of humans. The leaderboard, updated with ELO scores compiled from over 45,000 human…

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“DRR-RATE: An Extensive Synthetic Chest X-ray Collection Accompanied by Labels and Radiological Analysis”

Researchers from the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, and National Center for Biotechnology Information have introduced a new method for creating synthetic X-ray images using data from computed tomography (CT) scans. The method, called Digitally Reconstructed Radiography (DRR), uses ray tracing techniques to simulate the path of X-rays through CT volumes. Unlike…

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Camb AI has launched MARS5 TTS – an innovative Open Source Text to Speech model that significantly enhances prosody.

MARS5 TTS, an open-source text-to-speech system, has been released by the team at Camb AI, offering game-changing levels of precision and control in the field of speech synthesis. This innovative system can clone voices and provide nuanced control of prosody using less than 5 seconds of audio input. MARS5 TTS utilises a two-step process involving a…

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What is the Quantity of Scholarly Articles Produced Using ChatGPT? This AI Study Explores the Application of ChatGPT in Scholarly Writing by Overabundance of Vocabulary.

The use of large language models (LLMs), such as ChatGPT, has significantly increased in academic writing, resulting in observable shifts in writing style and vocabulary, particularly in biomedical research. Concerns have risen around the authenticity and originality of scientific content and its implications for research integrity and the evaluation of academic contributions. Traditional methods for detecting…

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End the chase for healthcare resources

Sarah, a 45-year-old woman suffering from troubling symptoms, represents the difficulties faced in a fragmented healthcare system. With a family history of severe medical issues, she's referred by her primary care physician to a variety of specialists. However, her records frequently get lost or misinterpreted in the process, leading to incomplete data about her overall…

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Scientists at Stanford University Suggest SleepFM: The Initial Multi-Mode Base Model for Sleep Examination.

Sleep monitoring is a crucial part of maintaining overall health, yet accurately assessing sleep and diagnosing disorders is a complex task due to the need for multi-modal data interpretation typically obtained through polysomnography (PSG). Current methods often depend on extensive manual evaluation by trained technicians, making them time-consuming and susceptible to variability. To address these…

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