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This AI Paper from UCLA Unveils ‘2-Factor Retrieval’ for Revolutionizing Human-AI Decision-Making in Radiology
Integration of AI into clinical practices is very challenging, especially in radiology. While AI has proven to enhance the accuracy of diagnosis, its “black-box” nature often erodes clinicians’ confidence and acceptance. Current clinical decision support systems (CDSSs) are either not explainable or use methods like saliency maps and Shapley values, which do not give clinicians…
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A Uranium-Mining Boom Is Sweeping Through Texas
State leaders want nuclear reactors to provide consistent, low-carbon power for AI, oil extraction, and more. But in South Texas, people worry mining for fuel will poison their water.
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AI4Bharat and Hugging Face Released Indic Parler-TTS: A Multimodal Text-to-Speech Technology for Multilingual Inclusivity and Bridging India’s Linguistic Digital Divide
AI4Bharat and Hugging Face have unveiled the Indic-Parler Text-to-Speech (TTS) system, an initiative designed to advance linguistic inclusivity in AI. This development is an effort to bridge the digital divide in a linguistically diverse country like India. Indic Parler-TTS represents a synthesis of cutting-edge technology and cultural preservation to empower users to access digital tools…
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Advancing Large Multimodal Models: DocHaystack, InfoHaystack, and the Vision-Centric Retrieval-Augmented Generation Framework
LMMs have made significant strides in vision-language understanding but still need help reasoning over large-scale image collections, limiting their real-world applications like visual search and querying extensive datasets such as personal photo libraries. Existing benchmarks for multi-image question-answering are constrained, typically involving up to 30 images per question, which needs to address the complexities of…
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NVIDIA AI Introduces NVILA: A Family of Open Visual Language Models VLMs Designed to Optimize both Efficiency and Accuracy
Visual language models (VLMs) have come a long way in integrating visual and textual data. Yet, they come with significant challenges. Many of today’s VLMs demand substantial resources for training, fine-tuning, and deployment. For instance, training a 7-billion-parameter model can take over 400 GPU days, which makes it inaccessible to many researchers. Fine-tuning is equally…
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Google DeepMind’s Patent Transforming Protein Design Through Advanced Atomic-Level Precision and AI Integration
Protein design is crucial in biotechnology and pharmaceutical sciences. Google DeepMind, with its patent, WO2024240774A1, unveils a cutting-edge system that harnesses diffusion models operating on full atom representations. This innovative framework redefines the approach to protein design, achieving unprecedented precision and efficiency. DeepMind’s system is a breakthrough in computational biology, combining advanced neural networks with…
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If you can make this AI bot fall in love, you could win thousands of dollars
If you can be the first person to get an AI bot named Freysa to say ‘I love you,’ you’ll win anywhere from $3,000 to tens of thousands of dollars. © 2024 TechCrunch. All rights reserved. For personal use only.
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13 Deals on WIRED-Approved Gear at Walmart
Treat yourself or someone else to discounts on our favorite TVs, headphones, and more.
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Sakana AI’s CycleQD outperforms traditional fine-tuning methods for multi-skill language models
CycleQD merges skills of experts models in clever ways to create many new models with multiple skills, no fine-tuning required.Read More
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Keeping Your Personal Data Safe in the Age of Trump
Our security and business editors join us to discuss how you can protect your personal information from data brokers, tech companies, scammers, and the government.