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PINE: Efficient Norm-Bound Verification for Secret-Shared Vectors Apple Machine Learning Research

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​Secure aggregation of high-dimensional vectors is a fundamental primitive in federated statistics and learning. A two-server system such as PRIO allows for scalable aggregation of secret-shared vectors. Adversarial clients might try to manipulate the aggregate, so it is important to ensure that each (secret-shared) contribution… Read More »PINE: Efficient Norm-Bound Verification for Secret-Shared Vectors Apple Machine Learning Research

Projected Language Models: A Large Model Pre-Segmented Into Smaller Ones Apple Machine Learning Research

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​[[{“value”:”This paper has been accepted at the Foundation Models in the Wild workshop at ICML 2024. Large language models are versatile tools but are not suitable for small inference budgets. Small models have more efficient inference but their lower capacity means that their performance can… Read More »Projected Language Models: A Large Model Pre-Segmented Into Smaller Ones Apple Machine Learning Research

Towards Automated Accessibility Report Generation for Mobile Apps Apple Machine Learning Research

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​Many apps have basic accessibility issues, like missing labels or low contrast. Automated tools can help app developers catch basic issues, but can be laborious to run or require writing dedicated tests. In this work, we developed a system to generate accessibility reports from mobile… Read More »Towards Automated Accessibility Report Generation for Mobile Apps Apple Machine Learning Research

Revolutionizing Cellular Analysis: Deep Visual Proteomics Integrates AI and Mass Spectrometry for Advanced Phenotyping Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Deep Visual Proteomics: Integrating AI and Mass Spectrometry for Cellular Phenotyping: Deep Visual Proteomics (DVP) revolutionizes the analysis of cellular phenotypes by combining advanced microscopy, AI, and ultra-sensitive mass spectrometry (MS). Traditional methods often target a limited subset of proteins, but DVP extends this… Read More »Revolutionizing Cellular Analysis: Deep Visual Proteomics Integrates AI and Mass Spectrometry for Advanced Phenotyping Sana Hassan Artificial Intelligence Category – MarkTechPost

Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS Ankur Srivastava AWS Machine Learning Blog

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​[[{“value”:” In today’s rapidly evolving landscape of artificial intelligence (AI), training large language models (LLMs) poses significant challenges. These models often require enormous computational resources and sophisticated infrastructure to handle the vast amounts of data and complex algorithms involved. Without a structured framework, the process… Read More »Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS Ankur Srivastava AWS Machine Learning Blog

COCOM: An Effective Context Compression Method that Revolutionizes Context Embeddings for Efficient Answer Generation in RAG Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” One of the central challenges in Retrieval-Augmented Generation (RAG) models is efficiently managing long contextual inputs. While RAG models enhance large language models (LLMs) by incorporating external information, this extension significantly increases input length, leading to longer decoding times. This issue is critical as… Read More »COCOM: An Effective Context Compression Method that Revolutionizes Context Embeddings for Efficient Answer Generation in RAG Aswin Ak Artificial Intelligence Category – MarkTechPost

Governing the ML lifecycle at scale, Part 2: Multi-account foundations Alberto Menendez AWS Machine Learning Blog

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​[[{“value”:” Your multi-account strategy is the core of your foundational environment on AWS. Design decisions around your multi-account environment are critical for operating securely at scale. Grouping your workloads strategically into multiple AWS accounts enables you to apply different controls across workloads, track cost and… Read More »Governing the ML lifecycle at scale, Part 2: Multi-account foundations Alberto Menendez AWS Machine Learning Blog

ChartGemma: A Multimodal Model Instruction-Tuned on Data Generated Directly from a Diverse Range of Real-World Chart Images Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Charts are essential tools in various fields, but current models for chart understanding have limitations. They often rely on data tables rather than visual patterns and use weakly aligned vision-language models, limiting their effectiveness with complex charts. Although language-augmented vision models perform well in… Read More »ChartGemma: A Multimodal Model Instruction-Tuned on Data Generated Directly from a Diverse Range of Real-World Chart Images Sana Hassan Artificial Intelligence Category – MarkTechPost

Microsoft Researchers Developed SheetCompressor: An Innovative Encoding Artificial Intelligence Framework that Compresses Spreadsheets Effectively for LLMs Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Spreadsheet analysis is essential for managing and interpreting data within extensive, flexible, two-dimensional grids used in tools like Microsoft Excel and Google Sheets. These grids include various formatting and complex structures, which pose significant challenges for data analysis and intelligent user interaction. The goal… Read More »Microsoft Researchers Developed SheetCompressor: An Innovative Encoding Artificial Intelligence Framework that Compresses Spreadsheets Effectively for LLMs Asif Razzaq Artificial Intelligence Category – MarkTechPost