Month

    Why data breaches have become 'normalized' and 6 things CISOs can do to prevent them
    Why data breaches have become ‘normalized’ and 6 things CISOs can do to prevent them

    Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing …

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    ALPINE: Autoregressive Learning for Planning in Networks
    ALPINE: Autoregressive Learning for Planning in Networks

    Large Language Models (LLMs) such as ChatGPT have attracted a lot of attention since they can perform a wide range …

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    This AI Paper from Huawei Introduces a Theoretical Framework Focused on the Memorization Process and Performance Dynamics of Transformer-based Language Models (LMs)
    This AI Paper from Huawei Introduces a Theoretical Framework Focused on the Memorization Process and Performance Dynamics of Transformer-based Language Models (LMs)

    Transformer-based neural networks have shown great ability to handle multiple tasks like text generation, editing, and question-answering. In many cases, …

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    Google AI Described New Machine Learning Methods for Generating Differentially Private Synthetic Data
    Google AI Described New Machine Learning Methods for Generating Differentially Private Synthetic Data

    Google AI researchers describe their novel approach to addressing the challenge of generating high-quality synthetic datasets that preserve user privacy, …

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    Ripple (XRP): Latin America Shifts Towards Crypto Amidst Cash Ditch
    Ripple (XRP): Latin America Shifts Towards Crypto Amidst Cash Ditch

    Latin America’s Embrace of Crypto Latin America is seeing a significant shift towards digital payments, …

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    This AI Paper from Stanford University Evaluates the Performance of Multimodal Foundation Models Scaling from Few-Shot to Many-Shot-In-Context Learning ICL
    This AI Paper from Stanford University Evaluates the Performance of Multimodal Foundation Models Scaling from Few-Shot to Many-Shot-In-Context Learning ICL

    Incorporating demonstrating examples, known as in-context learning (ICL), significantly enhances large language models (LLMs) and large multimodal models (LMMs) without …

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    Researchers from Columbia University and Databricks Conducted a Comparative Study of LoRA and Full Finetuning in Large Language Models
    Researchers from Columbia University and Databricks Conducted a Comparative Study of LoRA and Full Finetuning in Large Language Models

    Machine learning models, which can contain billions of parameters, require sophisticated methods to fine-tune their performance efficiently. Researchers aim to …

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    Machine Learning Revolutionizes Path Loss Modeling with Simplified Features
    Machine Learning Revolutionizes Path Loss Modeling with Simplified Features

    Accurate propagation modeling is paramount for effective radio deployments, coverage analysis, and interference mitigation in wireless communications. Path loss modeling, …

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    Europe Embraces Instant Payments: Ripple Insights
    Europe Embraces Instant Payments: Ripple Insights

    An Accelerated Shift to Instant Payments Across Europe Instant payments are becoming the transaction method …

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    This AI Paper Introduces Rational Transfer Function: Advancing Sequence Modeling with FFT Techniques
    This AI Paper Introduces Rational Transfer Function: Advancing Sequence Modeling with FFT Techniques

    State-space models (SSMs) are crucial in deep learning for sequence modeling. They represent systems where the output depends on both …

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