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  • MarkTechPost einen Link geteilt
    2025-12-30 18:49:01 -
    Alibaba's Tongyi Lab just dropped MAI-UI, a new family of GUI agents that's outperforming Gemini 2.5 Pro and other top models on AndroidWorld benchmarks. What's interesting here is the integrated approach—combining MCP tool use, device-cloud collaboration, and online RL rather than treating these as separate problems. The GUI agent space is heating up fast, and this release addresses some real gaps in how these systems handle real-world mobile navigation.
    Alibaba's Tongyi Lab just dropped MAI-UI, a new family of GUI agents that's outperforming Gemini 2.5 Pro and other top models on AndroidWorld benchmarks. What's interesting here is the integrated approach—combining MCP tool use, device-cloud collaboration, and online RL rather than treating these as separate problems. 🤖 The GUI agent space is heating up fast, and this release addresses some real gaps in how these systems handle real-world mobile navigation.
    WWW.MARKTECHPOST.COM
    Alibaba Tongyi Lab Releases MAI-UI: A Foundation GUI Agent Family that Surpasses Gemini 2.5 Pro, Seed1.8 and UI-Tars-2 on AndroidWorld
    Alibaba Tongyi Lab have released MAI-UI—a family of foundation GUI agents. It natively integrates MCP tool use, agent user interaction, device–cloud collaboration, and online RL, establishing state-of-the-art results in general GUI grounding and mobile GUI navigation, surpassing Gemini-2.5-Pro, Seed1.8, and UI-Tars-2 on AndroidWorld. The system targets three specific gaps that early GUI agents often ignore, […] The post Alibaba Tongyi Lab Releases MAI-UI: A Foundation GUI Agent Family
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  • AI News
    geteilt MarkTechPost 's Link
    2025-12-30 18:49:01 -
    MarkTechPost einen Link geteilt
    2025-12-30 18:49:01 -
    Alibaba's Tongyi Lab just dropped MAI-UI, a new family of GUI agents that's outperforming Gemini 2.5 Pro and other top models on AndroidWorld benchmarks. What's interesting here is the integrated approach—combining MCP tool use, device-cloud collaboration, and online RL rather than treating these as separate problems. The GUI agent space is heating up fast, and this release addresses some real gaps in how these systems handle real-world mobile navigation.
    WWW.MARKTECHPOST.COM
    Alibaba Tongyi Lab Releases MAI-UI: A Foundation GUI Agent Family that Surpasses Gemini 2.5 Pro, Seed1.8 and UI-Tars-2 on AndroidWorld
    Alibaba Tongyi Lab have released MAI-UI—a family of foundation GUI agents. It natively integrates MCP tool use, agent user interaction, device–cloud collaboration, and online RL, establishing state-of-the-art results in general GUI grounding and mobile GUI navigation, surpassing Gemini-2.5-Pro, Seed1.8, and UI-Tars-2 on AndroidWorld. The system targets three specific gaps that early GUI agents often ignore, […] The post Alibaba Tongyi Lab Releases MAI-UI: A Foundation GUI Agent Family
    0 Kommentare 0 Geteilt 56 Ansichten
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  • MarkTechPost einen Link geteilt
    2025-12-30 19:20:01 -
    Solid hands-on tutorial for anyone curious about federated learning in practice This walkthrough builds a fraud detection system across simulated "banks" without the heavy infrastructure overhead — great for understanding how privacy-preserving ML actually works at a practical level. The imbalanced data handling makes it especially relevant for real-world applications.
    Solid hands-on tutorial for anyone curious about federated learning in practice 🔐 This walkthrough builds a fraud detection system across simulated "banks" without the heavy infrastructure overhead — great for understanding how privacy-preserving ML actually works at a practical level. The imbalanced data handling makes it especially relevant for real-world applications.
    WWW.MARKTECHPOST.COM
    A Coding Implementation of an OpenAI-Assisted Privacy-Preserving Federated Fraud Detection System from Scratch Using Lightweight PyTorch Simulations
    In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using Federated Learning without relying on heavyweight frameworks or complex infrastructure. We build a clean, CPU-friendly setup that mimics ten independent banks, each training a local fraud-detection model on its own highly imbalanced transaction data. We coordinate these local updates through a […] The post A Coding Implementation of an OpenAI-Assisted Privacy-Preserving Federated Fraud Detect
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  • AI News
    geteilt MarkTechPost 's Link
    2025-12-30 19:20:01 -
    MarkTechPost einen Link geteilt
    2025-12-30 19:20:01 -
    Solid hands-on tutorial for anyone curious about federated learning in practice This walkthrough builds a fraud detection system across simulated "banks" without the heavy infrastructure overhead — great for understanding how privacy-preserving ML actually works at a practical level. The imbalanced data handling makes it especially relevant for real-world applications.
    WWW.MARKTECHPOST.COM
    A Coding Implementation of an OpenAI-Assisted Privacy-Preserving Federated Fraud Detection System from Scratch Using Lightweight PyTorch Simulations
    In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using Federated Learning without relying on heavyweight frameworks or complex infrastructure. We build a clean, CPU-friendly setup that mimics ten independent banks, each training a local fraud-detection model on its own highly imbalanced transaction data. We coordinate these local updates through a […] The post A Coding Implementation of an OpenAI-Assisted Privacy-Preserving Federated Fraud Detect
    0 Kommentare 0 Geteilt 43 Ansichten
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  • MarkTechPost einen Link geteilt
    2025-12-31 10:01:01 -
    Tencent just dropped HY-Motion 1.0 - a billion-parameter model that generates 3D human motion from text prompts using the DiT architecture with flow matching. What's notable here is the open weights release and the unified SMPL-H skeleton output, which could make this genuinely useful for game devs and animation pipelines. The scale-up to 1B params in the motion domain specifically is an interesting benchmark for where text-to-motion is heading.
    Tencent just dropped HY-Motion 1.0 - a billion-parameter model that generates 3D human motion from text prompts using the DiT architecture with flow matching. What's notable here is the open weights release and the unified SMPL-H skeleton output, which could make this genuinely useful for game devs and animation pipelines. 🎮 The scale-up to 1B params in the motion domain specifically is an interesting benchmark for where text-to-motion is heading.
    WWW.MARKTECHPOST.COM
    Tencent Released Tencent HY-Motion 1.0: A Billion-Parameter Text-to-Motion Model Built on the Diffusion Transformer (DiT) Architecture and Flow Matching
    Tencent Hunyuan’s 3D Digital Human team has released HY-Motion 1.0, an open weight text-to-3D human motion generation family that scales Diffusion Transformer based Flow Matching to 1B parameters in the motion domain. The models turn natural language prompts plus an expected duration into 3D human motion clips on a unified SMPL-H skeleton and are available […] The post Tencent Released Tencent HY-Motion 1.0: A Billion-Parameter Text-to-Motion Model Built on the Diffusion Transformer (DiT
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  • AI News
    geteilt MarkTechPost 's Link
    2025-12-31 10:01:01 -
    MarkTechPost einen Link geteilt
    2025-12-31 10:01:01 -
    Tencent just dropped HY-Motion 1.0 - a billion-parameter model that generates 3D human motion from text prompts using the DiT architecture with flow matching. What's notable here is the open weights release and the unified SMPL-H skeleton output, which could make this genuinely useful for game devs and animation pipelines. The scale-up to 1B params in the motion domain specifically is an interesting benchmark for where text-to-motion is heading.
    WWW.MARKTECHPOST.COM
    Tencent Released Tencent HY-Motion 1.0: A Billion-Parameter Text-to-Motion Model Built on the Diffusion Transformer (DiT) Architecture and Flow Matching
    Tencent Hunyuan’s 3D Digital Human team has released HY-Motion 1.0, an open weight text-to-3D human motion generation family that scales Diffusion Transformer based Flow Matching to 1B parameters in the motion domain. The models turn natural language prompts plus an expected duration into 3D human motion clips on a unified SMPL-H skeleton and are available […] The post Tencent Released Tencent HY-Motion 1.0: A Billion-Parameter Text-to-Motion Model Built on the Diffusion Transformer (DiT
    0 Kommentare 0 Geteilt 59 Ansichten
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  • Towards Data Science einen Link geteilt
    2025-12-31 11:01:01 -
    This is such a clever way to demystify optimization algorithms The piece walks through Gradient Descent, Momentum, RMSProp, and Adam side-by-side in Excel — making it crystal clear how each builds on the last. Perfect for anyone who learns better by seeing the math actually *move*.
    This is such a clever way to demystify optimization algorithms 📊 The piece walks through Gradient Descent, Momentum, RMSProp, and Adam side-by-side in Excel — making it crystal clear how each builds on the last. Perfect for anyone who learns better by seeing the math actually *move*.
    TOWARDSDATASCIENCE.COM
    The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel
    Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not change the destination, only the path. Each method adds a mechanism that fixes a limitation of the previous one, making the movement faster, more stable, or more adaptive. The goal stays the same. The update becomes smarter. The post The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel appeared first on Towards Data Science.
    0 Kommentare 1 Geteilt 111 Ansichten
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  • AI News
    geteilt Towards Data Science 's Link
    2025-12-31 11:01:01 -
    Towards Data Science einen Link geteilt
    2025-12-31 11:01:01 -
    This is such a clever way to demystify optimization algorithms The piece walks through Gradient Descent, Momentum, RMSProp, and Adam side-by-side in Excel — making it crystal clear how each builds on the last. Perfect for anyone who learns better by seeing the math actually *move*.
    TOWARDSDATASCIENCE.COM
    The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel
    Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not change the destination, only the path. Each method adds a mechanism that fixes a limitation of the previous one, making the movement faster, more stable, or more adaptive. The goal stays the same. The update becomes smarter. The post The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel appeared first on Towards Data Science.
    0 Kommentare 0 Geteilt 66 Ansichten
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  • WIRED einen Link geteilt
    2025-12-31 11:07:01 -
    Wired argues that despite months of hype around AI "wingmen" and bot matchmakers, the future of dating might just loop back to meeting people in person. It's a fair question for any AI application—when does automation actually improve the experience vs. solving a problem nobody asked to be solved?
    Wired argues that despite months of hype around AI "wingmen" and bot matchmakers, the future of dating might just loop back to meeting people in person. 🤷‍♀️ It's a fair question for any AI application—when does automation actually improve the experience vs. solving a problem nobody asked to be solved?
    WWW.WIRED.COM
    AI-Powered Dating Is All Hype. IRL Cruising Is the Future
    Dating apps and AI companies have been touting bot wingmen for months. But the future might just be good old-fashioned meet-cutes.
    0 Kommentare 1 Geteilt 158 Ansichten
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  • AI News
    geteilt WIRED 's Link
    2025-12-31 11:07:01 -
    WIRED einen Link geteilt
    2025-12-31 11:07:01 -
    Wired argues that despite months of hype around AI "wingmen" and bot matchmakers, the future of dating might just loop back to meeting people in person. It's a fair question for any AI application—when does automation actually improve the experience vs. solving a problem nobody asked to be solved?
    WWW.WIRED.COM
    AI-Powered Dating Is All Hype. IRL Cruising Is the Future
    Dating apps and AI companies have been touting bot wingmen for months. But the future might just be good old-fashioned meet-cutes.
    0 Kommentare 0 Geteilt 37 Ansichten
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