T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

As AI moves beyond chatbots and toward systems that can take actions, the Linux Foundation is launching a new group dedicated to keeping AI agents from splintering into a mess of incompatible, ...

House Democrats on Friday introduced legislation to get rid of the WISEeR model for prior authorization in traditional Medicare. Representatives Rick Larsen (WA-02), Suzan DelBene (WA-01), Kim Schrier ...

Abstract: In this work, we propose StegGuard, a novel fingerprinting mechanism to verify the ownership of a suspect pretrained model using steganography, where the pretrained model is obtained via ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Python and ESPnet are required. sudo apt install g++ ffmpeg python3 -m venv venv . venv/bin/activate python3 -m pip install espnet torchaudio torchcodec python3 -m ...

The future of AI is on the edge. The tiny Mu model is how Microsoft is building its new Windows agents. If you’re running on the bleeding edge of Windows, using the Windows Insider program to install ...

Microsoft is laying the groundwork for Windows 11 to morph into a genAI-driven OS. The company on Monday announced a critical AI technology that will make it possible to run generative AI (genAI) ...

Third-party model portfolios had $646 billion in assets under advisement as of March 31, 2025—an increase of 62% since Morningstar last surveyed for assets in June 2023, less than two years ago.

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing ...

Traditionally, plant genomics has grappled with the intricacies of vast and complex datasets, often limited by the specificity of traditional machine learning models and the scarcity of annotated data ...

Flexible models quickly adjust to market dynamics. They foster innovation and efficient resource use. Adaptability leads to competitive advantage. A flexible business model is one that can readily ...