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MarkTechPost - 2026-07-10

3 items collected.


1. How to Build a T4-Friendly Autonomous Data Science Agent with DeepAnalyze-8B, Sandboxed Code Execution, and Iterative Analysis

Author: Sana Hassan
Published: 7/10/2026, 7:24:00 PM
Categories: Agentic AI, Applications, Artificial Intelligence, Editors Pick, Staff, Technology, Tutorials

We build an autonomous data science agent around DeepAnalyze-8B and run it end to end. We prepare a stable Colab runtime, install the machine-learning dependencies, and load the tokenizer and model in 4-bit mode to fit limited GPU memory. We add a sandboxed execution environment that lets the model ...

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2. Google Research Introduces SensorFM: A Wearable Health Foundation Model Pretrained on One Trillion Minutes of Sensor Data

Author: Michal Sutter
Published: 7/10/2026, 8:52:04 AM
Categories: AI Paper Summary, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Staff, Tech News

SensorFM, a wearable health foundation model from Google Research, Google DeepMind, and university collaborators. We walk through its ViT-1D masked-autoencoder backbone, pretrained on more than one trillion minutes of unlabeled sensor signals from 5,000,000 consented participants. We examine the co-...

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3. Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness

Author: Asif Razzaq
Published: 7/10/2026, 4:38:20 AM
Categories: Agentic AI, AI Infrastructure, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Physical AI, Promote, Software Engineering, Sponsored, Staff, Tech News, Technology, Vision Language Model

Robbyant, Ant Group's embodied-intelligence unit, has released LingBot-World-Infinity (LingBot-World 2.0). It is a 14B causal video generation model that behaves as an interactive world simulator. The core idea is the Mixture of Bidirectional and Autoregressive (MoBA) attention mask, paired with dis...

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