Data Science Resources TP . Data Engineering . Kaggle Datasets

Data Science Resources TP . Data Engineering . Kaggle Datasets

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Updated: May 7, 2026 at 12:35 PM

Data Science Resources TP . Data Engineering . Kaggle Datasets

@datascienceresourcestp offers specialized information about Engineering for subscribers interested in Engineering

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Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

The robots that moved a house in China.

The area is densely packed with narrow alleys and old structures, making cranes and large machines unusable. These robots were chosen because they can operate in tight spaces and move precisely without damaging nearby buildings.

https://youtu.be/33nLMve0WJk

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Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

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The book: https://deeplearningwithpython.io/chapters/

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Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

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Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

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Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

🎥 Video

Ai is mysteriously learning things it was never programmed to know.

🔆 https://t.me/techpsyche

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Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

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Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

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🚨 LLM Agents Can Be Easily Hijacked via the Open Web - Columbia University Study

Researchers at Columbia University have shown that AI agents based on large language models (LLMs), especially those with web access are highly vulnerable to simple but dangerous attacks.

🧠 How it works:

1. An attacker places a malicious link on a popular website (e.g., Reddit).
2. The AI agent follows the link during a web task.
3. Hidden instructions are triggered, causing the agent to:
• Reveal sensitive information
• Send phishing emails
• Perform unsafe actions without detection

⚠️ In controlled tests, the attack worked 100% of the time.
That means even low-effort exploits can lead to serious consequences for users and companies relying on AI agents for automation.

📎 Full Paper: https://arxiv.org/html/2502.08586v1

🔹 Previous Article:
Hyperbolic Dataset Distillation


For more LLM resources:
✓ https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

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These channels are for Programmers, Coders, Software Engineers.

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Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

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Article Title:
Hyperbolic Dataset Distillation

Article Date: 30 May 2025

Article Description:
To address the computational and storage challenges posed by large-scale datasets in deep learning, dataset distillation has been proposed to synthesize a compact dataset that replaces the original while maintaining comparable model performance. Unlike optimization-based approaches that require costly bi-level optimization, distribution matching (DM) methods improve efficiency by aligning the distributions of synthetic and original data, thereby eliminating nested optimization.

PDF Download Link:
https://arxiv.org/pdf/2505.24623v1.pdf

GitHub:
• https://github.com/Guang000/Awesome-Dataset-Distillation

🔹 Datasets:
* CIFAR-100
* Fashion-MNIST
* Tiny ImageNet

🔹 Previous Article:

==================================

For more data science resources:
✓ https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

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Data Science Resources TP . Data Engineering . Kaggle Datasets

May 7, 2026, 04:05 AM

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🔹 Title:
FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation

🔹 Abstract:
FilMaster is an AI system that integrates cinematic principles to generate professional-grade films, featuring camera language design and cinematic rhythm control using real-world film data and generative AI models. Existing film generation systems struggle to implement cinematic principles and thus fail to generate professional-quality films, particularly lacking diverse camera language and cinematic rhythm. This results in templated visuals and unengaging narratives. To address this, we introduce FilMaster, an end-to-end AI system that integrates real-world cinematic principles for professional-grade film generation, yielding editable, industry-standard outputs.

🔹 Links:
• arXiv Page: https://arxiv.org/abs/2506.18899
• PDF: https://arxiv.org/pdf/2506.18899
• Github: https://filmaster-ai.github.io/

For more resources:
✓ https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

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