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... 28:5
Building Safe Enterprise AI Systems with Databricks

Data Science Dojo

1+ months ago 89 views

Security AI's Genor framework facilitates safe AI development by enabling the seamless synchronization of data from various sources into Delta tables and vector databases. The framework is designed to handle unstructured data efficiently and incorporates rigorous methodologies for data governance, compliance, and security measures. Users can define data selection and cleaning rules based on entitlements, ensuring compliance with privacy regulations. The demo illustrates how to effectively ingest and sanitize data while maintaining visibility over the entire data flow, allowing organizations to focus on value creation through AI while minimizing risks associated with data governance.
Databricks AI cloud services Tech & Hardware
... 9:15
Install SmolDocling-256M Locally: Docling-Based AI Model

Fahd Mirza

1+ months ago 1K views

Dockling is introduced as a powerful tool for document processing that simplifies the extraction of data from diverse formats, including images and PDFs. The newly installed multimodal model retains key features of Dockling, such as efficient tokenization and advanced OCR capabilities. It can process mathematical expressions, extract chart data, and preserve document structure, making it versatile for numerous tasks. The video details the installation process, including working within a virtual environment and testing the model's performance with various document types and languages, highlighting its capabilities and limitations in multilingual contexts.
01:48 - 01:56

Installation process for the Dockling model on an Ubuntu system.

Natural Language Processing (NLP) Research & Innovations
... 6:21
Powering AI with Smarter Data Lakehouses

DATAcated

1+ months ago 5K views

Molly from Dro discusses the importance of AI in data lakehouse architectures at the Gartner Data and Analytics Summit. Key insights highlight the need for high-quality, trustworthy AI production and growing trends in data governance. Upcoming releases from Dro focus on enhancing intelligence with features like autonomous reflections and AI-enabled semantic search. Dro's approach emphasizes unifying data access to build a solid foundation for AI readiness, aiming to ensure quality and quantity in data to optimize AI model performance.
02:07 - 02:21

Dro's new releases aim to enhance intelligence with autonomous reflections.

Dremio Big Data Analytics Research & Innovations
... 4:51
Darktrace AI Differentiation

Darktrace

1+ months ago 1K views

Darktrace utilizes a self-learning AI system to enhance cybersecurity by adapting to rapidly evolving cyber threats. The technology incorporates multiple AI methodologies, including unsupervised learning, to distinguish between normal and abnormal behaviors. By automating threat detection and response, Darktrace empowers organizations to manage security alerts with precision, minimizing false positives. The multi-layered AI continuously evolves based on the unique behaviors of a company's systems and personnel, effectively countering both known and novel malicious activities. As a result, organizations can increase their resilience without the need for expanding security personnel.
03:49 - 04:11

Focuses on multi-layered AI to reduce dwell time and enhance containment.

DarkTrace Cybersecurity Cybersecurity
... 13:50
IDOLpro: Generative AI for Chemistry | Tech talk with Amit Kadan

SandboxAQ

1+ months ago 2K views

IDOLpro combines AI and physics to enhance drug design by generating small molecules tailored for specific protein targets. Traditional methods are time-consuming, as they require evaluating vast chemical libraries. In contrast, IDOLpro uses generative AI to jump directly to relevant chemical spaces, optimizing for properties like synthetic accessibility and binding affinity. The framework employs a diffusion model guided by machine learning and physics-based scoring functions, significantly improving the efficiency of drug discovery. Initial evaluations show IDOLpro outperformed existing methods in generating viable drug candidates with desirable properties.
04:00 - 04:04

Iterative grading in IDOLpro enhances molecular properties like binding affinity.

SandboxAQ Machine Learning Research & Innovations
... 19:45
Best AI Coding IDE? I Tested 5, Winner Shocked Me!

Siraj Raval

1+ months ago 3K views

This video reviews several major AI integrated development environments (IDEs) used for coding over a 30-day period, highlighting their strengths and weaknesses. The tools assessed include Cursor, Wind Surf, Aid, Bolt, and Repet. Key metrics for evaluation include code generation accuracy, natural language understanding, multifile editing capabilities, and development speed. Ultimately, Bolt emerged as the top choice for quickly building functional applications, while Cursor and Wind Surf followed closely behind, each with distinct features. The analysis emphasizes the importance of development speed and functionality in AI code editors.
14:38 - 18:32

Bolt is the fastest and most effective AI code editor, surpassing others.

Machine Learning Tech & Hardware
... 8:49
Discover the Future of Defense TAG Dynamics’ Armored Vehicles - AI Guard Tower & UGV at IDEX 2025!

DefenseWebTV

1+ months ago 1K views

Tag Dynamics presents five new armored vehicles and unmanned ground vehicles at IDEX, including the AI-enabled Agentic Watchtower, which enhances security via total situational awareness and threat identification. The tower operates remotely, leveraging AI to detect threats up to 2.5 km away, and can engage targets autonomously if necessary. Their vehicles feature a hybrid power system, enabling silent operation and extensive range, highlighting Tag Dynamics' commitment to safety, reliability, and innovation in modern security solutions. Collaboration and long-term partnerships are emphasized as a core principle of their business model.
03:00 - 03:26

Remote operation of weapon systems allows targeted engagement based on AI assessments.

TAG Dynamics Autonomous Systems Government
... 5:50
Decentralized SuperAI and Multi-Model AI Agents Platform.

CryptoTrainer

1+ months ago 5K views

AI is revolutionizing how individuals can engage with technology through decentralized networks. EDI is a pioneering decentralized super AI network that combines multiple AI models into a cohesive system, making advanced AI accessible while substantially reducing costs. By leveraging community contributions and decentralized computing, EDI enables users to actively participate, earn rewards, and invest in AI infrastructure, ensuring wider accessibility and equitable benefits from AI advancements. Security and privacy are prioritized through quantum-resistant encryption and advanced techniques. EDI represents a transformative movement to democratize AI, allowing everyone to contribute to and benefit from this technological evolution.
03:08 - 03:14

EDI utilizes neural atoms for efficient distributed processing instead of massive models.

EdithX Machine Learning AI Startups
... 5:50
Decentralized SuperAI and Multi-Model AI Agents Platform.

CryptoTrainer

1+ months ago 5K views

AI is revolutionizing how individuals can engage with technology through decentralized networks. EDI is a pioneering decentralized super AI network that combines multiple AI models into a cohesive system, making advanced AI accessible while substantially reducing costs. By leveraging community contributions and decentralized computing, EDI enables users to actively participate, earn rewards, and invest in AI infrastructure, ensuring wider accessibility and equitable benefits from AI advancements. Security and privacy are prioritized through quantum-resistant encryption and advanced techniques. EDI represents a transformative movement to democratize AI, allowing everyone to contribute to and benefit from this technological evolution.
03:08 - 03:14

EDI utilizes neural atoms for efficient distributed processing instead of massive models.

EdithX Machine Learning AI Startups