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... 10:33
SmolDocling OCR: The Best Open Source AI Model for OCR 🚀

AI Anytime

1+ months ago 2K views

Small Doling is an ultra-compact open-source vision language model designed for document understanding and OCR tasks. It boasts 256 million parameters and outperforms existing models like M in optical character recognition. The model provides efficient processing capabilities for various document types and can handle tables, equations, and other structures. Demonstrated through an app, users can convert images to text, markdown, and other formats quickly. Future improvements include enhanced chart recognition and multi-page inference. The accessible codebase supports broader experimentation and implementation in document processing tasks.
03:16 - 03:43

Overview of Small Doling OCR app functionalities for document processing.

Image Recognition Education
... 12:54
Sogni AI Airdrop: Claim Free Testnet Tokens & Earn Big! (Limited Time!)

DAVES_CRYPT 🐐

1+ months ago 1K views

A significant airdrop of 40 million tokens of the SO G N I token, associated with the AI project Suy AI, is set to occur in 18 days. Interested users can begin positioning themselves for participation by signing up on the dedicated platform, verifying their email, joining Discord, and claiming rewards. The project has already raised $2 million in funding and secured backing from notable investors including CoinGecko and Oystar Ventures. Detailed instructions are provided for users to ensure they fully engage with the airdrop process and leverage referral benefits.
Sogni AI Blockchain Finance
... 16:4
MCP Explained: The Future of AI Agent Integrations with your Data and Tools

MG

1+ months ago 1K views

mCP, or Model Context Protocol, serves as a standardized, universal way to connect AI agents and language models to various resources such as tools and APIs, similar to a USB-C connection for devices. Announced by Entropic in late 2023, mCP aims to streamline integrations by eliminating the need for custom code while addressing issues like authentication and access. The protocol supports prompts, resources like databases, and tools for API calls, making it model-agnostic. This video contrasts mCP with LangChain, noting that while both serve AI integration purposes, mCP standardizes communication, offering high reusability and easier implementation across various applications.
03:12 - 03:39

Comparison of mCP with traditional app integration methods highlights mCP's streamlined approach.

Machine Learning AI Trends
... 20:
IGHS66 - AI and Data Hygiene: Keys to Success with Dr. Galina Datskovsky

InfoGovHotSeat

1+ months ago 2K views

Key insights emphasize the critical intersection of AI and information governance (IG), highlighting that robust IG practices are essential for effective AI implementation. Clean and organized data enables successful AI adoption, while poor data hygiene leads to suboptimal outcomes. The importance of aligning data semantics across various departments is stressed as well, ensuring coherent AI results. Discussions include the need for proper user training to facilitate AI adoption and the shift towards modern, flexible IG products integrating AI capabilities. Emphasizing mobility and disposition in IG practices enhances organizational adaptability to evolving technologies.
17:37 - 17:57

User training and data hygiene are essential for successful AI rollout and adoption.

Big Data Analytics Education
... 21:51
Applicability of AI and the security that surrounds it

Shira Rubinoff

1+ months ago 70K views

AI systems must maintain data integrity, prevent misuse, and evolve continuously. With AI-enabled security, organizations can detect threats in real-time, allowing for rapid mitigation. The current landscape involves both fear of AI's capabilities and misconceptions about its problem-solving ability. Effective cybersecurity requires a strategic approach, emphasizing risk management alongside business outcomes. As digital transformation accelerates, the role of CISOs expands, requiring them to understand both technical and business contexts to enhance organizational resilience and user trust. Ongoing education and collaboration are key to navigating the evolving threats with AI technologies.
05:01 - 05:07

AI should enhance business operations while maintaining vigilance in security.

Ethical AI frameworks 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
... 11:19
Best Practices for Ensuring Data Quality and Integrity in the AI Pipeline

Insight Jam

1+ months ago 1K views

Data provenance and lineage are crucial for accurate threat detection and mitigation in cybersecurity. Establishing proper governance frameworks ensures stakeholders understand data classification, integrity, and provenance. It is vital to implement automated tools for data validation and cleansing, especially in AI environments. The software engineering discipline is necessary to maintain data integrity and prevent errors. Continuous monitoring and audits for anomalies are essential, particularly in national security, where secure data storage and access control are paramount. Ensuring the reliability and consistency of data fosters trust in the models developed from it.
04:47 - 05:09

Organizations face challenges in acquiring and managing vast amounts of data.

Ethical AI frameworks Research & Innovations
... 8:29
IPA Stock - AI Company to Watch (Update)

Blaze Capital

1+ months ago 10K views

Immuno Precise Antibodies (IPA), listed on NASDAQ as IPA, aims to revolutionize healthcare and drug discovery through its patented Lens AI technology. With over 90% of clinical drug developments failing, IPA addresses this challenge by accelerating drug discovery and integrating artificial intelligence with biological data. Their HFT patterns program introduces unique signature sequences, enabling the harmonization of complex biological data. The potential market for AI in drug discovery is projected to be worth $24.6 billion by 2029. The company is making strides in developing precision-targeted treatments, particularly for cancer, enhancing drug efficacy with fewer side effects.
04:01 - 04:06

In silico antibodies targeting tumor proteins show AI's efficacy in drug development.

Immunoprecise Antibodies Ltd Finance
... 8:29
IPA Stock - AI Company to Watch (Update)

Blaze Capital

1+ months ago 10K views

Immuno Precise Antibodies (IPA), listed on NASDAQ as IPA, aims to revolutionize healthcare and drug discovery through its patented Lens AI technology. With over 90% of clinical drug developments failing, IPA addresses this challenge by accelerating drug discovery and integrating artificial intelligence with biological data. Their HFT patterns program introduces unique signature sequences, enabling the harmonization of complex biological data. The potential market for AI in drug discovery is projected to be worth $24.6 billion by 2029. The company is making strides in developing precision-targeted treatments, particularly for cancer, enhancing drug efficacy with fewer side effects.
04:01 - 04:06

In silico antibodies targeting tumor proteins show AI's efficacy in drug development.

Immunoprecise Antibodies Ltd Finance