Close

Explore AI

Explore GPTs

Explore AI News

Explore AI Videos

Explore AI for Jobs

Latest Micron AI Videos

Find the latest for Micron company videos

Follow
... 11:38
It's Still One of The BEST AI Stocks to Buy in 2025

Couch Investor

1+ months ago 4K views

Micron's latest quarterly figures show strong performance, exceeding market expectations for revenue and earnings per share (EPS). Despite a minor miss in gross margin, the overall outlook appears solid with anticipated growth in high-bandwidth memory (HBM) segments. The company achieved significant year-over-year growth in crucial segments, particularly compute and networking, where revenue rose notably due to rising HBM sales. Micron remains competitive in investing in capacity expansion and innovation, positioning itself favorably for continued growth and margin improvement, particularly as it faces short-term headwinds in some sectors.
08:14 - 08:16

Demand for HBM expected to surge, with strong adoption anticipated in 2026.

Micron Finance
... 24:26
Claude MCP has Changed AI Forever - Here's What You NEED to Know

Cole Medin

1+ months ago 13K views

mCP, developed by Anthropic, standardizes how tools are provided to AI agents, providing unprecedented ease for developers. This protocol enables the integration of diverse services into AI applications, enhancing productivity significantly. mCP's persistent significance distinguishes it from fleeting AI trends, providing real value over time, and facilitating better-designed AI agents. The speaker emphasizes the importance of adopting mCP to harness its capabilities effectively while illustrating its practical application in real-time projects with examples and a walkthrough of integration with common tools and platforms, including Python and n8n workflows.
05:37 - 05:55

mCP servers standardize AI tool integration, improving compatibility across frameworks.

Natural Language Processing (NLP) AI Trends
... 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
... 13:27
MCP & n8n Automation: The Ultimate Guide for MCP AI Agents (2025)

Andy Lo

1+ months ago 3K views

mCP, or model context protocol, is an open-source standard developed by Anthropic, designed to provide AI systems with a universal method to connect to external data sources and tools. It's comparable to a USB-C port, allowing different AI applications to easily integrate a variety of data without custom code. The tutorial explores how to implement mCP in neural networks (NN), demonstrating its efficiency in accessing API tools with minimal manual input. Key challenges of mCP, including token limits and unpredictable results, are discussed, emphasizing the potential for streamlined AI operations.
04:00 - 04:06

Comparison of traditional AI setup versus mCP highlights efficiency in tool integration.

MCP Machine Learning Education
... 12:14
Chinese Scientists Create SUPER FAST AI Chip from Carbon!

Classified Defense Files

1+ months ago 3K views

A cutting-edge carbon-based AI chip processes data 1,000 times faster than silicon chips, drastically reducing training times for complex AI models from days to minutes. This innovation, developed by Chinese scientists, boasts significantly lower energy consumption and promises to transform various sectors, including healthcare and climate science. The chip utilizes carbon nanotubes and memristor technology, allowing for unprecedented parallel processing efficiency and overcoming traditional silicon limitations. Reports suggest that this technology could significantly reduce global energy demands from AI, realigning with sustainability goals and facilitating innovations like real-time language translation and medical diagnostics.
03:20 - 03:28

AI training energy needs compared to a small city's consumption, emphasizing efficiency.

AI hardware Research & Innovations
... 17:2
This Tiny 1TB Memory Chip Will Change AI Forever!

ipXchange

1+ months ago 4K views

Micron's latest innovations in memory and storage focus on enhancing mobile devices with low-power LPDDR memory and UFS 4.1 storage, enabling up to a terabyte of data storage on a compact chip. As AI continues to evolve, understanding latency and memory efficiency becomes essential for improving application performance. Faster memory reduces processing time for AI models, which is critical for enhancing user experience, particularly in generative AI applications. Future mobile devices are expected to incorporate AI more seamlessly, allowing for proactive interactions that adapt to user habits and preferences, all while maintaining privacy and efficiency.
07:46 - 09:00

Future AI integration will enable proactive user interactions and personalized experiences.

Micron AI hardware Tech & Hardware
... 12:51
You NEED to Learn MCP RIGHT NOW! (AI Superpowers!)

Creator Magic

1+ months ago 16K views

MCP, or Model Context Protocol, is a versatile framework that enhances AI capabilities by enabling tasks such as file management and web interactions. The installation process can be simplified through Claude, a desktop application, which makes accessing diverse MCP tools seamless. Examples showcased include reading files with the file system MCP server, utilizing Puppeteer for web automation, and leveraging Qdrant as an advanced database for AI responses. This demonstrates how MCP can significantly streamline various AI applications and enhance user interactions through a unified approach.
03:36 - 04:02

Puppeteer enables browser-based interactions for forms and online tasks.

Machine Learning Education
... 4:21
Phi-4 Mini & Multimodal: Microsoft just CRUSHED GPT-4O & Gemini 2.0 Flash!

AISeeKing

1+ months ago 4K views

Microsoft has launched the new 54 mini, a compact multimodal model featuring 3.8 billion parameters and a 128k token context length. Enhanced with supervised fine-tuning and direct preference optimization, it outperforms models like llama 3.23 B and instruct mistol 3B in benchmarks. The 54 multimodal model supports text, image, and audio inputs, offering strong speech recognition capabilities. Both models can be run locally and accessed via platforms like Hugging Face and Nvidia playground. Overall, these advancements underscore a notable shift towards more capable and efficient local AI applications.
02:12 - 02:26

Multimodal model excels in OCR benchmarks against Gemini 2.0 Flash.

Microsoft Natural Language Processing (NLP) AI Trends
... 4:21
Phi-4 Mini & Multimodal: Microsoft just CRUSHED GPT-4O & Gemini 2.0 Flash!

AISeeKing

1+ months ago 4K views

Microsoft has launched the new 54 mini, a compact multimodal model featuring 3.8 billion parameters and a 128k token context length. Enhanced with supervised fine-tuning and direct preference optimization, it outperforms models like llama 3.23 B and instruct mistol 3B in benchmarks. The 54 multimodal model supports text, image, and audio inputs, offering strong speech recognition capabilities. Both models can be run locally and accessed via platforms like Hugging Face and Nvidia playground. Overall, these advancements underscore a notable shift towards more capable and efficient local AI applications.
02:12 - 02:26

Multimodal model excels in OCR benchmarks against Gemini 2.0 Flash.

Microsoft Natural Language Processing (NLP) AI Trends