#machinelearningrevolution kết quả tìm kiếm

🚀 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗡𝗼𝘁𝗲𝘀 (𝗛𝗮𝗻𝗱𝘄𝗿𝗶𝘁𝘁𝗲𝗻 𝗣𝗗𝗙) Master the core of 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 —algorithms, models, training, evaluation & real-world examples. Perfect for interviews & AI enthusiasts! 🤖📊 📘FREE for the first 500 people! 1.…

✨️AI Summit at @ERAU_Daytona 2025✨️ Good memories 2022: "Machine Learning Becomes a Mathematical Collaborator: Feed a model health data and it will output a diagnosis; show it an image of an animal and it will reply with the name of the species".

🚀 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗡𝗼𝘁𝗲𝘀 (𝗛𝗮𝗻𝗱𝘄𝗿𝗶𝘁𝘁𝗲𝗻 𝗣𝗗𝗙) Master the core of 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 —algorithms, models, training, evaluation & real-world examples. Perfect for interviews & AI enthusiasts! 🤖📊 1. Like & Repost 2. Comment “ML” 3.…

🚨 MIT just humiliated every major AI lab and nobody’s talking about it. They built a new benchmark called WorldTest to see if AI actually understands the world… and the results are brutal. Even the biggest models Claude, Gemini 2.5 Pro, OpenAI o3 got crushed by humans.…

🚨 Carnegie Mellon just dropped one of the most important AI agent papers of the year. It’s called “Training Proactive and Personalized LLM Agents.” Here’s the wild part... they didn’t train agents to just complete tasks. They trained them to talk better. Most AI agents are…

1/9 Corporate algorithms are shaping your worldview, and you probably don’t even realize it. Google decides what you discover. Reddit curates what you see. Amazon controls what you buy. Now, LLMs are becoming the single source of “truth” for billions.

The Future of AI is here, and it's mind-blowing. Discover the AI tools that will skyrocket your productivity. 🚀 [🔖 Bookmarking Now ]

🚨 AI just broke its own scaling laws. Alibaba’s new release 'Tongyi DeepResearch' might be the biggest plot twist of 2025. It’s a 30B parameter agent that outperforms GPT-4o and DeepSeek-V3, yet it only uses 3.3B active parameters. The model is fully open-source and was…

The data economy is changing. ⚫️ Running a node no longer means giving up privacy. It means transforming idle bandwidth into collective intelligence. Private by design. Useful by contribution

The next era of AI infrastructure is happening today. @Infinit_Labs is redefining what’s possible with cutting-edge compute, smart systems, and infinite scalability. This is where concepts become reality and AI grows beyond boundaries. Can’t wait to see what’s next!

Everyone talks about AI improving software. The real revolution? AI building the hardware. Robots building robots. Chips designing chips. Data centers constructing themselves. This changes everything.

1/ This is really exciting: Google Research introduces Nested Learning - a new paradigm for continual learning that could redefine how AI systems evolve over time. Instead of static training cycles, models now learn in nested layers with different update speeds - a step toward…

another solid breakthrough from Google... they're introducing nested learning: "a new ML paradigm for continual learning" 'Hope' is a self-updating, long-context memory architecture that generalizes 'Titans' beyond two update levels, allowing continual learning without…

Machine Learning is a new programming paradigm. In normal programming, we've to clearly tell machines what to do. In ML, it's different. We give machine what we want (results) along with data that contain it, and the role of machine is to find pattern (rules) linking these two.

AI is revolutionizing healthcare, from diagnosis to drug discovery. Machine learning algorithms can analyze vast amounts of medical data to assist in early disease detection and personalized treatment plans. #technology #ai

Nested Learning How can you learn throughout your life and never forget anything? What is the life expectancy? #US #AI

Really fascinating neuro analogous approach taken by this Google research team The next breakthrough in LLMs will come from smartly replicating neurophysiological structures and processes we can observe in the brain

🚨 Breaking: AI coding just leveled up. Imagine describing the software you want to build, and AI simulates it before a single line of code is written. No chaos. No rewrites. Just precise, production-ready builds. Here’s why this changes everything ↓

the way they define the architecture of transformers with memory, dude, so short, and so poetic. Semantic density to the max. I love writings like this