The hottest ML Research Substack posts right now

And their main takeaways
Category
Top Technology Topics

The Transformer Robots are Here, Just a Different Kind

TheSequence • 693 implied HN points • 07 Jan 24
🕹 Technology Robotics AI ML Research AI Radar
  1. Advancements in foundation models like language and computer vision are shaping a new era of robotic applications.
  2. Google DeepMind introduced innovative methods like AutoRT and SARA-RT to enhance robotic actions using vision-language models.
  3. The integration of foundation models in image, language, and video is accelerating robotics to new levels of efficiency.
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Text-to-Video Games and 1-Bit Models: Two Monumental Generative AI Research Milestones in One Week

TheSequence • 77 implied HN points • 03 Mar 24
🕹 Technology AI Generative AI ML Research AI Tech Releases Real World ML
  1. Genie by Google DeepMind can create 2D video games from text, opening doors to interactive environments in simulations, gaming, and robotics.
  2. BitNet b1.58, a 1-bit model by Microsoft and University of Chinese Academy of Sciences, offers cost-efficient and high-performance training for Large Language Models (LLMs).
  3. The pace of research in generative AI is rapid, leading to groundbreaking advancements like Genie and BitNet b1.58.

Google Goes Small and Open Source with Gemma

TheSequence • 84 implied HN points • 25 Feb 24
🕹 Technology AI Open Source Generative AI ML Research AI Tech Releases
  1. Google released Gemma, a family of small open-source language models based on the architecture of its Gemini model. Gemma is designed to be more accessible and easier to work with than larger models.
  2. Open-source efforts in generative AI, like Gemma, are gaining traction with companies like Google and Microsoft investing in smaller, more manageable models. This shift aims to make advanced AI models more widely usable and customizable.
  3. The rise of small language models (SLMs) like Gemma showcases a growing movement towards more efficient and specialized AI solutions. Companies are exploring ways to make AI technology more practical and adaptable for various applications.

More Super Models is All We Need

TheSequence • 77 implied HN points • 18 Feb 24
🕹 Technology AI/ML Tech Releases ML Research Real World ML AI Radar
  1. Last week saw the release of five major foundation models in the generative AI space, each from a different tech giant, showcasing innovative advancements in various areas like text-to-video generation and multilingual support.
  2. These new models are not only significant for the future of generative AI applications but also highlight the unique innovations and contributions made by different companies in the AI field.
  3. The continuous evolution and release of these super models are driving progress and setting new standards in the field of generative AI, pushing boundaries and inspiring further advancements.

Edge 273: Horizontal Federated Learning

TheSequence • 133 implied HN points • 14 Mar 23
🕹 Technology ML Research
  1. Horizontal Federated Learning involves datasets across nodes sharing the feature space but differing in the sample space.
  2. Google's research on Personalized Federated Learning addresses privacy challenges by allowing custom modifications to the global model at node level.
  3. Syft is a framework combining federated learning, secure multi-party computations, and differential privacy to enable private computations in deep learning models.