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This tech news feed is from the “MarkTechPost”, a California-based Artificial Intelligence News Platform with a community of 1.5 Million+ AI Professionals/ Developers. Marktechpost brings AI research news that is much more technical than most resources but still digestible and applicable. You can preview the latest news feed for “MarkTechPost” here at Bookmarks For Techs.

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  • MicroPython Testbed for Federated Learning Algorithms (MPT-FLA) Framework Advancing Federated Learning at the Edge
    The Python Testbed for Federated Learning Algorithms (PTB-FLA) is a low-code framework developed for the EU Horizon 2020 project TaRDIS, aimed at simplifying the creation of decentralized and distributed applications for edge systems. Written in pure Python, PTB-FLA is lightweight and easy to install, making it suitable for small IoT devices. It supports both centralized […]
  • This AI Paper Discusses How Latent Diffusion Models Improve Music Decoding from Brain Waves
    Brain-computer interfaces (BCIs) focus on creating direct communication pathways between the brain and external devices. This technology has applications in medical, entertainment, and communication sectors, enabling tasks such as controlling prosthetic limbs, interacting with virtual environments, and decoding complex cognitive states from brain activity. BCIs are particularly impactful in assisting individuals with disabilities, enhancing human-computer […]
  • Quantum Machine Learning for Accelerating EEG Signal Analysis
    The origins of quantum computing trace back to Richard Feynman’s ideas of simulating various Hamiltonians using controlled quantum systems, with David Deutsch later formulating the theory of quantum Turing machines. This led to the proposal of numerous quantum algorithms, driving rapid advancements in quantum computing. Quantum machine learning (QML), an interdisciplinary field, aims to accelerate […]
  • Meet Verba 1.0: Run State-of-the-Art RAG Locally with Ollama Integration and Open Source Models
    Retrieval-augmented generation (RAG) is a cutting-edge technique in artificial intelligence that combines the strengths of retrieval-based approaches with generative models. This integration allows for creating high-quality, contextually relevant responses by leveraging vast datasets. RAG has significantly improved the performance of virtual assistants, chatbots, and information retrieval systems by ensuring that generated responses are accurate and […]
  • TRANSMI: A Machine Learning Framework to Create Baseline Models Adapted for Transliterated Data from Existing Multilingual Pretrained Language Models mPLMs without Any Training
    The increasing availability of digital text in diverse languages and scripts presents a significant challenge for natural language processing (NLP). Multilingual pre-trained language models (mPLMs) often struggle to handle transliterated data effectively, leading to performance degradation. Addressing this issue is crucial for improving cross-lingual transfer learning and ensuring accurate NLP applications across various languages and […]
  • CinePile: A Novel Dataset and Benchmark Specifically Designed for Authentic Long-Form Video Understanding
    Video understanding is one of the evolving areas of research in artificial intelligence (AI), focusing on enabling machines to comprehend and analyze visual content. Tasks like recognizing objects, understanding human actions, and interpreting events within a video come under this domain. Advancements in this domain find crucial applications in autonomous driving, surveillance, and entertainment industries. […]
  • ALPINE: Autoregressive Learning for Planning in Networks
    Large Language Models (LLMs) such as ChatGPT have attracted a lot of attention since they can perform a wide range of activities, including language processing, knowledge extraction, reasoning, planning, coding, and tool use. These abilities have sparked research into creating even more sophisticated AI models and hint at the possibility of Artificial General Intelligence (AGI).  […]