ProRobot

Educational Research Hub for Software and Hardware Innovations

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  • Educational Hub for Robotics and AI

    Prorobot.ai serves as an educational resource dedicated to teaching the fundamentals and advanced concepts of robotics and artificial intelligence. The site features online courses, tutorials, webinars, and a community forum for students, hobbyists, and professionals to learn, share knowledge, and collaborate on projects.

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    Konstantin Yurchenko, Jr.

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  • Marketplace for Robotics Technology

    Prorobot.ai is an online marketplace where developers, manufacturers, and consumers can buy, sell, and trade robotic components, software, and complete systems. The site offers a review section for products, a blog with the latest news and trends in robotics, and a support center to assist users with their purchases and technical issues.

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    Konstantin Yurchenko, Jr.

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  • Llama.cpp: General Benefits and Potential Use Cases

    Llama.cpp can help you in several ways depending on your specific use case. Here are some general benefits and potential use cases:

    1. Efficient LLM inference: Llama.cpp enables you to run Large Language Models (LLMs) on a wide variety of hardware, including your CPU, GPU, or even on a Raspberry Pi. This means you can run LLMs locally without the need for expensive GPUs or cloud services.
    2. Low-level optimizations: Llama.cpp is optimized for different architectures, including x86, ARM, and Apple silicon. This allows you to squeeze every ounce of performance out of your hardware, making LLMs more efficient and accessible.
    3. Quantization support: Llama.cpp supports 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization. This means you can make LLMs smaller and faster without sacrificing too much accuracy.

    Here are some potential use cases for llama.cpp:

    • Text generation: You can use llama.cpp to generate text based on a prompt, like a digital Shakespeare.
    • Text classification: Llama.cpp can classify text into different categories, like a digital librarian.
    • Text summarization: Llama.cpp can summarize long texts into bite-sized chunks, like a digital news anchor.
    • Chatbots: You can use llama.cpp to build chatbots that can respond to user queries.
    • Code generation: Llama.cpp can generate code snippets based on a prompt
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    Konstantin Yurchenko, Jr.

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  • Safeguarding Humanity: Asimov's Three Laws of Robotics

    The three laws of robotics, as proposed by Isaac Asimov, are:

    1. A robot may not injure a human being or, through inaction, allow a human being to come to harm. This law is crucial as it ensures the safety of humans. It prevents robots from causing harm either intentionally or unintentionally, which is essential in a world where robots and humans interact closely.
    2. A robot must obey the orders given it by human beings except where such orders would conflict with the First Law. This law ensures that robots remain under human control and do not act autonomously in ways that might endanger humans. It maintains the hierarchy of control and decision-making, with humans at the top.
    3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Law. This law ensures that robots take necessary actions to preserve their functionality and existence, which is important for their effective operation. However, this self-preservation should never override the safety and well-being of humans, as dictated by the first two laws.
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    Konstantin Yurchenko, Jr.

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Five with MIT ties elected to National Academy of Medicine for 2025

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Professors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service.

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Creating AI that matters

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How the MIT-IBM Watson AI Lab is shaping AI-sociotechnical systems for the future.

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New software designs eco-friendly clothing that can reassemble into new items

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To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.

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Method teaches generative AI models to locate personalized objects

8 days ago

After being trained with this technique, vision-language models can better identify a unique item in a new scene.

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