The hottest Robotics Substack posts right now

AI partnerships are advancing industrial automation by improving quality, throughput, and worker safety.
Businesses are investing in new technologies like sensors, robotics, 3D printing, and AI to enhance manufacturing processes.
Government initiatives like Made Smarter are driving tech investments in SMEs for industry growth and sustainability.

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Automation apprentices powered by large language models speed up industrial automation integration.
Large language models improve development, deployment, and training phases in factory automation.
LLMs simplify operator interaction with the system, providing guidance and troubleshooting assistance.

Deepmind is working on multimodality, embodiment, and interaction in addition to language models.
Iterative improvements from feedback are crucial for building successful systems and bridging gaps.
Deepmind is exploring deep reinforcement learning in language models, but its deployment in Gemini is uncertain.

Autonomous agent is still an open problem in AI, especially with current language models lacking agency and planning
Approximate models like current LMs can cause issues in tasks such as generating legal moves in games
Even games AI like AlphaGo, while strong, can be exploitable before reaching optimal performance

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AI-powered robots could soon be sorting out recycling for efficiency.
Dutch and British firms collaborate to develop advanced trash sorters.
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Robotic grippers are becoming more tactile and AI-enabled across various industrial processes, signaling advancements in technology in the industrial sector.
Investments and partnerships in AI, robotics, and technology are driving significant transformations in various industries like waste management, pharmaceutical manufacturing, and industrial automation.
Innovations like Viscous Lithography Manufacturing (VLM) in 3D printing are showcasing unique and disruptive approaches to traditional manufacturing processes.

Multimodal AI aims to combine computer vision, speech recognition, and natural language processing to enable more natural ways of teaching and interacting with AI.
Unlike text-based AI models, multimodal AI can pick up on emotions, humor, and intent conveyed through tone, body language, and context, leading to more empathetic interactions.
Adding additional sensory input modalities like vision and sound to AI systems can enhance applications in sectors like healthcare, education, and finance, making them more effective and valuable.

Gaming is a proving ground for generative AI, with technologies like large language models being adopted for more immersive player experiences.
OpenAI became a central figure in the tech world in 2023, showcasing the potential of generative AI and large language models.
Researchers are utilizing references like Harry Potter to better understand and develop artificial intelligence technologies.