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X-ORIGINAL-URL:https://rithub.org
X-WR-CALDESC:Events for Research Innovation Teams
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TZID:Asia/Tehran
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Tehran:20251108T190000
DTEND;TZID=Asia/Tehran:20251108T210000
DTSTAMP:20260501T110035
CREATED:20251026T145617Z
LAST-MODIFIED:20251108T153430Z
UID:993535-1762628400-1762635600@rithub.org
SUMMARY:A Real-Life Survival | Workshop for Inventors
DESCRIPTION:An intensive and practical workshop designed for inventors to tackle real-life challenges that no book has ever covered. Join us for two powerful hours filled with checklists\, formulas\, and actionable solutions — completely free and online.
URL:https://rithub.org/event/a-real-life-survival-workshop-for-inventors/
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DTSTART;TZID=Asia/Tehran:20251016T110000
DTEND;TZID=Asia/Tehran:20251016T130000
DTSTAMP:20260501T110035
CREATED:20250930T124725Z
LAST-MODIFIED:20251015T075428Z
UID:993475-1760612400-1760619600@rithub.org
SUMMARY:Artificial Intelligence Toolbox for Innovators
DESCRIPTION:What is an invention?\nAn invention is the creation of a new solution that did not previously exist—whether in structure\, method\, or application. It represents a core part of the innovation process: a journey that begins with an idea and culminates in a usable product\, service\, or technology. Many inventions fail when they do not utilize analytical and enabling tools such as artificial intelligence. The absence of data analysis\, simulation\, and predictive modeling often leads to incomplete development or high-risk outcomes. \n\n\nIn contrast\, integrating AI into the invention process can accelerate ideation\, enhance design\, uncover flaws\, and even generate unexpected insights. However\, important questions arise: Who owns an invention created with the help of AI? Is it the human\, the model\, or the organization? According to global reports from WIPO and the OECD\, the use of AI tools in research and development over the past five years has increased the rate of innovation by approximately 35% and the speed of commercialization by 27%. \n\n\nIn this module\, participants will explore the deep connection between artificial intelligence\, creative thinking\, and the process of invention and learn how to harness it in their own innovation journeys. \n\n\n1. Go Beyond “Prompt Writing” — Move Toward the Philosophy of the Prompt \n\n\nUnderstanding the human mind in interaction with the machine\nHow LLMs reflect your personality\nIntroduction to Reinforcement Learning from Human Feedback (RLHF)\nThe impact of persona in shaping creative responses\nHow tone\, logic\, and emotion influence the model’s output\nPrompt DNA: building the gene of creativity in conversations with AI\n\n\n2. The Boundary Between Science and Intuition \n\n\nTurning raw data into innovative insights\nCreating ideas beyond logical limits with LLMs\nModeling intuition within the invention process\n\n\n3. Build Contrast (Contrast-Based Learning) \n\n\nIs artificial intelligence truly creative — or not?\nA good prompt isn’t always clear; sometimes it must remain ambiguous\nCan models be more innovative than humans\, or are they simply reflections of us?\n\n\n4. Apply Concept Fusion \n\n\nCombining unrelated fields to generate new ideas\nAI + Philosophy of Mind\nAI + Industrial Design\nAI + Storytelling\n\n\n5. Create Experience (Not Just Teaching\, But Experiencing) \n\n\nWriting a prompt that generates better prompts itself\nAsking AI to creatively deconstruct the weaknesses of an invention\nSimulating different roles such as a critical investor\, a customer\, or one’s own future self
URL:https://rithub.org/event/ai-toolbox-for-innovators/
LOCATION:Online
ORGANIZER;CN="Reaserch Innovation Teams":MAILTO:info@rithub.org
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