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AI and Robotics Applications3 min read444 words

💡 Domain Sales - Blueprint.io

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💡 Domain Sales - Blueprint.io

This article reports on a domain name transaction and the availability of a related domain. It details the sale price of Blueprint.io and identifies another related domain as currently obtainable.

Key Points:

• The Blueprint.io domain was sold for $39,000.

• The domain BlueprintGen.com is currently available.

🔗 Resources:

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🤖 Robotics Research - Elephant-Inspired Soft-Trunk Motion

This article details research on grounding semantic commands to actuation in elephant-inspired soft robots. The method uses lightweight flow matching to control whole-body motion.

Key Points:

• Research focuses on connecting semantic commands to robot actuation.

• The study uses elephant-inspired soft-trunk designs.

• Lightweight flow matching is used for motion control.

🔗 Resources:
arXiv ↗ - Paper on semantic-to-actuation grounding in soft robotics

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💡 AI Strategy - From Research to Deployment

This article discusses a perspective on the current challenges in artificial intelligence, stating that deployment, rather than research, now presents the main obstacles. It proposes a shift in focus towards practical application.

Key Points:

• AI's primary problems are now in deployment, not core research.

• There is a need for more robotics companies focused on implementation.

• The emphasis should shift from pure research labs to practical application.

🔗 Resources:

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💡 Innovation Principles - Incremental Engineering

This article highlights that innovation often results from numerous small engineering improvements rather than a single major discovery. It uses the sewing machine as an example of this iterative development process.

Key Points:

• Innovation frequently stems from cumulative engineering improvements.

• The sewing machine evolved through many individual design changes.

• Iterative enhancements contribute to scalable innovation.

🔗 Resources:
Moonpreneur ↗ - Article on the sewing machine's unexpected evolution


🤖 AI Models - Inkling-Small

This article discusses the upcoming Inkling-Small model, noting its reported multi-modal capabilities at a 276 billion parameter size. Performance scores are mentioned as promising, pending release.

Key Points:

• Inkling-Small is an upcoming multi-modal model.

• It is specified at 276 billion parameters.

• Reported scores are notable for its size.

🔗 Resources:

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🤖 AI Models - Inkling Open Weights

This article introduces Inkling as an open-weights model designed as a foundation. It aims for solid performance across various capabilities, supporting practical use and customization.

Key Points:

• Inkling is an open-weights model.

• It functions as a foundational model.

• The model supports practical application and customization.



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Drix10
Written by Drix10

Co founder @ PartPilot | 1 x Acquired Founder | Canopy @ f.inc | Cybersec @ DSU | 2x International Hackathon 🏆. Read more on drix10.com.