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CYBORG SCIENCE
Cyborg Science is part of the following field guides:
Insider Insights
Tips from Pat Pataranutaporn
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Persistence makes a big difference. People are busy and science is competitive. Even if you get rejected or your dream mentor doesn’t have time to meet with you, don’t let that stop you. Keep (respectfully) reaching out, attend talks and events where you can build real relationships with people, do your research and show people you care about their work. Putting real time, energy, and thought into the people and ideas you’re interested in can make you stand out amongst the masses.
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Initially, I was interested in chasing the “cool” factor in terms of research. Over time, I’ve learned the importance of looking beyond the immediate trend and striving for lasting impact. Trends will come and go, but certain themes remain relevant and stand the test of time. Build skills, dispositions, and experiences that will keep you grounded and focused throughout your journey.
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Imagination lets us dream up incredible things that don’t exist yet. It’s a powerful way to use your creativity to explore new discoveries, so figure out what sparks your mind. Go to places that make you feel inspired to be part of creating what happens next. The future of human flourishing is only limited by what we can imagine.
Related Scientists
Discover the work and stories of other people working in applied sciences and tech + computer science.
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Bayan Mashat
Game Developer & Ballroom Dancer
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Christine Ortiz
Materials Scientist & Adventurer
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Jessica Brillhart
Immersive Designer & Gardener
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Shriya Srinivasan
Neural Interface Engineer & Sailor
Recommended Resources
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Learn about MIT Media Lab
There are some programs that are highly creative and interdisciplinary. Check out MIT’s unique Media Lab, where STEM fields are applied in cutting-edge ways.
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Build Your Skills
Want a breezy starting point for learning about programming? Check out the Scratch tool at MIT, where you can work on coding skills through stories and animations.
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Explore with TensorFlow
Google offers excellent tools for teaching AI and machine learning, including TensorFlow Playground for hands-on neural network experiments. It simulates learning by adjusting virtual neuron connections based on success or failure. Advanced learners can also explore Google’s Machine Learning Crash Course for deeper AI insights.
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Build an AI Playground
RAISE AI Playground is an educational platform for learning AI and machine learning through block-based programming. It addresses gaps in K-12 AI curricula by enabling body-interactive projects using camera and microphone inputs. Students at SkoolOfCode use it to build engaging AI projects like chatbots and interactive games.
This spotlight was created in partnership with IF/THEN and MacGillivray Freeman Films for Superhuman Body: World of Medical Marvels.
This cinematic partnership explores cutting edge frontiers of biotechnology and health. Superhuman Body: World of Medical Marvels takes audiences inside the wonders of the human body and the incredible breakthroughs in science and bioengineering that are changing the course of human health. The film was released in theaters in April 2024.
WEBSITE →
VIEW the superhuman body COLLECTION →
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