You *can* switch topics and advisors, and that's *not* a bad thing.
@mit_csail
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Prevent Carpal Tunnel: Choose Right Mouse and Keyboard
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Carpel tunnel happens. Take the time to pick out a mouse and keyboard to prevent it before it does.
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Research Motivation: Finding Joy in Scientific Inquiry
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Someone (
@aleks_madry
) told me that research should be fun. It's hard, but if you're not enjoying it then you're not doing it right. While some might disagree, I've found that finding people and topics that keep me engaged and curious is the trick to staying in the program. -
MIT EECS PhD Life Hacks: Practical Advice for Graduate Students
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MIT EECS PhD Life Hacks: A thread by an MIT EECS PhD student (
@aspenkhopkins
) -
CSAIL PhD Students Share AI Research Through Social Media Takeover
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See the earlier twitter post! This is a CSAIL social media takeover—every 5-6 months, a PhD student or former student is asked to “take over” twitter, instagram etc to make PhD students’ experiences and research more accessible to the public. Hope that answers your question 🙂
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PhD Student Shares AI Transparency and Interpretability Research Insights
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Hi! This is @aspenkhopkins
! I’m a PhD student in @aleks_madry
’s group. I work on AI/ML transparency, interpretability and fairness. I’ll be taking over CSAIL’s socials for the next couple of days to talk about research, life, and living in Cambridge. Stay tuned ~ -
Liquid Neural Networks Enable Adaptive Autonomous Navigation Systems
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Liquid neural networks are flexible ML models that learn on the job & can adapt to new data inputs in out-of-distribution scenarios. CSAIL Director Daniela Rus on the potential of these brain-inspired agents in autonomous navigation: https://
bit.ly/3rowScg @Forbes -
MIT Team Advances 3D Packing Using Fast Fourier Transform
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NP-hard has long complicated 3D packing, but an MIT-led team applied the fast Fourier transform to the problem.
— MIT CSAIL (@MIT_CSAIL) 7 juillet 2023
The result: a novel packing algorithm that searches for placement locations in an object, potentially making 3D packing much more efficient: https://t.co/BtzftXNP7N pic.twitter.com/40hpupKnknNP-hard has long complicated 3D packing, but an MIT-led team applied the fast Fourier transform to the problem. The result: a novel packing algorithm that searches for placement locations in an object, potentially making 3D packing much more efficient: http://
bit.ly/3NIRh32 -
Machine Learning Systems Explained Through Comic Illustration
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Machine learning systems, explained. Comic v/
@xkcd -
Vision System Combines Image Generation and Recognition via Masking
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Vision system marries image generation and recognition by inferring the missing parts of an image. It uses a variable masking strategy during pre-training, helping a neural net fill in the gaps for tasks like editing and learning: https://
bit.ly/3r4QL7Y