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CSAIL article

Imagine a world where you could change the designs you see on bags, shirts, and walls whenever you want. Typical clothes would become customizable fashion pieces, while your humble abode could turn into a smart home. That’s the vision of scientists like MIT PhD student Yunyi Zhu ’20, MEng ’21: technology that can “reprogram” the appearance of personal accessories, home decor, and office items.

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Ray and Maria Stata Center

Seeing Above and Below the Canopy: Modeling and Interpreting Species Occupancy with Multimodal Habitat Representations

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CSAIL article

Ever had an idea for something that looked cool, but wouldn’t work well in practice? When it comes to designing things like decor and personal accessories, generative artificial intelligence (genAI) models can relate. They can produce creative and elaborate 3D designs, but when you try to fabricate such blueprints into real-world objects, they usually don’t sustain everyday use.

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AI x Investing: Less hype, more alpha.

Are you interested in machine learning, NLP, systems engineering, quantitative finance, or the intersection of AI and real-world decision-making? Come hear about the real state of AI in investing, including hype vs reality and how to navigate the changes. Whether you're building models, optimizing infrastructure, or curious about how AI is actually used in finance, this talk is for you. 

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CSAIL Alliances is proud to support this event run by MIT Sloan students.

The MIT Sloan Fintech Conference is one of the largest student-run conferences in the world, bringing together hundreds of industry leaders, policymakers, founders, and students to explore the most pressing issues shaping the future of fintech.

This year, join us on February 20, 2026 as we discuss how technology like advances in ML and policy (i.e., stablecoins, open banking) are enabling new fintech infrastructure, payment experiences, and customer trust hubs.

Member DiscountAlliances members are eligible for a discount for this program. Please log in to view discount instructions.
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MIT CSAIL researchers have found a way to make real-world objects with AI, creating durable items that exhibit the user’s intended appearance and texture (Credits:Image: Alex Shipps/MIT CSAIL, with assets from the researchers and Pexels).
CSAIL article

Generative artificial intelligence models have left such an indelible impact on digital content creation that it’s getting harder to recall what the internet was like before it. You can call on these AI tools for clever projects such as videos and photos — but their flair for the creative hasn’t quite crossed over into the physical world just yet.