Machine Learning at Georgia Tech
@mlatgt
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The Machine Learning Center at Georgia Tech (ML@GT) is an interdisciplinary research center that trains the next generation of #machinelearning & #AI pioneers.
Atlanta, GA
Joined October 2016
Georgia Tech researchers are breaking new ground in how #AI impacts human language. They will share their latest published work at @emnlpmeeting in mid November. Right now, you can explore 16 teams with college faculty experts, along with their dynamic solutions for breaking
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This fall, eight preeminent computer scientists will be featured in the online lecture series Turing Minds. The series includes six Turing Award winners and kicks off this Friday. On Oct. 4, pioneering computer scientist and Turing Award recipient Joseph Sifakis will be the
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#ECCV2024 has honored this computer vision research as one of 15 Best Paper Award candidates 🎉! Congrats to the team and lead author Bolin Lai, PhD student in Machine Learning at @GeorgiaTech.
LEGO can show you how it's done! New @eccvconf work from @bryanislucky, a new generative tool can produce visual images to accompany step-by-step instructions with just a single first-person photo uploaded into the prompt. #wecandothat🐝 @GTResearchNews
https://t.co/SYafClSFng
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Our research experts in computer vision are making ready to present their advancements to the world in Milan, Italy, this week. Take your own tour of the innovations @GeorgiaTech experts have made in this key area of artificial intelligence. Our teams have made breakthroughs
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Face recognition (FR) using web images and other sources can be abused for privacy intrusion. New research from @GeorgiaTech and @HKUniversity introduces Chameleon, a system that creates a "mask" for protection against unauthorized facial recognition. One mask can be used to
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@GeorgiaTech @HKUniversity @eccvconf A @GeorgiaTech team is accelerating computer vision research for aerial vehicles with a new dataset that simulates real-world conditions. The sky's the limit for the capabilities the data could produce, including safer, more reliable autonomous flying vehicles in urban areas.
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Our latest story made it into today's Daily Digest! Check out how Georgia Tech-led research is contributing to @NASA's Mars 2020 mission while helping study Earth's climate and ecology! Check out the story in the 🔗👇 https://t.co/0dBx15FlO8
@PoloChau @designinspace
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Computers that can see what humans see aren’t too far off into the future, and some are already here. Programs that can recognize your face are commonplace. Autonomous machines are learning to tell what the weather is like based on vision and they’re gaining domestic cleaning
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A Georgia Tech professor is in Paris for her fourth @Paralympics. Cassie Mitchell refuses to let a degenerative neurological condition slow her down and will compete in discus throw — seeking her third medal and first gold 💪🏅| https://t.co/KB5od3Ytu9
coe.gatech.edu
It may be harder than ever to medal this time, but the BME faculty member is also working harder than ever to make it happen.
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We just hosted a Student Conference @mlatgt, bringing together students/fac from across campus to build a stronger community. Grateful to all participants & proud of the incredible work showcased! It was a success cuz we ran out of food :) Hear our Atlanta AI Buzz @GeorgiaTech!🐝
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New technologies allow us to tackle old problems. @GeorgiaTech teams, led by the college, are applying that lesson with large language models (LLMs)—programs that generate text from human prompts (e.g. chatbots)—and other technologies used to study human language. Tech's
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CSE researchers are in Vienna this week presenting at @icmlconf! Check out this story on an #ICML2024 paper that improves brain function understanding while bridging a gap in #MachineLearning methods! @gtcomputing @GTResearchNews @anqiwu_angela @mlatgt
https://t.co/e6f1ivw91J
cc.gatech.edu
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Check out the GT Computing faculty at @icmlconf. Three of our five schools are represented. 🐝🐝🐝 #TogetherWeSwarm
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Meet the @GeorgiaTech experts who are helping unlock the future of #AI. These experts will share their latest research findings in machine learning on the world stage at @icmlconf (July 21-27). Tech experts are part of 40 teams with new research, and the institute is the lead
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LLMs can be used for a lot more than chatbots and image generators. How about discovering new materials? CSE's own Shuyi Jia, Chao Zhang, and Victor Fung show how through LLMatDesign! @gtcomputing @GTResearchNews @vsarkar_gt @chaozhangcs @ForMaterials @mlatgt @GeorgiaTechAI
We recently explored if LLMs can be used to accelerate materials discovery. Instead of using LLMs to predict properties or generating new materials directly, we ask it to iteratively modify a starting material towards a given property target. Details here: https://t.co/kBXYHV2chE
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From climate models to biophysical processes in the brain, preconditioning makes computer simulations faster, more efficient, and more accessible! Check out how in our recent story from Precond 24! https://t.co/52dW2msyze
@gtcomputing @GTResearchNews @vsarkar_gt @mlatgt
cc.gatech.edu
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@judyfhoffman @deviparikh @humphrey_shi @ICatGT An episode of "Friends"—with Chandler in a bunny costume—inspired VCoder, a tool that gives human-like perception to multimodal LLMs. MLLMs can miss obscure objects that blend in with other objects in an image. Go down the rabbit hole for more! #CVPR2024
https://t.co/ITK3yojpWt
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Summer is heating up! Researchers in computer vision at @GeorgiaTech have their latest work included in @CVPR later this month. Explore the work and meet the faculty experts, along with their teams. Go Jackets! 🔗 https://t.co/9sJ9dpRnzD
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Check out this profile on Edmond Chow, professor and associate chair of the School of CSE! Chow is also program director of the SIAM Activity Group on Computational Science and Engineering! Thanks for posting, @TheSIAMNews! 👋 @gtcomputing @GTResearchNews @IDEaSatGT @mlatgt
This week for #AAPI Heritage Month, we are spotlighting Dr. Edmond Chow of @GeorgiaTech! Read more about his research and career: https://t.co/Wm2wkkJF1b
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2/ Our latest research at @MSFTResearch & @gtcomputing, presented at @MLSysConf, shows that suboptimal configurations can more than double your deployment costs! 🤯
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