Hanspeter Pfister (@hpfister) profile picture

Harvard Professor in Computer Science focusing on research in visualization, computer graphics, and computer vision.

Cambridge, MA, USA
Joined October 2008
Photo by Hanspeter Pfister (@hpfister)Photo by Hanspeter Pfister (@hpfister)Photo by Hanspeter Pfister (@hpfister)Photo by Hanspeter Pfister (@hpfister)Photo by Hanspeter Pfister (@hpfister)Photo by Hanspeter Pfister (@hpfister)Photo by Hanspeter Pfister (@hpfister)Photo by Hanspeter Pfister (@hpfister)
Glad to be part of this great paper with @gkreiman and team!
Think you have a foolproof sixth sense for spotting AI? Think again! In a massive study spanning over 72,000 Turing-style tests across vision and language, modern AI models have become shockingly good at playing human—often fooling human judges with ease. To make matters slightly more humbling, basic AI evaluators actually beat us at detecting our own kind. Check out the full paper in Nature Human Behaviour to see just how blurred the digital finish line has become! Congrats to: @MengmiZhang @ElisaPavarino @theliuxiao @sikarwar_ank @MarceloArmenz @Prachi_Agr21 @mranmay @amannhasnoname @GioDellaferrera @MudrikNoga @tanishqkumar07 @hpfister Read the full paper and download code and data here: kreimanlab.com/code/testing-…
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Hanspeter Pfister retweeted
Think you have a foolproof sixth sense for spotting AI? Think again! In a massive study spanning over 72,000 Turing-style tests across vision and language, modern AI models have become shockingly good at playing human—often fooling human judges with ease. To make matters slightly more humbling, basic AI evaluators actually beat us at detecting our own kind. Check out the full paper in Nature Human Behaviour to see just how blurred the digital finish line has become! Congrats to: @MengmiZhang @ElisaPavarino @theliuxiao @sikarwar_ank @MarceloArmenz @Prachi_Agr21 @mranmay @amannhasnoname @GioDellaferrera @MudrikNoga @tanishqkumar07 @hpfister Read the full paper and download code and data here: kreimanlab.com/code/testing-…
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Hanspeter Pfister retweeted
The math on this project should mass-humble every AI lab on the planet. 1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output. The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice. Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet. And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.” This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one. We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that. The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.
🚨: Scientists mapped 1 mm³ of a human brain ─ less than a grain of rice ─ and a microscopic cosmos appeared.
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Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Survey Jiahui Zhang, Yuelei Li, @AnpeiC, Muyu Xu, Kunhao Liu, @jianyuan_wang, @xxlong0, @hx_liang95, @zexiangxu, @haosu_twitr, Christian Theobalt, Christian Rupprecht, Andrea Vedaldi, @hpfister, Shijian Lu, @fnzhan0507 tl;dr: in title arxiv.org/abs/2507.14501
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MIT Professional Education offers a three-day in-person or live online course on June 2-4, 2025, on AI for Scientific Discovery professional.mit.edu/course-…
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- Master key AI techniques and understand their applications in scientific research. - Gain hands-on experience with LLMs, predictive modeling, and AI-driven experiment planning. - Apply generative AI tools for hypothesis generation and data-driven decision-making.
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Don’t miss this exciting opportunity to participate in hands-on labs, network with accomplished peers, and tackle real-world research challenges. Registration is open until May 26, 2025. professional.mit.edu/course-…
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Hanspeter Pfister retweeted
Two papers in the same session @ieeevis. Great collaborations with Xiaojuan Ma's lab @hkust, particularly @qian_hci, who is leading the composite vis. @luttul0110 presenting. +Sungwon, Chris North @VT_CS, @ticahere @hpfister @HarvardVCG and DoD for embodied data transformation!
Hello, #ieeevis! We're excited to share our work from @GeorgiaTech at this year's @ieeevis conference. Check out our papers, posters, and more at #VIS2024
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🚀 Calling all coaches, athletes, and sports fans! We’ve made it easier to dive into SportsBuddy.ai! Our new ‘Start Tour’ guides you through creating highlights and analyzing games in no time! 🏀⚽ Don’t wait—check it out & sign up for free now! #SportsTech #AIforAll
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Replying to @ieeevis
@ieeevis: Excited to present my first PhD work: Sportify! Ask to anything about basketball and chat with Stephen Curry! Collaboration with @ticahere, @ZhutianChen, and @hpfister. Thur, Oct 17th @ 10:27 – 10:39AM EDT! Website: chungyi347.github.io/Sportif… Talk:
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🚀Call for Participation: Two more weeks to submit your case studies, design ideas or position papers to the first IEEE VIS workshop on First-Person Visualizations for Outdoor Physical Activities at #IEEEVIS 2024! 🌟 📅Deadline: July 31, 2024 👉firstpersonvis.github.io/
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Hanspeter Pfister retweeted
The printed edition of Elements of Data Science -- with full color interior -- is available now at 20% off. allendowney.com/blog/2024/07… It includes the updated content from my popular DataCamp course, "Exploratory Data Analysis in Python".
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Hanspeter Pfister retweeted
Welcome to our new postdoc @graceguo43. Grace got her PhD from @GeorgiaTech, where she developed visual analytics tools for human-centered explainable AI applications. She is now looking forward to extending that work to biomedical & imaging datasets. We are excited to have you!
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Hanspeter Pfister retweeted
Thanks @scicoalition for hosting Harvard at “The Science of Sports” event, with support from our very own Congresswoman @RepLoriTrahan ! Had a blast sharing our data vis research @sportsbuddyai for sports storytelling on behalf of @HarvardVCG to a diverse group of sports lovers🎉
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From studying electrical engineering in Taiwan to becoming the first UX designer for the 76ers, @ticahere has a robust portfolio in the sciences―and in sports! She told us about how her research interests evolved and brought her to @HarvardVCG. Read here: buff.ly/3KnhmDs
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Hanspeter Pfister retweeted
I’m so glad people found my doodle and PhD survival kit helpful to navigate the hardship during #phdlife !💪🎓🙌
No PhD journey is easy―especially during COVID. @ticahere found doodling helped her and the people around her regain a sense of humor and comfort in life. With her PhD Doodles, Dr. Lin shared the visual story of daily ups and downs in her PhD survival kit: buff.ly/4aOFMk1
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Previously unseen details of human brain structure revealed. Featured image: a single neuron with ~5,600 of the nerve fibers that connect to it. I feel overwhelming awe at nature's complexity and order. nih.gov/news-events/nih-rese…
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Congratulations Dr. Tica Lin! You did absolutely outstanding research for your Ph.D. under tough (COVID) circumstances. I am very proud of you.
Phinally Done!✅ A picture is worth a thousand words, and a PhD journey is worth countless thank-yous. I’m deeply grateful to my advisor @hpfister, mentors, family and friends for their love & support, leading me to go this far and be ready for next chapter!💪#harvardclassof2024
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