Top Tweets for #cameraberkeley
More explainable AI using VR tomorrow - see you again for the ASCRIBE-XR demo this Tuesday. @Supercomputing @LBNLcs #SC25 #cameraberkeley

🔊 News! Our paper is the COVER story for the August 2025 issue of Journal of Imaging. It explores how generative AI is transforming scientific imaging, from decoding plant root networks to simulating the inner structure of rocks https://t.co/zUcvOM6cJh #cameraberkeley @LBNLcs

Honored to speak at the National Academy of Engineering Meeting @UCBerkeley on AI for computer vision, and scientific discovery. Thanks to Alexis Bell & Jonathan Carter for the invite! Honored to represent @BerkeleyLab #CAMERABerkeley #AIforScience #NAE #HPC #LBNL @theNAEng

CAMERA leads research in domain-informed ML to estimate failure distributions of emerging energy storage #cameraberkeley @LBNLcs https://t.co/ddecddScti
What if you could step inside your data? Our team at LBNL built ASCRIBE-VR to explore scientific images in VR! PhD student Guilherme dos Santos presented this work at CCSC @UCBerkeley. Congrats, Guilherme, excited for what’s next! #VR #AI #LBNL #cameraberkeley @BerkeleyLab

Proud to have chaired the DOE BER/ASCR wrkshp last week. An honor to lead such a great event alongside an incredible co-chair and committee members @Berkeleylab #cameraberkeley

🔬Excited to present at the Molecular Foundry User Meeting! Hari and I discussed "Experimental Data Analysis and Visualization Through Interactive Tools for Advanced Imaging Techniques" in wrkshp Making Nanostructures Visible ...
@LBNLcs
#cameraberkeley 📷 https://t.co/sv6mRf6MVS

🔬 Great time speaking at the ALS User Meeting - Tomography Workshop! Solutions for microCT Stacks: Memory-Efficient Inspection, Segmentation, & AI-Driven Image Retrieval.
@LBNLcs
#cameraberkeley 📷 https://t.co/rDczuQVhig
Congratulations to Marcus Noack, Ron Pandolfi and Jamie Sethian for the research work on Gaussian Processes deployed in gpCAM https://t.co/Zh6SVOXiKL #cameraberkeley @LBNLcs

🌟 Excited for the International Conf. on AI & ML this Monday 06/10 in San Francisco! Join us on opening day with virtual speaker Mike Mahoney in the AM and Dani Ushizima in person kicking off the afternoon session
https://t.co/m7lLb3Y7BN @LBNLcs
#cameraberkeley #AI #ML

🔬 Great time speaking at the Joint APS/CNM Workshop #1: Advancing Data Analysis for XRD/XCT in Post-APS-U! Dive into FAIR principles, automated analysis pipelines, & graph deep learning. @LBNLcs #cameraberkeley ☢️ More: https://t.co/LsplORnsrU

🔬Thrilled to spotlight incredible women scientists from the @BerkeleyLab, currently participating in the U.S. DOE BER program. Big shout-out to the Biological Systems Science Division for welcoming us to the PI meeting 🧬 #WomenInSTEM #DOE #cameraberkeley @LBNLcs

Exciting times at #AABC23 with the Berkeley Lab team! 🚗🔋 Big thanks to Iryna Zenyuk and all our collaborators at the National Fuel Cell Research Center. Together, we're forging new paths in battery tech and fuel cell research! #Teamwork @BerkeleyLab @LBNLcs #cameraberkeley

Congrats Berkeley Lab & collaborators for award: leading centers to accelerate science for clean energy and solutions to the climate crisis. https://t.co/ExMl4Ypyy0
@BerkeleyLab @LBNLcs #cameraberkeley
Thrilled to join an inspiring panel of women inventors, organized by WSEC & Intellectual Property Office! 💡 Sharing our journeys and innovations and paving the way for more inclusive innovation. Let's shape the future together! 🚀👩🔬 @LBNLcs @BerkeleyLab #cameraberkeley

Day2: recruiting the talents who will bring more science solutions to the world
@LBNLcs
@BerkeleyLab
#cameraberkeley #tapiaconference

Day1: Inspiring talks at the Doctoral Consortium: honored to be one of the judges @LBNLcs @BerkeleyLab #cameraberkeley #tapiaconference

Join us on Friday, June 16, from 10:30 am to 11:30 am, UCSF’s Center for Intelligent Imaging (ci2) for this talk as part of ci2’s Third Anniversary Celebration, marked by events throughout 2023. @UCSF_BCHSI @UCBIDS @LBNLcs #cameraberkeley

Need to charge your batteries? Here are new AI technologies to analyze lithium metal batteries during charge and discharge cycles: https://t.co/JRbhhwVS9I #cameraberkeley @LBNLcs @UCBIDS @UCSF_BCHSI

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