Join us next Tuesday, 2/20, at 2pm PST for the continuation of the 2024 California Fire Science Seminar Series! @A_Moghimi will be giving a presentation titled "AI-Enabled Wildfire Detection Using Satellite Imagery". Register here: https://t.co/FuIbrD8HeL
Here at @ucdavis & @UCDavisHealth, we prioritize #diversity, #equity, #inclusion and belonging - and that hasn’t gone unnoticed.
Learn more about the Top 10 Reasons why UC Davis is recognized as among the best for diversity here: https://t.co/0zK0gM6A4d
I’m delighted to announce that I’ll serve as a Guest Editor for Elsevier's Journal of Computers and Electronics in Agriculture. The special issue focuses on "Advanced Technologies for Precision Nutrient Management." More information: https://t.co/GWlsrtnIcb
Great start for our AI in Agriculture Conference. We are honored to have Mr. Chris Malachowsky @nvidia as a keynote speaker to introduce the potential of #AI in Agriculture @SWFREC@UF_ABE@AgRoboticsTC
Thank you, @ucdavis and @Chancellor_May, for showing support for the brave people of Iran who are fighting right now in the streets for their basic human rights
We cannot remain silent! #MahsaAmini@ucanr@UofCalifornia
https://t.co/TaxNHrR54S
Did you hear? @UCDavis stands among the nation’s top 10 public universities and now claims the No. 1 spot in #biological and #agricultural engineering in rankings by @usnews & World Report. Way to #GoAgs!
More info: https://t.co/yocxF9Av7Z
Fine-tuning pre-trained models is common in NLP, but forking the model for each task can be a burden. Prompt tuning adds a small set of learnable vectors to the input and can match fine-tuning quality while sharing the same frozen model across all tasks. https://t.co/NKHhMzk056
How to tell which part of a tree canopy is infected by a pathogen? Read our new pre-print in CompAg: A Semi-supervised approach to cluster symptomatic and asymptomatic leaves in root-lesion nematode infected walnut trees https://t.co/zEwKeLr0hL
@ucanr@ucdavisCAES@UCDavisCOE
Introducing TensorSensor: a lib that clarifies exceptions by augmenting messages + visualizing Python code to indicate shape of tensor variables; works with Tensorflow, PyTorch, Numpy, and higher-level libraries like Keras and fastai. Article: https://t.co/lqZgWOu4FC
Our outstanding lab members are working hard to keep the research moving forward while staying at home
This is our group photo from Monthly Lab meeting yesterday
Nitrogen status of grapevine can be estimated from aerial multispectral imagery. Supervised learning algorithms provide more reliable prediction models compared to vegetation indices.
Check out full update:
https://t.co/98bIIQyHmH
@A_Moghimi@grapetweets@ucdavisCAES@ucanr