Lmst

🚨 Excited to lead a hands-on workshop at #CreateHERFest on April 29, 12 PM ET! We’ll explore Google Model Garden, train + deploy AI models, and turn concepts into projects. Join us! 💻✨

🔗 https://lnkd.in/edD6H5iN
#WomenInAI #WTM #AI

When amazing, smart, talented women get together, watch out! You might just turn around and find us running the world!

After an truly inspiring morning at the Capitol for the 2nd Annual Tech Demo Day, I got to spend the evening with these majestic women and some supportive and fantastic gentlemen, including my very own Dustin Carr, at the Google Developer Group: Redefine Possible - AI and Innovation Summit. #ai #artificialintelligence #womeninai

✨ I am beyond grateful to have been an honored guest, accompanied by my amazing husband and partner in innovation, Dustin Carr, at the 2nd Annual Tech Demo Day at the Georgia State Capitol, celebrating Women in Artificial Intelligence. It was truly inspiring to stand alongside so many incredible women who are shaping the future of AI and technology. ✨

#WomenInAI #TechDemoDay #EducationInnovation #AIForGood #LearnWithLumi #AI #ArtificialIntelligence

C'est parti pour un petit éditathon Wikipédia avec les bibliothèques municipales de Lyon, que je fais... bien au chaud chez moi, dans les Vosges 😁

https://fr.wikipedia.org/wiki/Projet:Biblioth%C3%A8ques_municipales_de_Lyon/Scientifiquement_elles

Je vais travailler sur Moojan Asghari, qui me semble admissible au premier abord. Ça permettra aussi de parler de #WomenInAI. Merci @dmontagne pour la recommandation

#WikifierLaScience

👩‍💻Dr. Anastasiia Safonova - AI Scientist on a mission! 🚀 She's advancing self-learning models, leveraging Deep Learning & Remote Sensing with small time series data to improve land displacement detection. 🛰️

📖 Ten deep learning techniques to address small data problems with remote sensing.
https://www.sciencedirect.com/science/article/pii/S156984322300393X
📖 Deep Learning Improves Point Density in PS-InSAR Data Toward Finer-Scale Land Surface Displacement Detection. https://ieeexplore.ieee.org/abstract/document/10679143

#WomenInAI #WomeninScience #February11

"Data from local observations like monitoring of climate events is often insufficient for training Deep Learning models for Remote Sensing. I am working on solutions for the so-called small data problem with help of Deep Learning."

Dr. Anastasiia Safonova, AI Scientist
Working group: Artificial Intelligence for Smart Agriculture

Dr. Gohar Ghazaryan leads the #EOAgriTwin project, where 🛰️🗺️ multiscale Earth Observation data, AI, and process-based modelling come together to develop a #DigitalTwin of agricultural systems, enhancing agricultural monitoring and supporting decision-making on drought, heat, pests, and pathogens. 🌱

https://www.eoagritwin.eu/

#WomeninScience #WomeninAI #February11

"By combining Earth Observation data with AI and advanced modelling techniques, we move beyond monitoring to prediction and ‘what-if’ scenarios and therefore strengthen resilience under the changing conditions and stressors."

Dr. Gohar Ghazaryan, Postdoctoral researcher
Working Group: Remote Sensing for Agriculture

Most of current cropping system models 🌱💻 partition soil carbon and nitrogen into conceptual pools that cannot be quantified, making calibration of pool sizes impossible.

Inès Tougma works on developing a measurable-pool-based model that solves this problems and applying it to optimize nitrogen management in agricultural landscapes. 🚜🌾

📖 https://doi.org/10.1016/j.envsoft.2024.106291

#WomenInAI #WomenInScience #February11

"Computer models can simulate how soils change with plant growth. I am working on improving a state of the art soil carbon model by including nitrogen processes and linking it with a crop model."

Inès Tougma, PhD Student
Working group: Integrated Crop System Analysis and Modelling

Nishita Thakur is a computer scientist with focus on digital agriculture. 🚜💻 At ZALF, she is working on automating different modules that go into a digital decision support system for farmers in the project DAKIS & coordinates between the computer science team and agricultural scientist team.

#WomeninAI #WomeninScience #February11

"Digitalization in agriculture must be implemented in cooperation with farmers and scientists. It is not an individual effort, but a carefully thought out process that needs the input of both the users and developers."

Nishita Thakur, PhD Student
Working group: Provisioning of Ecosystem Services in Agricultural Systems

Crop rotational diversity and diverse landscapes are important for resilient agriculture & biodiversity. 🌼🐛
Josepha Schiller used machine learning to analyze their relationship & identify the factors driving the observed pattern.
https://link.springer.com/article/10.1007/s10980-024-01889-x#Ack1

#WomeninAI #WomeninScience #February11

"Agricultural landscapes are influenced by many concurrent factors, and machine learning can serve us as a guiding tool in identifying complex relationships."

Josepha Schiller, PhD Student
Working group: Artificial Intelligence for Smart Agriculture

Models are useful for agricultural science, but they remain underutilized because of a lack of available standardized experimental data. 🚜
👩‍💻 Postdoctoral researcher Xinxin Chen develops a novel automated workflow that extracts and harmonizes data from published literature for simulation models.
#WomenInAI #WomenInScience #February11

"I work on bridging literature and models: I use AI tools for developing a workflow that extracts structured data from unstructured scientific literature so that these datasets can be used for simulation models."

Dr. Xinxin Chen, Postdoctoral Researcher at ZALF
Working Group: Integrated Crop System Analysis and Modelling

11 Feb is UN #InternationalDayofWomenandGirlsinScience

Women working in STEM are underrepresented. For example: Only around 22% of AI researchers are women (source: #worldeconomicforum).
👩‍💻👩‍🔬 But they are out there! In the following days we'll introduce you to a few of them working at ZALF.

#WomenInAI #WomeninScience #AgricultureAI #February11

Source: https://www.weforum.org/stories/2022/08/why-we-must-act-now-to-close-the-gender-gap-in-ai/

Yutong Liu & Kingston School of Art / Better Images of AI / Talking to AI / CC-BY 4.0

This image shows an individual with orange hair interacting with a large, abstract digital mirrored structure. The structure is composed of squares in varying shades of green, orange, white, and black which are pieced together to reflect the individual’s figure. The figure's hand is extended as if pointing to or interacting with the mirrored structure. Behind the structure are streams of binary code (0s and 1s) in orange, flowing towards the digital grid.

✨ I am honored to announce that I'll be among 10 women founders showcasing AI innovation at the Georgia State Capitol on March 13th! I'm thrilled to be there representing DarkViolet.ai's Learn with Lumi, our revolutionary AI-powered education platform that's set to transform how our children learn.

#WomenInAI #GATech #EdTech

📢 Ready to dive into 2025 with Atlanta Women in AI?

I'm thrilled to be speaking at our first event of 2025 as the Co-founder of DarkViolet.ai! Join me on Wednesday, January 15th, for a conversation that’s close to my heart: "Why AI Needs Women." Together, we’ll explore the essential role of diverse perspectives in bridging the divide between humans and technology—and why your voice is key in shaping the future of AI.

#WomenInAI #TechDiversity #AtlantaTech #ArtificialIntelligence

Hi all, I'm looking for women and nonbinary folks who write on Substack about #AI. My initial list has 34 people (not counting myself) - link below. Hoping some #WomenInSTEM here will know of others I can add? Happy to add mastodon handles for anyone who belongs on the list. Thanks in advance!

https://karensmiley.substack.com/p/where-are-the-women-in-ai-on-substack-look-here?r=3ht54r #WomenInAI

(credit to "WOC In Tech Chat" for the photo, https://www.wocintechchat.com/blog/wocintechphotos)

Partial grayscale photo of a woman wearing a suit jacket, seated in front of a laptop with her hands poised over the keyboard

The Sustainable AI Lab at the University of Bonn is starting a new series of events, titled ‘The AI Queens* of Bonn’.
Click here to find more information: https://www.iwe.uni-bonn.de/ai-queens

#AIqueens #AIethics #WomeninAI #Inclusivity #GenderEquality #Queer #QueerAI #AI