Priyanka Gada’s Post

We hosted Cecil County School of Technology this week in Learning Lab! Students had the chance to perform the CRISPR in a Box experiment, talk to an expert in the field from our lab, and practice their laboratory skills with dedicated teachers. These students are about to start the lab component of their capstone project and asked London McGill for some tips. "If you get a result you weren't expecting, and then you repeat the experiment and get the same result, that's not a failure," she said. "It's a door to re-thinking your question and finding out something different. Science isn't always about getting the 'right' answer. There's no right answer in science. What science is about is discovery and continuing to seek results, no matter what comes your way." There's still Learning Labs available in December and the upcoming spring! If you want to lead your students on their own journey of discovery, visit our website and book today.

"Science is about standing on the shoulders of giants – making new discoveries and building new applications by reusing foundations laid by others. But however collaborative a process science is, we don’t always make it easy. Have you ever tried but failed to reproduce someone else's reported research results? How about your own results? According to scientific research, this is not uncommon in academia, which has led to the phenomenon being dubbed as "the reproducibility crisis". And reproducibility is just the first step of reusability. In this webinar, we will discuss the challenges in reproducibility and reusability of scientific data, methods, and computer code. What do the terms really mean and how can we take steps to improve our work to take them into account"

Predict, Explore, Learn! Dive into the world of science experiments with Feedback Frames! Make predictions, explore results, and have a blast learning together! #FeedbackFrames #TeacherTipsTuesday #Teachers #Science #Innovative #EducationInnovation #StudentEngagement #TeachingTools #ClassroomActivities #HandsOnLearning

#CISCT 2024 Join us at the 4th International Conference on Innovative Sustainable Computational Technologies, sponsored by IEEE UP section. Conference # 62494 Organized By : Department of Computer Science and Engineering, Graphic Era University, Dehradun Conference Date : 27-28 December 2024 ** Paper Submission Open ** Paper Submission Link: https://lnkd.in/gKSmKmC3 Conference webpage: https://lnkd.in/gJwSYenr   Conference Theme The goal of the interdisciplinary field of innovative sustainable computational technology is to strike a balance between environmental, economic, and societal needs for sustainable development using cutting-edge methods from Engineering, Computer Science, Information Science, Operations Research, Applied Mathematics, Software Reliability, Reliability Modelling, and Statistics. To address some of the most intractable issues in sustainable development, researchers are putting their efforts into creating new computational and mathematical models and methodologies for decision making about resource management and allocation. At CISCT-2024, researchers from many disciplines, including computer science, applied mathematics, statistics, biology, environmental science, environmental engineering, and economics, will gather to share their findings, and explore future applications of their work.   Relevant Research Area The conference CISCT-2024 is proposed with the expectation that it would attract a large number of high-quality submissions dealing with any aspect of innovative sustainable computational technologies. CISCT-2024 is also intended to feature scientific and professional symposium along with products exhibition & industry/entrepreneur forum that discusses topics related to (but not limited to):                 Track 1: Data Analytics and Visualization               Track 2: Robotics and Automation               Track 3: IoT solutions for Sustainable Development               Track 4: AI and Machine Learning               Track 5: Cybersecurity  

I'm excited to share that my recent research paper, "Advancements in Machine Learning Algorithms for Enhanced Fault Analysis and Categorization in Power Systems," has been published! 🎉📄 This work delve into the machine learning techniques to improve fault detection and classification within power systems, aiming to enhance reliability and efficiency. This research highlights the potential of advanced algorithms to revolutionize fault analysis, leading to more robust and resilient power infrastructures. I am grateful for the support and collaboration from my mentor (Shoyab Ali) throughout this journey. Looking forward to exploring further innovations in this field! #Research #MachineLearning #PowerSystems #FaultAnalysis #Innovation #Technology #Engineering

Computational chemistry just snagged a Nobel Prize! 🎉 Imagine designing proteins with the precision of a master chef crafting a gourmet dish, but with AI doing the heavy lifting. This isn't just science fiction—it's what’s cooking in the lab! Explore how machines are unraveling the mysteries of life itself. Ready to dive into the future of biology? Check it out: https://lnkd.in/eknNuN4C

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That’s the message behind a recent perspective article published in the Journal of Chemical Theory and Computation. The authors discuss possible scenarios of how to develop software in the face of a changing computational landscape. The post Computational Chemistry Needs To […] #Engineering #Robotics #Recruiters

Non-scientific communities have a lot to benefit from science and scientific thinking including mathematical thinking and approaches to solve problems and achieve goals. So in science, engineering and technology we use scientific thinking which is a structured way of thinking and doing mental work. We use solutions and metasolutions to solve problems. There are many different types of problems. #metasolutions #solutions

[The vast behavioral data generated by #online_learning platforms would fuel new research into the fundamentals of #human_learning. The resulting insights would then be applied to further improve #instructional_design. Koller imagined that #MOOCs would “turn the study of human learning from the hypothesis-driven mode to the data-driven mode, a transformation that, for example, has revolutionized biology.”] - Justin Reich I would argue that any #learning_experience, not only MOOCs, that is not also a LEARNING EXPERIENCE, that is to say a source of insights into learning, is doomed and contributes to the glacial movement of #educational_change. ⏳

My research focused on benchmarking the pretraining on LLMs using memory-efficient Flash Attention 3 against pretraining on hardware accelerators such as Cerebras CS 2. Feel free to DM if you would like to know more! PS: That's me standing in the front :) #llms #generativeAI #hpc #largelanguagemodels