Roya Kandalan
Research Scientist
Boston, Massachusetts, United States
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Roya is a research scientist who is passionate about advancing artificial intelligence technologies. She is particularly interested in computer vision and pattern recognition and has developed machine learning solutions for various applications, including healthcare, assistive technology, and security.
Roya is also an advocate for women's rights. She is a Google Women's Techmaker Ambassador and a Google Developer Group organizer. She uses these platforms to encourage women to pursue careers in science and technology.
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Will Gen AI terminate us?
In this talk, we explore the potential of Gen AI to reshape our world across various domains, such as healthcare and education. We discuss how Gen AI can complement human capabilities, foster innovation, and promote human-AI collaboration. However, we also address the ethical concerns and risks associated with Gen AI. Our goal is to navigate this uncharted territory responsibly, ensuring a harmonious relationship between humans and AI. Join us on this captivating journey to contemplate the future of Gen AI and its impact on society.
Envisioning Navigation, Harnessing AI for Assistive Solution
Navigating the development of an assistive indoor technology for the visually impaired, my PhD journey intersected with Google's advanced tools. Tasked with optimizing location accuracy on budget smartphones, I integrated methodologies reminiscent of those in autonomous vehicle systems. The application utilized TensorFlow Lite's version of YOLO from GCP for obstacle detection, enhanced with transfer learning to widen object recognition capabilities. Google's text-to-speech and speech recognition APIs became pivotal, filling the gap in my resource constraints. This talk underscores the power of leveraging accessible tools in creating impactful, innovative tech solutions, while offering insights into the practical challenges and successes of my endeavor.
Keras Campaign
TensorFlow is a powerful tool that has revolutionized the world of neural networks. It is a highly efficient and flexible system that has made it easy for developers to create complex models. With TensorFlow, it is possible to build models that can process large amounts of data, identify patterns, and make predictions. TensorFlow has been used in a wide range of applications, from image recognition to natural language processing, and it is constantly being improved and updated to make it even more powerful.
Road to Google Developer Certification: Pro Machine Learning Engineer
Road to Google Developer Certification study groups are a series of 6 sessions designed to help you prepare for the Google Cloud Certification exams. This specific study will help you prepare of the Google Professional Machine Learning Engineer certification exam. Join us to upskill, and prepare for a professional credential to showcase your cloud skills on your resume and LinkedIn profile.
Navigation Support for the Visually Impaired, and How Google Helped Me with My PhD
Explained the design and implementation of an assistive navigation technology to help visually impaired individuals navigate in an indoor scenario independently. The focus of the talk was mainly on how Google technologies, from GCP to TF, were helpful in this process.
Road to Google Developer Certification: Pro Machine Learning Engineer
Women in AI/ML at Google NYC
International Women's Day
International Women's Day is a global holiday to celebrate women's rights. On this day, in addition to learning about new tech and sharpening our skills, we want: To gather together and share our tales and stories of our achievements and failures. To teach each other not only the new technologies but also how to navigate in a male dominant industry. To discuss our experience in having a voice, being assertive and tenacious without being called bossy or too much. To investigate imposter syndrome, and share about all the times we felt short. To hold each other's hand and pave the way for the next generation of women in tech.
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