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The article was written by Guanao Yan, Ph.D. student of Statistics and Data Science at UCLA. Guanao is the first author of the Nature Communications review article [1]. Spatially resolved transcriptomics (SRT) is revolutionizing Genomics by enabling the high-throughput measurement of gene expression while preserving spatial context. Unlike single-cell RNA sequencing (scRNA-seq), which captures transcriptomes …

Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics Read More »

It’s all about using our technology and research to help enrich people’s lives. Like YouTube — and its mission to give everyone a voice and show them the world. Our work with YouTube’s product and engineering teams has helped optimize decision-making processes, increase safety and engagement, and enhance the experience for all kinds of users. …

YouTube: Enhancing the user experience Read More »

The customer support teams were drowning with the overwhelming volume of customer inquiries at every company I’ve worked at. Have you had similar experiences? What if I told you that you could use AI to automatically identify, categorize, and even resolve the most common issues? By fine-tuning a transformer model like BERT, you can build …

How to Fine-Tune DistilBERT for Emotion Classification Read More »

Research Published 20 June 2023 Authors The RoboCat team New foundation agent learns to operate different robotic arms, solves tasks from as few as 100 demonstrations, and improves from self-generated data. Robots are quickly becoming part of our everyday lives, but they’re often only programmed to perform specific tasks well. While harnessing recent advances in …

RoboCat: A self-improving robotic agent Read More »

Introduction Data science is undoubtedly one of the most fascinating fields today. Following significant breakthroughs in machine learning about a decade ago, data science has surged in popularity within the tech community. Each year, we witness increasingly powerful tools that once seemed unimaginable. Innovations such as the Transformer architecture, ChatGPT, the Retrieval-Augmented Generation (RAG) framework, and state-of-the-art Computer Vision models — including GANs — have …

Roadmap to Becoming a Data Scientist, Part 4: Advanced Machine Learning Read More »

New white paper investigates models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI Growing awareness of the global impact of advanced artificial intelligence (AI) has inspired public discussions about the need for international governance structures to help manage opportunities and mitigate risks involved. Many discussions have drawn …

Exploring institutions for global AI governance Read More »

Machine learning and AI are among the most popular topics nowadays, especially within the tech space. I am fortunate enough to work and develop with these technologies every day as a machine learning engineer! In this article, I will walk you through my journey to becoming a machine learning engineer, shedding some light and advice …

How I Became A Machine Learning Engineer (No CS Degree, No Bootcamp) Read More »

New research proposes a system to determine the relative accuracy of predictive AI in a hypothetical medical setting, and when the system should defer to a human clinician Artificial intelligence (AI) has great potential to enhance how people work across a range of industries. But to integrate AI tools into the workplace in a safe …

Developing reliable AI tools for healthcare Read More »