August 2025

Brain Latent Progression Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion

Brain Latent Progression Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion

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This article aims at reviewing a Alzheimer’s spatiotemporal disease progression predictive model called Brain Latent Progression (BrLP). All in all, this is a diffusion model that takes a T1w image and some particular covariates from some timepoint and predict/generates another T1w image for a future timepoint. Now, the methodology of this article is almost completely based on two other important methodologies which are Latent diffusion models and the ControlNet model which are both somewhat intertwined. The two following […]

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Revolutionizing warehouse automation with scientific simulation

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Revolutionizing warehouse automation with scientific simulation With a novel parallel-computing architecture, a CAD-to-USD pipeline, and the use of OpenUSD as ground truth, a new simulator can explore hundreds of sensor configurations in the time it takes to test just a few physical setups. Robotics Deniz Akyildiz Hunter Liu August 26, 03:50 PM September 09, 10:51 AM Modern warehouses rely on complex networks of sensors to enable safe and efficient operations. These sensors must detect everything from packages and […]

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Versioning Data Like Code: Getting Started with DVC

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Introduction If you are reading this blog, you might have been familiar with what Git is and how it has been an integral part of software development. Similarly, Data Version Control (DVC) is an open-source, Git-based version management for Machine Learning development that instills best practices across the teams. A system called data version control manages and tracks changes to data and machine learning models in a collaborative and reproducible manner. It draws inspiration from version control systems […]

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A decade of database innovation: The Amazon Aurora story

A decade of database innovation: The Amazon Aurora story

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A decade of database innovation: The Amazon Aurora story From reimagining storage to serverless computing, Aurora continues to push the boundaries of what’s possible in database technology. Cloud and systems Staff writer August 21, 01:00 PM August 21, 12:59 PM When Andy Jassy, then head of Amazon Web Services, announced Amazon Aurora in 2014, the pitch was bold but metered: Aurora would be a relational database built for the cloud. As such, it would provide access to cost-effective, […]

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A Survey of popular LLM Evaluation Metrics

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Large Language Models (LLMs) are increasingly applied to critical domains such as medical report generation, where accuracy and trust are essential. Evaluating the quality of generated text is non-trivial: surface word matches may miss key semantic errors, while semantic metrics may overlook domain-specific mistakes. This review goes through five categories of evaluation metrics, using a consistent medical example to illustrate their differences: Reference report: “The chest X-ray shows evidence of pneumonia. No pleural effusion is present.” Generated report: […]

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The Illustrated GPT-OSS

The Illustrated GPT-OSS

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OpenAI’s release of GPT-OSS is their main open source LLM release since GPT-2 six years ago. LLM capabilities have seen dramatic improvements in this time. And while the model itself is not necessarily a jump in capabilities compared to existing open models like DeepSeek, Qwen, Kimi, and others, it provides a good opportunity to revisit how LLMs have changed in this time. Difference From Previous Open Source GPT Models GPT-OSS is similar to previous models in that it’s […]

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Amazon builds first foundation model for multirobot coordination

Amazon builds first foundation model for multirobot coordination

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Amazon builds first foundation model for multirobot coordination Trained on millions of hours of data from Amazon fulfillment centers and sortation centers, Amazons new DeepFleet models predict future traffic patterns for fleets of mobile robots. Robotics Joey Durham August 11, 11:00 AM August 13, 11:05 AM Large language models and other foundation models have introduced a new paradigm in AI: large models trained in a self-supervised fashion no data annotation required on huge volumes of data can learn […]

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Bayesian Optimization: bayes_opt or hyperopt

Bayesian Optimization: bayes_opt or hyperopt

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If you have experience in Machine Learning, specifically supervised learning, you should have known that hyper parameter-tuning is an important process to improve model accuracy. This process tunes hyperparameters in a Machine Learning algorithm. As we have known, every algorithm requires input parameters from observed data and hyperparameters are not from the observed data. Hyperparameters are different for each algorithm. If we do not tune the hyperparameters, the default hyperparameters are used. There are many ways to do hyper […]

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Open-Source Large Language Models in Radiology: A Review and Tutorial for Practical Research and Clinical Deployment

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Open-Source Large Language Models in Radiology As interest in large language models (LLMs) for medical imaging continues to grow, I took a closer look at the practical aspects of using open-source LLMs in radiology. The review by Savage et al. (2025) in Radiology encourages the exploration of open-source large language models over proprietary ones in both research and potential clinical applications. Open-source LLMs can offer advantages such as flexibility, lower costs, and opportunities for innovation, while proprietary LLMs […]

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