Machine learning (ML) is transforming the healthcare industry by enhancing the evaluation of treatments through the prediction of treatment impacts on patient outcomes. This methodology, known as causal ML, uses data from various sources including randomized controlled trials, clinical registries, and electronic health records to measure treatment effects. By providing personalized outcome predictions under different…
Language model applications (LLMs) are released frequently, each promising its own specific speed, cost, and quality advantages. But selecting the best model can be challenging due to the constant influx of new options, manual signups and custom benchmarks, and for some, the output quality and speed are less than satisfactory. In response to these constraints,…
Modern software development can be a complex venture, requiring skills in managing large codebases, verifying code accuracy, maintaining vast documentation, and enhancing performance. All of these tasks demand considerable effort and time from developers. While there are traditional code editors and integrated development environments (IDEs) that offer basic features like syntax highlighting, error detection, and…
In 2023, a Colombian court set a precedent by employing an AI 'metaverse judge' to overstep a virtual court case, signaling a radical use of futuristic technology. In this new trend, the tech industry partners with the justice system, giving rise to a blend of optimism and caution worldwide.
"Artificial Justice," a political sci-fi thriller directed…
In June 2024, AI organization Databricks made three major announcements, capturing attention in the data science and engineering sectors. The company introduced advancements set to streamline user experience, improve data management, and facilitate data engineering workflows.
The first significant development is the new generation of Databricks Notebooks. With its focus on data-focused authoring, the Notebook…
Topological Deep Learning (TDL) has advanced beyond traditional Graph Neural Networks (GNNs) by modeling complex multi-way relationships, which is imperative for understanding complex systems like social networks and protein interactions. A key subset of TDL, known as Topological Neural Networks (TNNs), are proficient at handling higher-order relational data and have demonstrated superior performance in various…