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,…
Researchers from MIT and Meta have developed a computational vision technique, named PlatoNeRF, that allows for creating vivid, accurate 3D models of a scene from a single camera view. The innovative technology uses the shadowing in a scene to determine what could lie within obstructed areas. By combining machine learning with LIDAR (Light Detection and…
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…
