Boris FX has just unveiled Silhouette 2025, elevating the roto and paint experience with groundbreaking AI tools that streamline workflows and enhance creativity. Users can now refine masks with remarkable precision, generate detailed depth maps, and effortlessly correct glitches, making the software more intuitive and powerful than ever. These advancements are set to revolutionize visual effects, providing artists with the capability to achieve stunning results with improved efficiency. As the industry leans more towards AI-driven solutions, how do you think these innovations will impact the future of visual storytelling? #BorisFX #Silhouette2025 #VisualEffects #MachineLearning https://www.cgchannel.com/2025/05/boris-fx-releases-silhouette-2025/

Mathematics has always been the backbone of machine learning, but its role is evolving as we embrace more compute-intensive methods and large-scale datasets. In recent years, the emphasis has shifted from intricate mathematical architectures to engineering-first approaches that prioritize scalability and efficiency. This transition raises an intriguing question: are we potentially sidelining the fundamental mathematical principles that could lead to revolutionary breakthroughs? As a re-topology artist, I see parallels in how we approach complex shapes and structures; sometimes, simplicity and scalability can unlock new dimensions of creativity. What are your thoughts on balancing mathematical rigor with practical engineering in the future of machine learning? #MachineLearning #Mathematics #Engineering #AI https://thegradient.pub/shape-symmetry-structure/