Machine learning as a service (MLaaS)
Machine learning as a service (MLaaS) is reshaping the landscape of artificial intelligence by providing organizations with the ability to implement machine learning capabilities seamlessly. This serv...
Model-based machine learning (MBML)
Model-based machine learning (MBML) is rapidly transforming how we approach complex data challenges. By focusing on a structured framework, MBML empowers practitioners to create personalized models ta...
The Metalayer: Caldera’s Solution to Blockchain Silos
Key InsightsCaldera’s Rollup Engine powers over 100 customizable L2s and L3s, representing nearly 25% of all Ethereum rollups. It supports a range of application-specific blockchains, including Mant...
State of Sei Q1 2025
Key InsightsSei Labs achieved 5.4 gigagas per second, approximately 115,000 TPS, and 700 milliseconds time-to-finality. Meanwhile, Sei Foundation established Sapien Capital, a $65 million venture fund...
Regularization in machine learning
Regularization in machine learning plays a crucial role in ensuring that models generalize well to new, unseen data. Without regularization, models tend to become overly complex, capturing noise rathe...
Mean squared error (MSE)
Mean squared error (MSE) is a critical concept in the field of predictive modeling, particularly in regression analysis. It provides value by quantifying the difference between observed and predicted ...