PinnedSynthefyDiffusion Models for Synthetic Time Series DataThis post introduces TimeWeaver, Synthefy’s novel diffusion model for conditional time series synthesis, which beats Generative Adversarial…May 28May 28
SynthefyPractical Use Cases of Synthetic Time Series DataSynthetic time series data is becoming an essential tool for businesses that rely on large-scale data analysis and forecasting. It enables…Aug 28Aug 28
SynthefyTime Series Foundation Models are Fundamentally HardOver the past year, we’ve seen several papers from the likes of Salesforce, Google, Meta, and IBM touting a “foundation model” for time…Feb 19Feb 19
SynthefyWhy We Need Multi-Modal Generative AI for Time SeriesImagine synthesizing a realistic electrocardiogram (ECG) signal based on a patient’s medical record, age, gender, weight, and presence of a…Feb 18Feb 18