Labs & Research4 min read
AI Research
The gradient wall that blocked neural networks from reasoning just got a soft demolition
SoftReason is a fully differentiable neuro-soft-symbolic architecture for deductive reasoning. It removes the gradient barrier between perception and deduction, enabling end-to-end training over high-dimensional perceptual data and knowledge graph triples. On KVQA, it shows how soft reasoning can unify grounding, evidence injection, and closure.
2026-07-26