May 23, 2026 · Artificial Intelligence

Bengio’s New Paper Pushes Recursive Reasoning Limits with Parallel Trajectories

The paper introduces GRAM (Generative Recursive Reasoning Models), a probabilistic multi‑trajectory recursive reasoning framework that injects learnable randomness into each recursion step, enabling parallel sampling and achieving higher accuracy than deterministic baselines across tasks such as Sudoku‑Extreme, N‑Queens, ARC‑AGI and unconditional generation.

AI modelsGRAMparallel sampling

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Bengio’s New Paper Pushes Recursive Reasoning Limits with Parallel Trajectories

HyperAI Super Neural

Apr 7, 2026 · Artificial Intelligence

MIT’s DRiffusion Achieves 1.4–3.7× Faster Diffusion Sampling via Draft‑and‑Refine Parallelism

MIT researchers introduce DRiffusion, a draft‑and‑refine parallel framework that uncovers intrinsic parallelism in diffusion models, delivering 1.4–3.7× speedup on three GPUs while preserving near‑lossless image quality across Stable Diffusion 2.1, SDXL and SD3 evaluated on MS‑COCO.

AI accelerationDRiffusionMS-COCO

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MIT’s DRiffusion Achieves 1.4–3.7× Faster Diffusion Sampling via Draft‑and‑Refine Parallelism