Tagged articles

brain-inspired AI

4 articles · Page 1 of 1

Sep 26, 2026 · Artificial Intelligence

Brain Signals Guide Language Models for Robust Reasoning, Nature Study Shows

Researchers from Peking University, Tsinghua University, and Microsoft Research Asia show that language model representations partially align with human brain reasoning areas, and fMRI-derived neural signals can guide models during inference and training to improve deductive reasoning robustness across tasks and premise orders.

NARFNARIbrain-inspired AI

0 likes · 15 min read

Brain Signals Guide Language Models for Robust Reasoning, Nature Study Shows

Data Party THU

May 10, 2026 · Artificial Intelligence

SpikingBrain 2.0 Breaks Long‑Sequence and Low‑Power Bottlenecks in Brain‑Inspired LLMs

The Chinese Academy of Sciences unveils SpikingBrain 2.0‑5B, a brain‑inspired large model that uses dual‑space sparse attention and dual activation (FP8 and INT8‑Spiking) to cut training cost by over tenfold, achieve up to 15× speedup on long sequences, and match Qwen‑3 performance while drastically reducing power consumption.

SpikingBrain2.0benchmark performancebrain-inspired AI

0 likes · 10 min read

SpikingBrain 2.0 Breaks Long‑Sequence and Low‑Power Bottlenecks in Brain‑Inspired LLMs

Huawei Cloud Developer Alliance

Dec 2, 2025 · Artificial Intelligence

Why Hierarchical Reasoning Model (HRM) Beats Large Models on ARC with Few Samples

The Hierarchical Reasoning Model (HRM) draws on brain-inspired hierarchical processing to achieve state‑of‑the‑art performance on ARC, Sudoku‑Extreme, and Maze‑Hard tasks using under a thousand training examples, while exposing generalization limits on private test sets.

ARC benchmarkAdaptive Computation TimeHierarchical Reasoning

0 likes · 11 min read

Why Hierarchical Reasoning Model (HRM) Beats Large Models on ARC with Few Samples

HyperAI Super Neural

Sep 30, 2025 · Artificial Intelligence

SpikingBrain-1.0 Achieves 100× Faster Inference with Brain‑Inspired Spiking Architecture

SpikingBrain-1.0, the first domestically‑produced brain‑inspired spiking large model, links spiking neuron dynamics to linear attention, delivering over 100× faster first‑token latency on 4‑million‑token sequences, 23.4% FLOP utilization, 69% sparsity, and a one‑click deployment tutorial on HyperAI.

SpikingBrain-1.0brain-inspired AIinference speedup

0 likes · 7 min read

SpikingBrain-1.0 Achieves 100× Faster Inference with Brain‑Inspired Spiking Architecture

brain-inspired AI

Brain Signals Guide Language Models for Robust Reasoning, Nature Study Shows

SpikingBrain 2.0 Breaks Long‑Sequence and Low‑Power Bottlenecks in Brain‑Inspired LLMs

Why Hierarchical Reasoning Model (HRM) Beats Large Models on ARC with Few Samples

SpikingBrain-1.0 Achieves 100× Faster Inference with Brain‑Inspired Spiking Architecture

SpikingBrain 2.0 Breaks Long‑Sequence and Low‑Power Bottlenecks in Brain‑Inspired LLMs