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

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

AntTech

Dec 5, 2022 · Artificial Intelligence

Four AAAI‑23 Papers from Ant Security Lab on Adversarial 3D Point Clouds, GNN‑Based Anti‑Money Laundering, Spiking Neural Network Dynamic Graph Learning, and Differential‑Private Adaptive Clipping

Ant Security Lab reports four AAAI‑23 accepted papers that introduce PF‑Attack for transferable 3D adversarial point clouds, AMAP a GNN‑driven anti‑money‑laundering framework, SpikeNet a spiking‑neural‑network approach for efficient dynamic graph representation, and DP‑PSAC a per‑sample adaptive clipping method for differential privacy, each with experimental validation and expert commentary.

AAAI-23adversarial attacksdifferential privacy

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Four AAAI‑23 Papers from Ant Security Lab on Adversarial 3D Point Clouds, GNN‑Based Anti‑Money Laundering, Spiking Neural Network Dynamic Graph Learning, and Differential‑Private Adaptive Clipping