TimesFM-3 brings multivariate forecasting to manufacturing and banking, helping leaders spot outages, cash swings, and demand shifts early—then act before cost, risk, and delays grow across all firms. By combining linked historical signals with known future events, it produces faster, probabilistic forecasts that help teams plan maintenance, liquidity, inventory, and capacity with more confidence.
The Chinese SpikingBrain is a new family of brain-inspired large language models that reimagines how AI can process information more efficiently. SpikingBrain models adopt a biological principle: neurons remain idle until an event triggers them to fire. This event-driven design reduces unnecessary computation, cuts energy use, and enables faster responses. SpikingBrain achieves over 100× speedup in “time to first token” for sequences up to 4 million tokens. Energy consumption drops by 97% compared to traditional LLMs.
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