商汤联合创始人兼首席科学家在2026 AI创新论坛指出,模型架构优化能显著降低单位智能所需的算力。其新发布的多模态模型SenseNova U1基于自研Neo-Unify架构,实践了这一理念,在生成信息图时实现了显著更低的计算成本,并已适配多款中国芯片。商汤强调持续通过应用与模型创新推动芯片发展,以创造商业价值与长期竞争力。
At SenseTime, we believe the future of #AI is shaped by continuously pushing the boundaries of #FoundationalInnovation.
At the 2026 AI Innovation Forum, our Co-founder and Chief Scientist Dr. @lindahua highlighted an important industry trend: #ModelArchitecture optimization can significantly reduce the compute required per unit of intelligence.
He also note that China's AI ecosystem should leverage application and model innovation to drive chip development forward.
SenseNova U1, SenseTime's latest multimodal model built on our proprietary Neo-Unify architecture, demonstrates this in practice - achieving significantly lower #ComputeCosts in infographic generation while being simultaneously adapted to multiple #ChineseChips.
At the same time, we continue developing AI solutions that genuinely solve user problems and create sustainable #CommercialValue, strengthening our long-term competitiveness in the evolving AI arena.