Sparse Modeling enables highly accurate AI models, even when trained with small amounts (frugal) of data. HACARUS’ award-winning AI technology provides a more efficient and resource-friendly alternative to conventional AI techniques.
Human users are able to understand HACARUS’ AI models decision making process, unlike other conventional AI techniques. By understanding the rationale behind AI decision making, it is possible to accelerate the development of future applications.
HACARUS’ AI can be easily integrated into a variety of different environments and does not require a dedicated hardware (GPU) or cloud connectivity, allowing it to be run in existing operations at customers’ sites (CPU).
Evaluating SPECTRO – AI Enabled Visual Inspection in the BMW Startup Garage
Case Study：Yanmar
Mitsubishi Electric’s Future Vision for Manufacturing – Advancing Factory Automation with HACARUS using Cutting Edge Technology
Osaka Gas’s Approach to DX – Collaborating with HACARUS to bring innovative solutions to customers
Case Study：Hitachi Zosen
Hacarus and PALTEK announce collaboration on artificial intelligence-based FPGA products
Congatec and Hacarus present AI kit based on Sparse Modeling: Less is More
HACARUS and Kyoto University Join Forces to Tackle Cervical Cancer
