SPARSETECH

Downloadable software for digital signal processing, spectral analysis, frequency-domain analysis, and computationally efficient signal transformation; downloadable software for artificial intelligence and machine learning, namely, software for neural network optimization, model compression, simplification, parameter reduction, pruning, and inference efficiency in deployment-constrained computing environments; downloadable software for implementing knowledge transfer, knowledge distillation, and ensemble learning techniques for machine learning models; downloadable software development kits (SDKs) for signal processing, artificial intelligence, telecommunications, audio processing, image processing, computer vision, multimodal modeling, and scientific and technical computing applications; downloadable software for providing algorithm libraries for signal processing, artificial intelligence, telecommunications, audio processing, image processing, computer vision, multimodal modeling, and scientific and technical computing applications; downloadable application programming interface (API) software for signal processing, artificial intelligence, telecommunications, audio processing, image processing, computer vision, multimodal modeling, and scientific and technical computing applications; downloadable software for acceleration, optimization, and deployment of signal processing and machine learning workloads on general-purpose and specialized computing platforms

Software as a service (SaaS) featuring software for digital signal processing, spectral analysis, data analysis, and neural network optimization; research and development of algorithms, software, and computational frameworks for signal processing and machine learning; design and development of software and algorithmic systems for optimizing computational models used in language processing, computer vision, audio and speech processing, multimodal systems, recommendation systems, telecommunications, and scientific and technical computing, namely, development and optimization of algorithms and software for high-performance, resource-constrained, and large-scale computational environments; providing temporary use of non-downloadable software for model compression, simplification, parameter reduction, inference optimization, and knowledge transfer in artificial intelligence systems