What is the core technology behind Applied Brain Research's AI solutions?
The core technology is state space models, a patented AI model type designed for real-time voice and time-series intelligence. These models compress the dynamics of time-dependent signals, making processing far more efficient than traditional approaches.
What problem does Applied Brain Research aim to solve for edge devices?
It aims to solve the problem of cloud dependence for AI processing on edge devices, making AI instant, private, and local. The goal is to deliver real-time intelligence without requiring a connection to distant servers.
On what types of devices and for what applications is this technology used?
The technology is used on AR glasses, wearable devices, smart home appliances, and robotics. Specific applications include real-time speech transcription, translation, voice control, biosignal processing, and natural human-machine interaction.
Who is the target audience for these AI solutions?
The target audience is developers building intelligent devices who need on-device AI that is ultra-low-power, private, and always responsive without cloud dependence.
What are the key benefits or features of the state space models offered?
The key benefits are ultra-low power consumption, real-time performance with the lowest possible latency, always-on intelligence, and enhanced privacy through on-device processing. The models are designed to be smaller, faster, and more human-like than previous transformer-era models.
What is Applied Brain Research?
Applied Brain Research is a company that provides edge AI solutions based on state space models for real-time speech processing and on-device intelligence in devices like AR glasses, wearables, and smart home appliances.