Smells Like ML
SmellslikeML advances innovation in applied Machine Learning.With partners including NVIDIA, ARM, and Intel, we explore the frontiers of hardware accelerated AI applications.Besides blogging and competing, we also offer consultation services to get your custom machine learning applications off the ground.
Company Overview
Smells Like ML is a very small business operating in the Computer Software industry, with a team size of two. The company is classified as self-employed and is headquartered in San Francisco, CA, US. It engages in blogging and competes in the field of applied Machine Learning, focusing on advancing innovations in Artificial Intelligence and related technologies.
Services Offered
Smells Like ML provides consultation services aimed at helping clients develop custom machine learning applications. The company specializes in Machine Learning, Artificial Intelligence, and Software Engineering, offering expertise in creating ML-based product features and optimizing models for deployment environments.
Technological Partnerships
The company partners with leading technology firms, including NVIDIA, ARM, and Intel, to explore hardware-accelerated AI applications. These collaborations enhance the company's capabilities in developing advanced machine learning solutions and contribute to its innovation in the field.
Innovative Techniques and Tools
Smells Like ML employs various advanced techniques such as Latent Diffusion for faster training, SIFT and superpoint for tracking 2D image features, and generative models like GANs and diffusion models for creative applications. The company utilizes DepthAI cameras, ROS for streaming camera poses, and explores stereo vision for long-range detection, among other technologies.
Research and Development Focus
The company showcases experiments and innovations in Artificial Intelligence and applied Machine Learning. It explores custom machine learning tasks in constrained environments and engages in creating state-of-the-art autoML pipelines, real-time dense scene reconstructions, and obstacle avoidance in drone navigation, contributing to advancements in the field.