Rain Neuromorphics is a startup with a team size of 12 and participated in Y Combinator's S18 batch. The company is focused on creating neuromorphic hardware, which is a form of deep learning technology, as evidenced by their use of spiking neurons and physical synapses to build artificial intelligence processors inspired by the brain.
Lightmatter is a startup that has raised significant funding and is valued at $1.2 billion. The company focuses on photonic technology to enhance AI and machine learning, and offers products like Idiom that interface with deep learning frameworks, indicating a strong focus on deep learning as part of their core technology.
STRADVISION is a startup that develops AI-based camera perception technology for self-driving vehicles, with a strong focus on deep learning as evidenced by their SVNet deep learning perception software and over 400 patents related to deep neural network technology.
Kumo.ai is identified as a startup, as it has been named a Top AI Startup by Forbes. The company primarily focuses on deep learning, specifically utilizing state-of-the-art Graph Neural Networks to learn directly from raw relational data without manual feature engineering. This indicates a strong emphasis on deep learning as their core technology.
SevaMob is a startup that offers an AI-assisted disease management platform with products that utilize deep learning, among other AI technologies, for medical condition prediction and screening.
Cerebras Systems is a startup that focuses on AI supercomputers and AI model services, which are integral to deep learning. Their products, such as the CS-3 AI accelerator and the Cerebras Software Platform, are designed to enhance the performance of deep learning models. Additionally, their solutions are used in applications like large language models, which are a key area of deep learning.
Atomwise is a startup that was part of Y Combinator's W15 batch, and it has developed a machine learning-based discovery engine that combines convolutional neural networks with massive chemical libraries. Additionally, they invented the use of deep learning for structure-based drug design, indicating a primary focus on deep learning as their core technology.
Atomic AI is a startup that has raised $35 million in Series A financing and is primarily focused on deep learning as evidenced by their use of deep learning foundation models and the development of the Platform for AI-driven RNA Structure Exploration (PARSE). Their technology has also been featured in a scientific article on geometric deep learning of RNA structure.
Clostra is a startup that specializes in machine intelligence applications and uses state-of-the-art deep learning approaches to create innovative software solutions. This indicates that deep learning is a core technology for the company.
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