Recogni Inc., a startup specializing in artificial intelligence hardware for autonomous vehicles, has announced a successful funding round that raised $102 million. The funding was co-led by Celesta Capital and GreatPoint Ventures, with participation from existing and new investors, including Mayfield, DNS Capital, BMW i Ventures Inc., and the Public Investment Fund’s Tasaru Mobility Investments.
Recogni, founded in 2017, focuses on developing AI hardware that enables autonomous vehicles to visually understand their surroundings using raw data from sensors. By enhancing object detection capabilities, Recogni’s chips enable more rapid recognition and higher computational power at lower energy usage. This increased efficiency allows for improved performance and lower costs in the development of autonomous vehicles.
Unlike many AI chips on the market that focus on consuming large amounts of raw data for developing and training AI models, Recogni’s chips are designed for inference. Inference occurs when an AI model is deployed and utilized to solve tasks or make predictions based on live data. This is particularly important for autonomous vehicles, which rely on real-time data from their surroundings to adjust their behavior on the road.
Recogni’s hardware solution, known as the Scorpio, was launched in December 2022. It is the company’s first low-power compute chip specifically tailored for autonomous vehicles. The Scorpio chip can deliver 1,000 teraflops of inference at the lowest power consumption in the industry, making it 10-20 times more power efficient than competing solutions at the time.
Recogni believes its hardware solution has potential beyond self-driving vehicles and can be deployed in various industries, including biopharmaceutical, financial, healthcare, retail, entertainment, and fraud detection. The company aims to redefine data centers and enterprises while revolutionizing sectors such as automotive and aerospace.
Marc Bolitho, the CEO of Recogni, emphasizes the urgent need for solutions that address the core challenges of AI inference processing, including compute capability, scalability, accuracy, and energy savings. Bolitho highlights Recogni’s pivotal advances in engineering and their potential to transform industries.
The recent funding round significantly strengthens Recogni’s position in the AI hardware market and provides further momentum for their groundbreaking technology.
Recogni Inc., a startup specializing in artificial intelligence hardware for autonomous vehicles, has successfully raised $102 million in a funding round. The funding was co-led by Celesta Capital and GreatPoint Ventures and saw participation from existing and new investors such as Mayfield, DNS Capital, BMW i Ventures Inc., and the Public Investment Fund’s Tasaru Mobility Investments.
Recogni, founded in 2017, focuses on developing AI hardware that allows autonomous vehicles to visually understand their surroundings using raw data from sensors. The company’s chips enhance object detection capabilities, enabling faster recognition and higher computational power while consuming less energy. This increased efficiency leads to improved performance and lower costs in the development of autonomous vehicles.
Recogni’s chips are designed for inference, which is when an AI model is deployed to solve tasks or make predictions based on live data. This is particularly crucial for autonomous vehicles that rely on real-time data to adjust their behavior on the road.
The company’s hardware solution, called Scorpio, was launched in December 2022. Scorpio is Recogni’s first low-power compute chip specifically designed for autonomous vehicles and can deliver 1,000 teraflops of inference with low power consumption. It is estimated to be 10-20 times more power efficient than competing solutions at the time of its launch.
Recogni believes that its hardware solution can be applied to various industries beyond self-driving vehicles, including biopharmaceutical, financial, healthcare, retail, entertainment, and fraud detection. The company aims to redefine data centers and enterprises while revolutionizing sectors like automotive and aerospace.
Key Terms:
1. Autonomous vehicles: Vehicles capable of operating without human intervention, typically through the use of artificial intelligence and sensors.
2. AI hardware: The physical components, such as chips and processors, specifically designed for running artificial intelligence algorithms.
3. Inference: The process of using an AI model to solve tasks or make predictions based on real-time data.
4. Object detection: The ability of an AI system to identify and locate objects within an image or video.
Related links:
– Recogni official website
The source of the article is from the blog shakirabrasil.info