Montreal, QC – April 22, 2020 – Algolux, the automotive industry’s leading provider of robust and scalable perception solutions, has won the top award at the 2020 Tech.AD Europe Conference. Algolux’s Eos Embedded Perception Software was recognized as the Most Innovative Use of Artificial Intelligence and Machine Learning in the Development of Autonomous Vehicles and […]
Dave Tokic, Vice President of Marketing at Algolux, and Gary Brown, Director of AI Marketing in Intel's IoT Group, demonstrates the companies' latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Tokic and Brown demonstrate how they have come together to provide industry-leading computer vision accuracy and robustness across all conditions
Montreal, Canada – September 16, 2019 – Algolux, the leading provider of software for autonomous computer vision, has announced it has been named an IDC Innovator for Computer Vision in a new report* titled ‘IDC Innovators: Computer Vision Software, 2019’. Computer vision is a fundamental enabler of numerous markets such as automotive, autonomous vehicles, robotics,
Algolux Named as an IDC Innovator for Computer Vision Read More +
This blog post was originally published at Algolux's website. It is reprinted here with the permission of Algolux. Why are darkness and bad weather considered “corner cases” by the industry? The chilly rain this past weekend was unusual in that it should be warm and sunny in northern California by now. This also capped 2
A “Not-So-Simple” Matter of Perception for Safe Self-Driving Cars and ADAS Read More +
Autonomous Computer Vision Leader and AI Research Consortium to Advance Deep Learning Computer Vision Technologies Montreal, Canada – July 24, 2019 – Algolux, the leading provider of software for autonomous computer vision, has announced a research partnership with Mila, an academic research institution dedicated to advancing artificial intelligence (AI), with a strong focus on deep
Algolux and Mila Enter Artificial Intelligence Research Partnership for Computer Vision Read More +
Algolux and University Scientists Develop Non-Line-of-Sight Technology That Photographs Hidden Objects Using Conventional Camera Sensors Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California – June 18, 2019 – Algolux has announced that a team of researchers from Algolux, the University of Montreal, and Princeton University has developed a new method that lets
Researchers Enable Today’s Vehicle and Smartphone Cameras to See Around Corners Read More +
Montreal, Canada – March 13, 2019 – The Business Intelligence Group today announced that Algolux was named a winner in its Artificial Intelligence Excellence Awards program. Algolux, the leading provider of software for autonomous vision, was recognized for the significant improvement in perception system accuracy and robustness that its AI-based Eos Perception Software provides for
Algolux Named Winner in 2019 Artificial Intelligence Excellence Awards Read More +
End-to-End Design and Implementation Approach Optimizes Safety, Scalability, and Costs Auto Tech.AD Conference, Berlin, Germany – March 11, 2019 – Algolux, the leading provider of software for autonomous vision, has announced the Ion™ Platform for end-to-end vision system design and implementation. Based on patented research combining machine learning, computer vision, and computational imaging technologies, Ion
Algolux's CNA is the 2018 Vision Product of the Year Award Winner in the Automotive Solutions category. CANA is a novel end-to-end deep neural network (DNN) for much more robust perception in challenging imaging conditions, such as low light, adverse weather, or lens issues found in the real world. RAW or lightly processed image sensor
2018 Vision Product of the Year Award Winner Showcase: Algolux (Automotive Solutions) Read More +
Felix Heide, CTO and Co-founder of Algolux, presents the “Understanding Real-World Imaging Challenges for ADAS and Autonomous Vision Systems – IEEE P2020” tutorial at the May 2018 Embedded Vision Summit. ADAS and autonomous driving systems rely on sophisticated sensor, image processing and neural-network based perception technologies. This has resulted in effective driver assistance capabilities and
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