Algolux has announced a research partnership with Mila, an academic research institution dedicated to advancing artificial intelligence, with a strong focus on deep learning related to image processing and computer vision
Reconstruction of traffic signs with high-resolution colour non-line-of-sight imaging using conventional CMOS cameras sensors
Carnegie Mellon University showed a non-line-of-sight imaging technique able to compute millimetre- and micrometre-scale shapes of curved objects
Algolux won the software innovation award at the 2018 AutoSens conference for its artificial intelligence technology for autonomous vision
Algolux, a provider of machine-learning stacks for autonomous vision, has closed a $10 million series A funding round led by General Motors Ventures. Its technology has also won best automotive solution at the Embedded Vision Summit
Canadian machine learning company, Algolux, has won the ‘Most exciting startup’ award at the AutoSens show in Brussels on 20 September
Algolux, Inc. today announced CRISP-ML, the first machine learning platform to automate the complex optimization of vision systems. The platform’s advanced technology and architecture provide a unique advantage to both experienced and novice computer vision teams in addressing the growing cost, expertise, and time to market challenges they face in optimizing their systems.
The panel discussion at the Embedded World trade fair
Matthew Dale looks at what it will take to increase the adoption of embedded vision
InGaAs and event-based sensors still rely on silicon CMOS readout ICs
Greg Blackman explores the work being done on InGaAs sensors, along with other types of novel sensor that could find their way into the machine vision market
Oliver Fähnle, of Fisba, says optimising optical systems relies on communities in the supply chain talking to one another
Newly elected EMVA president Chris Yates considers what the future might hold for machine vision
Michał Czardybon, CEO of Adaptive Vision, on how to handle data and image annotation when working with deep learning
Raghava Kashyapa, CEO of Indian vision firm Qualitas Technologies, writes about the benefits and challenges of implementing machine vision in the cloud – and what this holds for manufacturing in India
Paul Wilson, managing director of Scorpion Vision, describes what it takes to install a 3D robot vision system in a Chinese foundry
