Computer Vision is undergoing dramatic changes because deep learning techniques are now able to solve complex non-linear problems. Computer vision pipelines used to consist of hand engineered stages mathematically optimized for some carefully chosen objective function. These pipelines are being […]
Technical Insights II
February 12, 2020
• peters
Recent McKinsey research cites the top five limitations that prevent companies from adopting AI technology. Training data strategy is a common thread. Companies face challenges obtaining enough AI training data, developing strategies for robust data quality and ensuring that bias […]
While there has been rapid progress in the adoption of neural networks and the evolution of neural network structures, the problem of training data remains. Even companies with access to the largest data sets still need additional data, and in […]
In many real-world use cases, deep learning algorithms work well if you have enough high-quality data to train them. Obtaining that data is a critical limiting factor in the development of effective artificial intelligence. In this talk, we’ll identify common […]
February 12, 2020
• peters
OpenVX is a state-of-the-art open API standard for accelerating applications using computer vision and machine learning. The API and its conformance tests enable applications to leverage highly specialized features of hardware platforms while still retaining portability of application code across […]
With over two million downloads per week, OpenCV is the most popular open source computer vision library in the world. It implements over 2500 optimized algorithms, works on all major operating systems, is available in multiple languages and is free […]
February 12, 2020
• peters
Rigorous and systematic benchmarking is key to developing efficient and reliable computer systems. While a solid methodology is necessary, it is not sufficient without representative workloads. In this talk, we describe the progress of developing MLPerf (mlperf.org), a new suite […]
Indoor autonomous navigation requires using a variety of sensors in different modalities. Merging together RGB, depth, lidar and odometry data streams to achieve autonomous operation requires a fusion of sensory data. In this talk, we describe our sensor-pack agnostic sensory […]
How do you design robots that are aware of their unstructured environments at a consumer price point? Excellent sensing is required but using low cost sensors. By fusing data from multiple sensors and making sure every sensor does multiple jobs […]
In this talk we’ll discuss how we design smart home video cameras to make neighborhoods safer. In particular, we’ll focus on three key elements of the system that are critical to the overall quality of the product. First, we’ll discuss […]
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