Archive | Imaging & vision

The Future of Smartphone Photography: Dual Cameras Meet Machine Learning

Immediately following the announcement of the iPhone 7 Plus, Apple’s first dual camera phone, commentators (like this post from wired and this post from eetimes) declared that dual cameras are the new norm for smartphone photography. That’s how much sway Apple has. As I speculated in my August 2015 post, this feature was anticipated since […]

Read full text

Deep Learning Frameworks, Features, and Challenges

Deep Learning on Embedded Systems As Artificial Intelligence (AI) expands into almost every aspect of our life, one of the major challenges is to bring this intelligence into small, low-power devices. This requires embedded platforms that can process extremely deep Neural Networks (NN) with high performance and very low power consumption. However, this is still […]

Read full text

Come and meet the CEVA team at Linley Processor Conference 2016

              As Artificial Intelligence continues its relentless evolution, one of the major challenges facing the technology is how to successfully integrate it into the small, low power devices we use in our everyday lives. The extremely-deep neural networks underlying AI require high-performance, yet power-efficient embedded platforms to handle the […]

Read full text

On Demand Webinar: Deep Learning on Embedded Systems

As Artificial Intelligence (AI) marches into almost every aspects of our lives, one of the major challenges is bringing this intelligence to small, low-power devices. This requires embedded platforms that can deliver extremely-high Neural Network performance with very low power consumption. However, that’s still not enough. Machine Learning developers need a quick and automated way […]

Read full text

Open Source Deep Learning Frameworks: Now on Embedded Platforms

The latest Google I/O conference highlighted the fact that artificial intelligence (AI) is one of Google’s main focuses. And not just in reference to research-oriented, futuristic projects, like delivery drones. Google has made it quite clear that AI is coming into consumer homes and handheld devices now, in 2016, as my colleague expressed in this […]

Read full text

Video Stabilization Using Computer Vision: Tips and Insights from CEVA’s Experts (Part 2)

Ben Weiss – Imaging & Computer Vision Developer Yury Schwarzman – Imaging & Computer Vision Team Leader In our previous post, we took a look at some of the aspects that make video stabilization a must-have feature in many different camera applications. We then dove into the details of the first two stages of the […]

Read full text

5 Google Projects that Will Bring AI into Your Home This Year

Takeaways from Google I/O 2016 The tenth annual Google I/O conference was all about artificial intelligence (AI). Advances in voice recognition, image recognition, translation, and contextual conversational assistance were some of the main highlights of the keynote. Google CEO Sundar Pichai stated that “thanks to profound advances in machine learning and AI… we are poised […]

Read full text

Video Stabilization Using Computer Vision: Tips and Insights from CEVA’s experts

Demand is on the rise for video cameras on moving platforms. Smartphones, wearable devices, cars, and drones are all increasingly employing video cameras with higher resolution and higher frames rates. In all of these cases, the captured video tends to suffer from shaky global motion and rolling shutter distortion, making stabilization a necessity. Integrating an […]

Read full text