CEVA
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CEVA's 2nd Generation Neural Network Software Framework Extends Support for Artificial Intelligence Including Google's TensorFlow
- CDNN2 supports the most demanding machine learning networks, from pre-trained network to embedded system, including GoogLeNet, VGG, SegNet, Alexnet, ResNet and more - CDNN2 becomes industry's first software framework for embedded systems to automatically support networks generated by TensorFlow(tm) - Combined with CEVA-XM4 imaging and vision processor, CDNN2 offers highly power-efficient deep learning solution for any camera-enabled device
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CEVA Accelerates Machine-to-Machine System Design with Communication Reference Platform
CEVA's Dragonfly(tm) reference platform reduces time-to-market for power and cost-sensitive IoT and M2M devices supporting low-data rate connectivity, including LTE Cat-1, Cat-0, Cat-M and NB-IoT standards
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CEVA Introduces New Low Power Communication DSPs to Address the Multimode Connectivity Requirements of IoT and M2M
New CEVA-XC5 and CEVA-XC8 vector processors deliver unprecedented power and performance efficiencies for cost-optimized, low data rate applications
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CEVA Brings Human-Like Intelligent Vision Processing to Low-Power Embedded Systems
New CEVA-XM4 imaging and vision IP takes embedded vision one step closer to human vision, enabling: - Real-time 3D depth map and point cloud generation - Deep learning and neural network algorithms for object recognition and context awareness - Computational photography for image enhancement including zoom, image stabilization, noise reduction and improved low-light capabilities
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SGA Innovations Partners with CEVA to offer a DSP-based Wireline and Wireless Communication Solution for the IoT Market
SGA Innovations joins CEVAnet partner program to offer 802.15.4/Zigbee and PLC IP based on the CEVA-TeakLite-4 DSP core
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CEVA Enriches its Computer Vision Software Library for Flagship CEVA-MM3101 Imaging and Vision Platform
- Functions such as HOG, ORB, SURF and Optical Flow now included in more than 750 functions in the CEVA-CV library - CEVA's Android Multimedia Framework (AMF) streamlines programmers integration of CEVA-CV library with Android OS - Offloading of computer vision functions from CPU or GPU onto CEVA-MM3101 significantly increases performance and reduces power consumption of overall system
CEVA