Week In Review: Auto, Security, Pervasive Computing


AI, machine learning Cadence says it has optimized its Tensilica HiFi digital signal processor IP to efficiently execute TensorFlow Lite for Microcontrollers, which are used in Google’s machine learning platform for edge. This means developers of AI/ML on the edge systems can now put better audio processing on edge devices with ML applications like keyword detection, audio scene detection, n... » read more

Understanding SLAM (Simultaneous Localization And Mapping)


Amol Borkar, senior product manager for AI and computer vision at Cadence, talks with Semiconductor Engineering about mapping and tracking the movement of an object in a scene, how to identify key corners in a frame, how probabilities of accuracy fit into the picture, how noise can affect that, and how to improve the performance and reduce power in these systems. » read more

Simultaneous Localization And Mapping


Amol Borkar, senior product manager at Cadence, explains how to track the movement of an object in a scene and how to match features from one image to the next using SLAM. The technology is used in everything from mobile phones to automotive and drones. » read more

SLAM And DSP Implementation


With the introduction of simultaneous localization and mapping technology, or SLAM, there comes a need for more sophisticated DSPs to handle the required computations. To address this need, Cadence has introduced the Tensilica Vision Q7 DSP to handle the requirements of SLAM, including high performance, low power, and with an ease of development that engineers can leverage to design new and exc... » read more