What does it take to build data converter IP that will meet the reliability and functional safety requirements of the automotive industry?
Synopsys has extended its range of semiconductor IP for use in advanced driver assistance (ADAS) and autonomous vehicle SoCs with the launch of embedded vision processor blocks that have been given safety enhancements.
Will discuss how automotive OEMs and chip designers can use AI, deep learning, and convolutional neural networks to achieve better performance than traditional techniques.
A year on from the last Computex and the launch of the Cortex-A73 and Mali-G71, ARM has launched a new trio of processors aimed not just at smartphones this time but servers and driver-assistance systems.
Engineering consultancy pays undisclosed sum for IMGworks division.
Two upcoming webinars focus on key aspects of designing the kinds of advanced driver assistance systems (ADAS) that will pave the way for fully autonomous vehicles.
Work by the Multicore Association to provide a standard way for applications running on different processors to communicate with each other is leading to active implementations.
Ceva has launched the fifth generation of its vision-oriented DSP core family with an architecture tuned for the fast-growing area of convolutional neural networks and deep learning.
NXP discusses second silicon flavor for automotive radar, after earlier launch of postage-stamp devices.
Altera has agreed to Intel's offer to buy the company, with FPGAs to be integrated into Xeon processors after 2016. Atoms will join programmable logic in IoT-oriented devices.
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