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Fly News Breaks for April 10, 2015
FSL, NXPI
Apr 10, 2015 | 08:52 EDT
Stifel raised its price target on NXP (NXPI) to reflect potential accretion from the company's acquisition of Freescale (FSL) The firm expects the company's revenue for its March quarter to be down 4.2% quarter-over-quarter, in-line with its guidance. Stifel says the March quarter results should represent the bottom for the year, and it continues to view the company as one of the better positioned names in the semi space. The firm keeps a Buy rating on the shares.
News For NXPI;FSL From the Last 2 Days
NXPI
Mar 18, 2024 | 18:41 EDT
The company stated: "At NVIDIA GTC, NXP Semiconductors (NXPI) announced a collaboration with NVIDIA (NVDA) that enables NVIDIA's trained AI models to be deployed on NXP's broad portfolio of edge processing devices through the eIQ machine learning development environment. This exciting enablement offers developers the ability to accelerate development in the increasingly competitive world of AI, made possible by the functional integration of the NVIDIA TAO Toolkit into the NXP's eIQ machine learning development environment. NXP is the first semiconductor vendor to integrate the NVIDIA TAO APIs directly within an AI enablement offering to make it easier for developers to deploy trained AI models at the edge. Simplifying the training and deployment of AI models is one of the biggest challenges facing today's AI developers. To address this challenge, NXP collaborated with NVIDIA to integrate the NVIDIA TAO APIs directly within NXP's eIQ machine learning development environment. The NVIDIA TAO low-code AI framework makes it easier to leverage trained AI models and fine tune them for specific uses with transfer learning, while NXP's eIQ development environment eases the deployment of these models to the edge through a combination of software, inference engines, neural network compilers and optimized libraries. As a result of this integration, customers benefit from accelerated AI development, access to a library of pre-tested AI models, and the ability to deploy them on NXP's wide portfolio of edge processors."