Fly News Breaks for March 5, 2015
NXPI, FSL, ATML
Mar 5, 2015 | 08:53 EDT
Goldman raised its view of the likelihood of an M&A deal for Atmel (ATML) to 30%-50% from 15%-30% after the merger of Freescale (FSL) and NXP Semiconductors (NXPI), noting it believes that deal illustrates the potential value of Atmel's MCU assets. Goldman calculated Atmel could be valued at $10-$13 per share in a takeout scenario if the EV/EBITDA valuation used in Freescale's deal is used. The firm raised its price target on Atmel to $8.50 from $7.50, citing the potential for a strategic deal, but maintained its Neutral rating on shares due to the firm's cautious view on Atmel's revenue and EPS growth in 2015.
News For ATML;FSL;NXPI 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."