AI-Enabling Phone Chips

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The New ARM Chips Will Increase Performance on Phones

The new ARM chips have a number of improvements from previous models. The company is releasing two different phone chips that will increase performance and enhance AI capabilities on mobile devices. One of the phone chips is titled the 'Mali-G77 GPU.' This design allows for 40 percent faster graphics than the previous model and has a 60 percent increase in machine learning speed. Battery efficiency was also a focus for the new 'Mali-G77 GPU,' it is 30 percent more energy efficient and consumes 40 percent less bandwidth.

The other model is titled the Cortex-A77 CPU. This model has a 20 percent faster performance than the previous one. This has resulted in approximately 35 times faster machine learning capabilities for the chip. The new ARM chips are expected to be put to use in 2020.
Trend Themes
1. Improved Performance - The new ARM chips offer significant improvements in performance, enabling faster graphics and machine learning capabilities on mobile devices.
2. Enhanced AI Capabilities - The new ARM chips enhance AI capabilities on mobile devices, providing faster machine learning capabilities and increased energy efficiency.
3. Battery Efficiency - The new ARM chips prioritize battery efficiency, offering 30% more energy efficiency and consuming 40% less bandwidth.
Industry Implications
1. Mobile Technology - The advancements in ARM chips will disrupt and drive innovation in the mobile technology industry, pushing for faster performance and enhanced AI capabilities on smartphones.
2. Semiconductor Manufacturing - The development of AI-enabling phone chips presents disruptive innovation opportunities in the semiconductor manufacturing industry, with a focus on improving chip performance and energy efficiency.
3. AI and Machine Learning - The new ARM chips with enhanced machine learning capabilities will drive disruptive innovation in the AI and machine learning industry, empowering faster and more efficient AI applications on mobile devices.

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