Guess what is the hardware cost of iPhone 7?
The iPhone 7 was released for more than half a month, and the lucky local tyrants have already got a new one. According to Apple's official price, iPhone 7 32GB, 128GB, and 256GB versions are priced at 5388, 6188, and 6988 yuan, respectively, and the corresponding iPhone 7 Plus is based on an increase of 1,000 yuan. In the case of improved performance, the price is basically the same. Keep the same with the previous generation.
Now that the problem has arisen, what is the cost of a new generation of iPhone? Did Apple really sacrifice profits?
The disassemble analysis report released by the market research company IHS Markit shows that the material and manufacturing cost of the 32GB iPhone 7 is US$224.8 (US$649), which is about 18% higher than that of the iPhone 6s released last year, and the cost only accounts for the selling price. About 35%.
CNN has given more detailed information. The battery cost is about 4 US dollars, the cost of the camera component is 26 US dollars, the motherboard is 74 US dollars, the loudspeaker is 11.5 U.S. dollars, and other parts (such as sensors and basebands, etc.) are 117.5 U.S. dollars. The screen and motherboard are the two most expensive parts.
In this way, the total cost of a 128 GB iPhone 7 is 292 US dollars (approximately RMB 1948), and the price of iPhone 6 is only 39% of the retail price. Of course, there is still a large amount of software and R&D costs that cannot be estimated.
Apple released macOS Sierra, what is the experience of using Siri on a computer?
Apple today released the new macOS Sierra operating system, which can be downloaded for free by Mac computer users worldwide.
macOS Sierra (version 10.12) brings many new features to Mac computers. This system is also known as iOS, watchOS, and tvOS. The focus of this update has been on integration with the iPhone and Apple Watch to improve the user experience.
macOS Sierra brings the Mac version of Siri, making it easy for users to find and search for information via voice. New continuity features are also available, including unlocking Mac computers with Apple Watch, cross-device universal clipboards, and more.
Better iCloud integration allows desktop and document folder files on a Mac to be accessed directly by users' other devices through the iCloud network drive. There is also a new deep learning algorithm for the recognition of faces, objects and scenes of photo applications to make searching photos easier.
AMD's new flagship graphics first exposure: 32GB HBM2 7nm process
AMD's next-generation graphics card currently only introduces the low-end core Polaris 10/11, and the real big move is still behind. VideoCardz learned of the roadmap for future AMD GPU graphics cards, and the reliability is quite high. The core code of AMD is "Vega" (Vega) and there are multiple versions, of which the head is "Vega 10", which was released in the first quarter of 2017. It will use 14nm technology, GFX9 new architecture - the current Polaris architecture codenamed GFX8, the previous generation of Fiji is GFX7.
Vega 10
Has 64 execution units (4096 stream processors), 24TFlops 16-bit floating-point computing performance, and with 16GB HBM2 memory, bandwidth 512GB/s. The entire card consumes about 225W. It will have a dual-core version, released in the second quarter of 2017, with a power consumption of about 300W.
Vega 11
Released next year, replacing the current Polaris 10 (RX 480/470), but the specific specifications are unknown, only to know that it is still 14nm.
Vega 20
The architecture is still GFX9, but the process will evolve to 7nm!
Yes, AMD has completely trusted GlobalFoundries, CPU processor, GPU graphics will skip 10nm and went straight to 7nm. GF has said that 7nm will be put into trial production in early 2018, so the AMD 7nm product will be the fastest to come later in 2018.
Vega 20 will have 64 computing units (4096 stream processors), 32GB HBM2 video memory, bandwidth 1TB / s, and thanks to a new process, the entire card power consumption is only about 150W. In addition, it will also support PCI-E 4.0, which will be released next year.
SanDisk Releases World's Largest Capacity SD Card: 1TB
According to foreign media reports, SanDisk recently released the world's largest SD card with a capacity of astonishing 1TB.
At present, this SDXC card is only a prototype, and the launch date and price are not yet clear, but the 1TB capacity still creates a milestone. As SanDisk's parent company's Western Digital points out, this is only 16 years since SanDisk launched the first 64MB SD card, and SanDisk's largest 512GB SD card was only available for the past two years. Time flies, today's 1TB SDXC card capacity is 16,384 times the 64MB SD card.
SanDisk said that considering the current video formats occupy a lot of storage space, such as 4K video, 8K video, 360-degree panoramic video, and virtual reality video, the introduction of a 1TB memory card is necessary. However, the large capacity also has a negative side. Its price is too expensive, and its overcapacity leads to relatively slow reading and writing speeds.
IBM and MIT team up to develop human-like AI
At present, the existing robots and other AI technologies still cannot understand the external world well. This time, IBM and MIT decided to join forces to achieve a long-standing cooperative relationship, aiming to develop human-like audiovisual capabilities. AI.
In their cooperation, IBM will make full use of Watson cognitive computing platform, and MIT is responsible for doing research. Although everything is still in its infancy, both of them firmly believe that cooperation will surely enable them to achieve their goals.
In this process, the biggest challenge is to improve AI's ability in pattern recognition and prediction. Knowing what they see and predicting what may happen next is not a matter for one person at all. It is precisely because of the ability to sum up and predict the development of things that nurses can better care for. Older workers can better repair complex machines. However, existing AI technology is not able to do this.
But next, we may witness some technical breakthroughs that are of little practical significance to the team and are not compatible with AI hardware and coding.
Aligning with IBM Google to develop artificial intelligence to help treat cancer
According to foreign media reports, Microsoft has developed a machine learning project Hanover that can "digest" the annual publication of cancer treatment academic papers. Its designer Hoifung Poon is currently working with researchers at the Oregon Cancer Institute's Knight Cancer Institute to seek through the Hanover system. Effective in the treatment of acute myeloid leukemia drugs, predicting the effectiveness of drugs, and to develop personalized treatment programs for patients.
Jeff Tyner, a researcher at the Knight Cancer Institute, said: "It's all exciting, but we are also facing new challenges: how to deal with this data? To solve this problem, as biologists, we decided to work with information scientists and Computational technical worker cooperation. The integration of cross-border resources can help us find therapeutic methods with better efficacy and fewer side effects.â€
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