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1. MediaTek led the world's first edition of the 3GPP 5G NR standard was formally completed;
Set of micro-network messages, 3GPP Technical Specification Group (TSG) Wireless access Network (RAN) the General Assembly was held today in Lisbon, Portugal. MediaTek, with global technology and telecoms leaders, issued a statement announcing the completion of the new 5G (NR, new Radio) standard. This is a key milestone in the 5G standardization process and will set the stage for the global mobile communications industry, enabling countries to launch a large-scale pilot operation and subsequent commercial deployments of the 5G network in early 2019. "3GPP first edition 5G standard completion is a key milestone and a very important step in achieving the 5G commercialization goal," said Zhou Yujun, a senior deputy general manager and technical chief at MediaTek Technology (CTO). MediaTek is one of the major contributors to the 5G standard, and will continue to push for the evolution of the 5G standard in the future. With the steady progress of standard setting, our focus will begin to provide commercial solutions, and to enable 5G to fully realize its potential in the application area. The representatives of the industry in Lisbon, in addition to MediaTek, include T, BT, China Mobile, Deutsche Telekom (Deutsche Telekom), Ericsson (Ericsson), Fujitsu (Fujitsu), Huawei ( Korea EADS, Intel, Korea Telecom (LG Electronics), NEC, NOKIA, NTT DOCOMO, Orange, Qualcomm Technology Co., Samsung, Sony Mobile Communications), Sprint, Italia Telecom (TIM), Telefónica (Telefonica), T USA, Verizon, Vodafone, ZTE (ZTE) and other companies. The members of the 3GPP standard-setting organization are made up of global leaders in the mobile communications industry. All members were announced at the MWC Conference held in Barcelona February 27 this year to fully support 5G nr to speed up standardization time. Following the announcement, the 3GPP conference was convened in Dubrovnik, Croatia, on March 9, and the parties agreed to expedite the standard-setting process and to incorporate the first edition of the standards into the 3GPP Release 15 specification (Dubrovnik). MediaTek has continued to expand its investment in the development and technical standards of 5G new technology in recent years, and has been selected for important seats in relevant organizations, including 3GPP Working Group Vice-Chairmen, Standard and technical project speaker (Rapporteur), GTI 5G Sub-6ghz project leader, Taiwan, the Chairman of the Association of Industry Standards and other functions. With the global telecommunications and technology leading manufacturers to complete the 5G key milestones, will enable all sectors in a cost-effective way to fully develop 5G NR, and then significantly improve the function of 3GPP system, and open up vertical market opportunities.
2.NXP 2018 MCU chip price first shot;
It is reported that recently, the European semiconductor giant NXP Company to its agents issued a notice of price increases. The notice said that from the first quarter of 2018 to NXP's MCU (micro-controller), digital network, automotive microcontrollers and other major products to raise prices. The price rises ranged from 5% to 10%, marking the first shot of the semiconductor giant's 2018-year MUC chip price increase. At present, other peers in the wait-and-see, but there are analysis that St Italian semiconductor may follow up the increase. According to media reports, because the automotive electronics and Internet market demand for MCU is very strong, resulting in the MCU supply shortage, prices continue to soar. Related stocks, concerned about the middle-ying Electronics (300327-CN), the East Soft Carrier (300183-CN).
Source: Securities Times
3.Tesla announced to invest in AI chip research and development Nvidia will be in readiness;
Tesla CEO Elon Musk in the 2017 session of the Neural Information Processing system (NIPS), said Tesla is actively from the software, hardware to develop artificial intelligence technology, and revealed that Tesla has been put into the development of artificial intelligence chip. If Musk can do what it wants, it is likely to pose a big threat to Nvidia's market position. According to the Motley Fool website, nvidia first stepped into the AI market and took the initiative. Nvidia is adept at parallel processing of GPU, which is suitable for the training of artificial intelligence systems. NVIDIA's data center revenue has grown 600% in two years, and the company's overall revenue has been doubled. Yet Tesla's attempt to develop artificial intelligence may not make nvidia too long. Tesla in 2016 to the former Apple and Micro (AMD) chip engineer Jim Keller. Keller for Apple, is responsible for the development of customer-made chip. Musk said that Keller for Tesla to create a customized chip, will be the world's best artificial intelligence dedicated hardware. On the other hand, the micro-is constantly trying to improve its own competitiveness in the field of artificial intelligence. Earlier, Tesla has been working with the micro-development of AI chip, but the news has not been confirmed by both sides. In any case, these vendors do not want NVIDIA to continue to enjoy the advantages of a pioneer. Alphabet's Google is one of the pioneers in the development of artificial intelligence. The TPU (Tensor 處理 unit), published in 2016, has been in the Google data Center for more than a year. In addition, Google is also one of the long-term customers of the NVIDIA GPU. In early 2017, Google launched the second generation of TPU, which was able to perform training and inference (inference) at the same time. In the past, Google TPU can only engage in artificial intelligence inference, so the algorithm training relies on the Nvidia GPU. After the introduction of the second generation of TPU, Google may be able to escape the influence of the NVIDIA GPU. Intel is putting the artificial intelligence campaign on two fronts. Intel first cost 16.7 billion dollars to buy Altera, achieved FPGA technology, and in 2016 years spent about 400 million U.S. dollars to acquire new company Nervana, the development of artificial intelligence ASIC chip. Nervana attempts to remove components that are not required for AI applications from the GPU and claims that this will allow the GPU to increase its computing power to 10 times times the current size. The development of artificial intelligence is still in the initial stage. While Nvidia has a few advantages, it doesn't mean that the GPU will always be the champion. Tesla is developing AI chips and is just one of the many challengers that Nvidia will face. Digitimes
4. Sony plans to develop sensor technology for robots and self-driving cars;
TechWeb reported December 21 news, according to foreign media reports, Sony is prepared to report the highest profit since the year, because the consumer electronics products for many years, the image sensor sales momentum, and hope that in the case of intensified competition in the development of robots and self-driving vehicles technology.
The result will mark a major turnaround for the big business group, once known for leading the world in consumer products such as its Walkman music player, and has now reopened image sensors and gaming products.
Sony expects operating profits to reach 63 billion trillion yen (5.6 billion U.S. dollars) as of March, up by more than a year earlier, and the chip sector, which is mostly comprised of image sensors, has become the group's biggest growth driver.
Executives believe that technological breakthroughs in imaging sensors and changes in corporate thinking are key to success. This breakthrough creates a sensor that captures more light to produce clearer images that coincide with soaring demand for consumers to share photos in social media.
Involves reconfiguring the sensor layout and a breakthrough called back lighting allows Sony to capture nearly half of the image sensor market.
But with rivals such as Samsung and OmniVision technologies ramping up their game development and developing new sensor technologies for robots and self-driving cars, the company is already speeding up sensor competition.
Investors said Sony still had a technical advantage and needed time for others to replicate.
Kun so Lee, senior chief analyst at IHS Markit in Tokyo, said: ' Sony has been trying to lead but could face a turnaround in a year or two. '
They are developing sensor technologies that can quickly measure distances or detect and are expected to be used for automatic driving, factory automation and robotics.
For example, the ' Flying age ' sensor calculates distances by measuring the time it takes to reflect light from an object, and can be used for drones or robotic gestures and object recognition.
"Obviously, we are relying on the smartphone market," said Shimizu, head of chip business. It's good for us to switch from one lens to two cameras, but how long will this last? Because the volume of market shipments only increased by 1% or 2%. '
5. The first basic component of a new quantum computer is faster
Swedish and Austrian physicists have worked together to develop a single quantum Bitridberg (Rydberg) gate, the first fundamental component of a new quantum computer that imprisons a Rydberg ion quantum computer, according to a recent report by the physicist's network. New research has shown the feasibility of building this quantum computer, which has the potential to overcome the expansion of current quantum computing methods.
At present, one of the biggest problems that quantum computers face is how to increase the number of entangled qubits in each logic gate, which is crucial for developing practical quantum computing devices. The difficulty of upgrading is due in part to the fact that the multiple quantum bit logic gates commonly used in the system of trapping ions are subject to ' spectrum congestion ' as the number of quantum bits increases. However, the system of trapping Rydberg ions is not affected by the problem of spectral congestion, which suggests that quantum computers developed with imprisoned Rydberg ions as qubits may become more capable quantum computers.
The researchers published a paper in the latest issue of Physical Review letters saying they built the first single quantum Bitridberg gate. In order to do this, it is necessary to create a Rydberg coherent excitation of a single ion. They begin by trapping a strontium ion in a trap, then using a laser to excite the ions from a low quantum state to the first excited state, and then excite it to a more energetic Rydberg state.
The key point of the experiment is that the Rydberg state is obtained by the coherent method, which is very important for the construction of the multi Quantum Bitridberg gate. The researchers combined coherent rydberg excitation with quantum manipulation methods to show a single quantum Bitridberg gate. They estimate that this single quantum bit system can be extended to two qubit systems, and more qubits can be added in the future.
In addition to potential upgrades, quantum computers developed based on imprisoned Rydberg ions have other advantages, including better control of qubits and faster gate operations, and they will study these possibilities further.
"Next, we will measure the intense interaction between the two Gerard Higgins ions, and let the entangled Rydberg ions have the potential to generate very large entangled states," said research director. ' Science and Technology daily