Nervous, exciting, wonderful, around Gaofang 8Gen 1 millet is too deep

The topics in the industry in recent time are around Qualcomm Snapdragon 8Gen 1, especially those who can have the global debate. On December 1, accompanied the official release of the new generation Qualcomm Snapdron 8 Series Mobile platform, all suspense was announced.

Integrated into main melody

About Qualcomm 8Gen 1 The parameters of 8Gen 1 have not been speaking, after all, ordinary people don’t understand. And now there is no commercial machine, the real performance is not known. Everyone only needs to know that this generation is far from the CPU or GPU, and it is not the Snapdragon 888 series in power consumption and fever.

Xiaomi 12 Global first no suspense

There is a detail, and the Lei Jun is the guests of the first speech. At the end of the speech, the last public announced that Xiaomi 12 will start the world Qualcomm 8Gen 1 series. Of course, everyone also saw that Lenovo was also grabbed this first, and a trick came out. But everyone wants to understand that Xiaomi dares to be in the Snapdragon Technology Summit, which is the world’s first, this is the true start of Qualcomm. In fact, it is true that there is no real meaning, and it can be purchased. From now on, Xiaomi 12 has completed the production capacity climbing stage, and the first batch of deposited deposits can be described in terror.

A new generation of troubled dragon masters: millet 12

In 2021, the Gao Tonglong 888 series of reputation is really not good, it is caused by the problem of the process. Because of this existence, everyone is worried about the power consumption of Qualcomm 8Gen 1, how to heat the heat control, etc. In the face of this high-pass response is that the previous generation does not matter.

But everyone should understand the official response and brand optimization is two questions, and Xiaomi has a satisfactory achievement in the camera, optimized, and heat dissipation in recent years. Therefore, when the Lei Jun announced, the netizen said that Xiaomi 12 is definitely a new generation of troubled dragon, as for this model, there is currently no accurate information. However, it is certain that Xiaomi 12 should be the only one that can be bought before the Spring Festival, and it is very busy to build a smartphone based on Qualcomm Snapdragon 8Gen 1 platform.

Intel Ai Baijia Innovation Plan 丨 Improvement Online: Let data flow safer

With the rapid development of the Internet, more and more data, privacy, property, etc. are stored in the network, and credible identity security has become quite important. Simple password scheme is increasingly difficult to take responsibility for ensuring user identity. In the era of data security issues, how to ensure the security of the network and data transmission, become an urgent problem to be solved.

In the beginning of the assessment, the pain points of the data circulation safety problem were regarded. From the process of circulating the circulation of enterprise data, the original data did not leave local, and the number of secure and convenient data flow and ecology can be performed with multiple external agencies. cooperation. The impulse is committed to solving problems encountered in data security circulation and is a navigator of data circulation.

With leading privacy computing technology and innovative industry applications, the impulse online from hundreds of AI companies, successfully selected the "Intel Ai Baijia Innovation Incentive Plan" Fifth. This program is based on Intel’s comprehensive AI product portfolio and unique advantages of hardware and software synergies, joint industrial ecological partners, using 3 years, accelerating at least 100 China Excellent AI innovation enterprises.

Improvement Online is a technological innovation company focused on data intelligent interconnection solutions, which is committed to promoting data production factors in social interconnection, building trusted, safe, privacy, fairness, and efficient "data internet". At the moment of data security, the impulse online has successfully provided data privacy computing services to customers in government affairs, finance, operators, and Internet and other industries. At the same time, it also strives to achieve technical landing.

The operator industry, the impulse online is a trusted data exchange platform for an operator group, establishing a data circulation platform between the group’s branches, and has implemented practices in several provincial branches, realizing customer information inside the branch. Other systems or sharing and collaboration of marketing units. The "one thing to" "one thing" sharing mode originally revealed, optimized to the current data task approval system.

The financial industry, the impulse is online for a large commercial bank to build a privacy calculation combined modeling platform. Enter multiple external data sources by privacy calculations, integrate multi-party bills, tax, business, justice, etc., machine learning on the bank Wind control model training, which helps banks improve the accuracy of wind-control model through multi-dimensional data, while reducing the bank itself uses multi-data generated user privacy information protection compliance risks.

The government industry, the impulse online is a government affairs data operation platform to build a privacy computational government affairs data sharing platform, support the government – political sharing, government – enterprises and data open, establish a data circulation platform between government and government, government and enterprises. The platform has been practiced in several government committees and enterprises, achieving the sharing of customer information and government system between enterprises, and ensuring that the sensitive data of government affairs is neither in the premise of satisfying enterprise testing results and data use. Leaks can be shared.

In fact, the design of the data circulation scheme is not easy. It is necessary to consider privacy, security, credibility, and intelligent four aspects. Privacy calculations can solve this problem, ensure that data is "not visible" in the cooperation process, that is, all parties only The results of data calculations can be obtained without obtaining raw data, and this security feature can be argued by technical means.

Specifically, privacy computing includes a variety of different technical routes, where the mainstream is based on chip-based trusted enforcement environments, censilation-based security multi-party computing (MPC), and federated federation from artificial intelligence technology Machine study.

The trusted execution environment Tee (Trusted Execution Environment) is a secure area built by a hardwareware method on a computing platform to ensure that the code and data loaded in the secure area are protected in confidentiality and integrity. The trusted execution environment goal is to ensure that a task is executed in accordance with expected, ensuring the confidentiality, integrity of the initial state, and the confidentiality and integrity of the runtime status. At present, Intel SGX is the highest thermality and the most complete TEE scheme.

Safety multi-party calculation

Federal machine learning is the expansion of machine learning technology, which can complete a multi-party commonly involved model training in the case of all parties, and effectively help multiple agencies to solve models in meeting privacy data protection. The problem of insufficient training data. Federal machine learning technology can solve complex algorithm modeling problems, but there is a bottleneck in performance.

To construct a trusted data circulation scenario based on TEE and block chains, the impulse is proposed online, which includes data demand and data owners and both part of the role. If two parts of the character are combined, the system needs to be divided into two levels, namely the control level and execution level, and the league link provides data collaboration management services. The proposal of this program marks that the impulse online is a new step in the field of data circulation, which will force data circulation technology to land, and help the development of data privacy computing industry.

Specifically, traditional federal learning frameworks will encounter two technical problems when they actually land: First, federal learning is based on a large number of complex cryptographic algorithms to ensure the security of exact process data, compared to the plaintest machine learning framework Performance loss is above one to two orders of magnitude, which cannot meet the analysis accuracy requirements in a high model timeliness requirement. Second, the federal learning framework introduces the centralized parameter server, all parties need to summarize the calculation results of each round to the parameter server, the parameter server is the key to the trust of the whole system. The parameter server is attacked or runs certain unsafe protocols, which will result in the disclosure of sensitive data and the damage of the global model, and the trust root is urgently needed.

Intel SGX2 As the most mature TEE solution, Intel SGX2 not only provides a trusted measurement root, but also provides a high-performance secretly computing environment. Provide a pragmatic technical option for federal learning to solve the above problems.

The impulse online in this topic, realizes and tested the TEE-based federal learning framework. The overall architecture uses Intel Ice Lake / SGX2 as a resource base to deploy the impulse federal learning platform on the hardware node. The impulse online will optimize the operator based on Intel Ice Lake / SGX2 to the calculation of only 30% computational overhead. At the same time, Intel SGX nodes ensure security and privacy in data collaboration. SGX2 excellent performance performance and cross-node’s masonry calculation domain provide new ideas for federal learning security sections. Imposion Online Combined with TEE and Differential Privacy Model Protecting Process Data from Domains, the training performance increases the training performance to a quantity level compared to traditional codenic methods based on homogeneous encryption.

This issue has reached the expected design effect, and it has grown out the engineering method of complex distributed systems to TEE operation. Finally, the finalization of TEE’s federal learning performance will be a project research direction worth exploring. The subsequent impulse online will work to create a high-efficiency privacy computational solution in optimized privacy computational technical performance and Intel’s continuous cooperation.

Due to the rapid development of information technology, the continuous evolution of personalized services, the frequent cross-border, cross-system, and inter-biochemical interactions of personal information data, exacerbated privacy information intentionally or unintentionally in different information systems, The privacy information protection of privacy information, the problem of tracing of privacy violations is increasingly serious, and the existing privacy protection program has not provided systematic protection.

With the "Data Safety Law" in 2021, the data industry regulation changes, requiring data sharing under the premise of protecting data security and personal privacy, and data "can be invisible" has become an indispensable new infrastructure.

In the future, the impulse online will continue to build a professional data circulation solution, strictly protect personal and enterprise data privacy information. Under the power of Intel’s powerful confidential computing hardware, it will accelerate the problem of technical problems to help more use landing, promote the large-scale landing of data elements, and play the true value of data elements.

"Through the appointment" December 1-2 International Space Station 145.80MHz SSTV Image Transmission

Moscow Aerials SSTV event, December 1 (Wednesday) and December 2 (Thursday) International Space Station 145.80MHz SSTV Image Transmission

December 1, 2021 (Wednesday) will start using an amateur radio band from the ISS (International Space Station) to the Moscow area to send SSTV (slow scanning TV) images.

December 2 (Thursday) 20:00 to December 3 (Friday) 2:05

(Date and time may be changed according to the safety work schedule).

During this period, the International Space Station has two or three times through my country, but only some of the northern parts of my country may receive a good full SSTV signal. In other regions, the downlink signal may also be received based on the receiving facilities and location.

The experiment will be carried out as part of the "Moscow Aviation Academy" SSTV activity, commonly known as "MVI", the SSTV transmission frequency from the international space station is 145.80MHz (due to Doppler frequency shift to 5kHz), "RS0iss" "in FM mode Make a call number (there are some deviations).

Refer to the satellite through the satellite in Japan to view the path of 21 points from the relevant link below the article "Jamsat (Japanese Amateur Satellite Communications Association)", so it is a good reference to it.

During the period of operation, the international space station arrived at Jiuzhou, Okinawa and other places.

(Time from JST and Jamsat announced)

Note: Japan time is more than an hour than my country Beijing time

Although this depends on the position and antenna, "30 degrees or greater elevation" is a guidelines for receiving SSTV images.


★ December 1st, Wednesday

First see: 22: 15: 37 (310 degrees in azimuth)

End perspective: 22:26: 21 (153 degrees in azimuth)

Peak altitude: 39.8 degrees

★ Thursday, December 2

First see: 21: 28: 25 (318 degrees in azimuth)

End perspective: 21: 39: 19 (140 degrees in azimuth)

Peak elevation: 88.2 degrees

Fukuoka Prefecture, Fukuoka Prefecture

★ December 1st, Wednesday

First see: 22: 15: 08 (292 degrees in azimuth)

End Perspective: 22: 24: 30 (173 degrees in azimuth)

Peak altitude: 14.2 degrees

★ Thursday, December 2

First see: 21:27:37 (301 degrees in azimuth)

End perspective: 21: 37: 58 (159 degrees in azimuth)

Peak altitude: 25.6 degrees

Kagoshima City

★ December 1st, Wednesday

First see: 22: 15: 25 (296 degrees in azimuth)

View end: 22: 25: 08 (170 degrees in azimuth)

Peak elevation: 16.8 degrees

★ Thursday, December 2

First see: 21:27:57 (304 degrees in azimuth)

End perspective: 21: 38: 29 (156 degrees in azimuth)

Peak elevation: 31.1 degrees

Hiroshima City

★ December 1st, Wednesday

First see: 22: 15: 34 (287 degrees in azimuth)

End perspective: 22: 24: 18 (180 degrees in azimuth)

Peak altitude: 10.5 degrees

★ Thursday, December 2

First see: 21: 27: 59 (297 degrees in azimuth)

View end: 21:37: 54 (165 degrees in azimuth)

Peak elevation: 19.3 degrees

Kochi County Kochi City

★ December 1st, Wednesday

First see: 22: 15: 55 (287 degrees in azimuth)

End perspective: 22: 24: 32 (182 degrees in azimuth)

Peak elevation: 10.1 degrees

★ Thursday, December 2

First see: 21:28:20 (297 degrees in azimators)

View end: 21: 38: 11 (167 degrees in azimuth)

Peak altitude: 18.7 degrees

"Moscow Aviation Institute / National Research" is a Russian higher education institution, providing technical education and training in aviation, aerospace, rockets, and is established in 1930 in the period of the former Soviet Socialist Republic.

This time, as part of the SSTV activity carried out by the organization, an experiment will be performed using a 145.80MHz amateur radio frequency band from the International Space Station (ISS) to transmit the SSTV image mainly for the Moscow region.

The frequency used is 145.80 MHz (due to Doppler frequency shift, the deviation is approximately 5 kHz), and the SSTV signal (PD120) is placed in the FM mode and transmitted. The rails of the International Space Station are published on the Internet, as well as the convenient smartphone apps such as "International Space Station Detectors".

The SSTV signal transmitted from the International Space Station is sent from the JVC Kenwood Recent V / UHF band transceiver "TM-D710E" installed in the Russian International Space Station Service module.

Amateur radio "TM-D710E" is installed in the Russian International Space Station Service Module

How do you receive it, please see the related links below, "Let’s receive SSTV in the ISS / International Space Station with SDR # + RX-SSTV. (Plus RTL-SDR)". You can also view the latest schedule in the Related Link "ARISS-SSTV Image".

In addition, images received on the ground can be published online (image upload) and viewed in the "ARISS SSTV Gallery". Many stations have successfully received the SSTV image transmitted from the International Space Station in the past, and the received image has been uploaded to social media.


Xiao Shu is coming:

Have you ready for a few times a year, are you ready?