News on China's scientific and technological development.


Hendrik_2000

Brigadier
More than AI, Huawei exposed the world's first 7nm Arm server chip
2018-10-11 10:39:12


At the Huawei Connected Conference held yesterday, Huawei finally unveiled the mystery of its self-developed AI chip.

15392243779684a71b2b948



According to Xu Zhijun, president of Huawei's rotation, the two chips that Huawei launched this time are the Shengteng 910 and the Shengteng 310. These are two new products that Huawei created based on its self-developed DaVinci architecture. Among them, the Shengteng 910 is the AI chip with the highest calculation density of the current single chip. The product is built in 7nm process, the maximum power consumption is 350w, and other parameters are also superior: 256 TeraFLOPS can be achieved under half precision (FP16), and 512 TeraOPS is achieved under integer precision (INT8). The chip also supports a 128-channel full HD video decoder (H.264/265).

1539223767789497e81c1e2

Huawei Shengteng 910 Introduction

Xu Zhijun said that Huawei's Shengteng 910 also has a strong lead when compared with NVIDIA and Google's chips. The chip will arrive in Q2 in 2019, which will give Huawei a strong support for the training and logic service series in the cloud, breaking through the current market monopoly by TPU and Nvidia.


1539223767691bf302648a2

Huawei Shengteng 910 Introduction

In addition, Huawei also released the Shengteng 310. According to Xu Zhijun, Huawei's extremely efficient and low-power AI SoC is launched for edge AI. As a chip that also uses the DaVinci architecture, the Huawei Shengteng 310 is manufactured using a 12nm FFC process. In the case of half-precision (FP16), it can achieve 8 TeraFLOPS. Under integer precision (INT8), it can be done. 16 TeraOPS, which also supports 16-channel full HD video decoder - H.264/265, and its maximum power consumption is only 8W, this chip is now able to provide customers with full support.

153922376771367bcfd7713

Huawei Shengteng 310 Introduction

Huawei said that their series of AI IP and chip upgrades based on a unified and scalable architecture have five series of nano, tiny, mini, lite and max, which can provide optimal TOPS/W support across the entire scene.

In an interview, Xu Zhijun emphasized to reporters that Huawei's Shengteng chip will not be sold separately, but will be sold in the form of AI accelerator card, acceleration module, server and all-in-one. Huawei's full-stack AI strategy has also been fully complemented after its launch.

1539223767823d3c44058eb

Huawei's AI solution

In the future-oriented AI opportunities, Huawei will focus on investing in basic research, building a full-stack solution, investing in open ecology and talent development, solution enhancement and internal efficiency improvement. Specifically:

Constructing data efficient (less data requirements), energy efficient (lower computing power and energy consumption), safe and credible, auto-autonomous machine learning fundamentals in areas such as computational vision, natural language processing, and decision-making reasoning;
Create a complete, collaborative, and full-stack solution for cloud, edge and end-to-end scenarios, providing ample, cost-effective computing resources, an easy-to-use, efficient, full-process AI platform;
Globally, continue to work extensively with academia, industry and industry partners;
Introduce AI thinking and technology into existing products and services to achieve greater value and competitiveness;
Apply AI to optimize internal management, aim at massive operation scenarios, and greatly improve internal operation efficiency and quality;
The launch of these new products by Huawei has caused extensive discussion in the industry. Coincidentally, the author also saw the exposure of Huawei's Arm server chip related products from insiders.
 
now I read
China to improve management on human genetic resources
Xinhua| 2018-10-11 17:12:43
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China will set up a new set of regulations on human genetic resources to further protect its national biosafety.

The decision was announced at a forum on human genetic resources development and innovation held Wednesday in Beijing. It gathered scholars from government organizations, research institutions and universities.

Human genetic resources, which include the human genome, human organs, tissues, cells, blood, and related gene materials and information, are essential to disease research and population health.

Zhang Xinmin, director of the China National Center for Biotechnology Development, the forum organizer, said that human genetic resources have become important national strategic resources.

In 1998, China issued the Provisional Regulations on the Management of Genetic Resources, to protect and ensure the rational use of the nation's genetic resources for the well-being of human beings.

Zhang suggested the new management regulations should focus on a balance between the protection and development of such resources.

Zhou Qi, director of the Institute of Zoology under the Chinese Academy of Sciences (CAS), said that more authoritative and effective evaluation agencies should also be established to improve the resources management.

Others also suggested that better management of human genetic resources should be supported by science and technological innovation, and studies in gene and biomedicine should be strengthened.
 

nugroho

Junior Member
More than AI, Huawei exposed the world's first 7nm Arm server chip
2018-10-11 10:39:12


At the Huawei Connected Conference held yesterday, Huawei finally unveiled the mystery of its self-developed AI chip.

15392243779684a71b2b948



According to Xu Zhijun, president of Huawei's rotation, the two chips that Huawei launched this time are the Shengteng 910 and the Shengteng 310. These are two new products that Huawei created based on its self-developed DaVinci architecture. Among them, the Shengteng 910 is the AI chip with the highest calculation density of the current single chip. The product is built in 7nm process, the maximum power consumption is 350w, and other parameters are also superior: 256 TeraFLOPS can be achieved under half precision (FP16), and 512 TeraOPS is achieved under integer precision (INT8). The chip also supports a 128-channel full HD video decoder (H.264/265).

1539223767789497e81c1e2

Huawei Shengteng 910 Introduction

Xu Zhijun said that Huawei's Shengteng 910 also has a strong lead when compared with NVIDIA and Google's chips. The chip will arrive in Q2 in 2019, which will give Huawei a strong support for the training and logic service series in the cloud, breaking through the current market monopoly by TPU and Nvidia.


1539223767691bf302648a2

Huawei Shengteng 910 Introduction

In addition, Huawei also released the Shengteng 310. According to Xu Zhijun, Huawei's extremely efficient and low-power AI SoC is launched for edge AI. As a chip that also uses the DaVinci architecture, the Huawei Shengteng 310 is manufactured using a 12nm FFC process. In the case of half-precision (FP16), it can achieve 8 TeraFLOPS. Under integer precision (INT8), it can be done. 16 TeraOPS, which also supports 16-channel full HD video decoder - H.264/265, and its maximum power consumption is only 8W, this chip is now able to provide customers with full support.

153922376771367bcfd7713

Huawei Shengteng 310 Introduction

Huawei said that their series of AI IP and chip upgrades based on a unified and scalable architecture have five series of nano, tiny, mini, lite and max, which can provide optimal TOPS/W support across the entire scene.

In an interview, Xu Zhijun emphasized to reporters that Huawei's Shengteng chip will not be sold separately, but will be sold in the form of AI accelerator card, acceleration module, server and all-in-one. Huawei's full-stack AI strategy has also been fully complemented after its launch.

1539223767823d3c44058eb

Huawei's AI solution

In the future-oriented AI opportunities, Huawei will focus on investing in basic research, building a full-stack solution, investing in open ecology and talent development, solution enhancement and internal efficiency improvement. Specifically:

Constructing data efficient (less data requirements), energy efficient (lower computing power and energy consumption), safe and credible, auto-autonomous machine learning fundamentals in areas such as computational vision, natural language processing, and decision-making reasoning;
Create a complete, collaborative, and full-stack solution for cloud, edge and end-to-end scenarios, providing ample, cost-effective computing resources, an easy-to-use, efficient, full-process AI platform;
Globally, continue to work extensively with academia, industry and industry partners;
Introduce AI thinking and technology into existing products and services to achieve greater value and competitiveness;
Apply AI to optimize internal management, aim at massive operation scenarios, and greatly improve internal operation efficiency and quality;
The launch of these new products by Huawei has caused extensive discussion in the industry. Coincidentally, the author also saw the exposure of Huawei's Arm server chip related products from insiders.

But those chips are made by TSMC, right?
 

Hendrik_2000

Brigadier
Via cirr
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· Oct 12, 2018 06:02 EDT
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The Chinese tech firm, Huawei,
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a new cloud service platform for simulating a quantum computer called HiQ. The service, aside from including a quantum computing simulator, also includes a quantum programming framework in order to develop software for the simulator. The HiQ platform will be open to the public in order to enable quantum research and education in the field.

Outlining the capabilities of the platform, Huawei said that it can simulate circuits with 42-qubits for full-amplitude simulations, and 81-qubits for single amplitudes, with low-depth single-amplitude circuits being able to reach 169-qubits.

Discussing HiQ, Huawei’s Chief Quantum Computing Software and Algorithm Scientist, Dr. Man-Hong Yung, said:

“Quantum computation is a revolutionary technology that is different from classical computing. It is also a future-oriented core technology for cloud computing. Quantum algorithms provide a new perspective to AI algorithms, inspiring better classical AI algorithms and offering more powerful computing capability. Huawei has taken a critical step towards the research and innovation of quantum computing by releasing the HiQ cloud service platform, and will continue to invest in quantum computing in the future. Huawei’s HiQ will be fully open to the public, inviting developers, researchers, teachers, and students, to jointly innovate and promote technological research and industrialization of quantum computing.”

With HiQ, Huawei will be taking its initial foray into research and innovation within the realm of quantum computing. It described HiQ as a win-win cooperation between academia and industry as the prior would see technological breakthroughs, and the latter would further develop their “research and industrialisation” in quantum computing.

It'll definitely be interesting to see how academics utilise HiQ and other tools like it in the future as the world moves more towards quantum computing.

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Anlsvrthng

Senior Member
Registered Member
V


“Quantum computation is a revolutionary technology that is different from classical computing. It is also a future-oriented core technology for cloud computing. Quantum algorithms provide a new perspective to AI algorithms, inspiring better classical AI algorithms and offering more powerful computing capability. Huawei has taken a critical step towards the research and innovation of quantum computing by releasing the HiQ cloud service platform, and will continue to invest in quantum computing in the future. Huawei’s HiQ will be fully open to the public, inviting developers, researchers, teachers, and students, to jointly innovate and promote technological research and industrialization of quantum computing.”

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I love it .
Keywords:
-Quantum computing
-Cloud computing
-AI


And of course "revolutionary" "future-oriented" and industrialisation : D

All favourite buzzword checked. : D

More dead, now everyone try to get out more from the same transistor budget.
 
now I read
Interview: Human may soon detect collision of neutron stars, black holes, says gravitational-wave expert
Xinhua| 2018-10-17 11:38:43
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Laser Interferometer Gravitational-wave Observatory (LIGO) may detect gravitational waves from the collision of a neutron star and a black hole next year, said Yanbei Chen, professor of Physics at the California Institute of Technology (Caltech) and LIGO expert.

In an interview with Xinhua on Monday, Chen said LIGO is currently under commissioning, and is planned to reoperate early next year.

"The second observing run ended on Aug. 25 of last year, and the detectors are right now being commissioned and upgraded for better sensitivity. This will increase our reach into the universe," said Chen.

Gravitational waves are "ripples" of space-time curvature, just like a stone thrown into water will stir ripples. Compact objects in the universe, such as black holes and neutron stars, can generate gravitational waves as they collide.

These waves were predicted by Albert Einstein more than a hundred years ago, but took scientists years to find experimental evidence.

LIGO constructed two 4,000-meter L-shaped laser interferometers at Hanford in Washington and Livingston in Louisiana, respectively.

The detectors captured gravitational waves from the collision of two black holes on Sept. 14, 2015. This collision took place 1.3 billion light years away, and the waves took 1.3 billion years to arrive at Earth.

This discovery, announced in February 2016, was considered a major milestone in physics and astronomy.

Scientists later on announced four more gravitational-wave detections from colliding black holes.

On Aug. 17, 2017, the collision of two neutron stars was detected, both from gravitational waves and from the accompanying electromagnetic signals. This collision took place in the galaxy NGC4993 of the Hydra constellation -- a galaxy 1.3 billion light years from Earth.

Astrophysicists have also predicted that a black hole and a neutron star can collide and send out gravitational waves, possibly also electromagnetic waves, but such collisions have not yet been observed.

According to Chen, apart from commissioning the detector, LIGO scientists are still analyzing existing data for more discoveries.

"As LIGO turns on again next year, we hope to discover gravitational waves from the collision of a neutron star and a black hole," Chen said.

He said scientists are planning the next generation of gravitational-wave detectors, which they hope can achieve 30 times the sensitivity of LIGO, which will more precisely explore the space-time distortions near black holes, search for black holes that were born soon after the birth of the universe, and help scientists better understand the internal structures of neutron stars.

"We also welcome bold speculations. For example, some believe that black holes may not be completely 'black', but can instead reflect gravitational waves, and cause 'echoes'," Chen said.

Even though such speculations have encountered skepticism, discovering such echoes will definitely revolutionize fundamental physics, he added.

The LIGO Project, funded by the U.S. National Science Foundation, is built and operated jointly by Caltech and the Massachusetts Institute of Technology. Three scientists, who conceived and lead the LIGO project, were awarded the 2017 Nobel Prize in Physics.
 

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