What's new

Opinionated - China Chipping Away to Semiconductor Dominance

. .
RISC-V foundation is registered in US. There needs to be a very thorough combing and analysis of ways US can affect licensing.

Yes.
The US can alert the use of their license; however, China uses the RISC-V and develop technology on it while it's still an open-source which means US can not accuse China of stealing it. They can block that in the future, but it changes nothing at the moment as China get the instruction when it's open-source. The same with Huawei and their past license with ARM which still hold true after the black-list. They brought it in the past.
And because it's open-source with many contributors, it's not easy to prove that architecture is US-owned. This is an important one.
And finally, it's all about ingenious. If you see the way China say it, their company created technology-based on RISC-V, or compatible with it, not a clone.

He posted a legit concern... no?
 
.
You are a bad loser. Only know how to spread lies to make yourself feel good. China is much superior to India, it hurts you badly but its reality. Thanks to your good for nothing government and policy. Like how you India obey US master order to stop import Iranian oil. While China is master of its own destiny continue to import Iranian oil. You are bitter and still continue to spread lies here.

You don't seem to have even the basic bit of ability to understand comments and respond to them logically. How does this comment of yours have anything to do with what I said?

As to the issues raised by you:
  1. Yes, China is ahead of India at present, both in aggregate and per capita levels.
  2. Indian foreign policy is keeping in with India's interests. Being friendly or aligned with a particular country doesn't make someone a master or a slave. If Indians think that they their interests align with some other country, for example China, at a later date, than Indian foreign policy will change.

I don't know? Is this how most Indian behavior? Make up fake info and try to discredit competitor other than work hard and accept reality to improve itself.

That is pathetic, IMO. It just show what a inferior personality they have.

Huawei was disbarred from even being a contributor to IEEE, and standards body headquartered in the US.

I don't know how, but there may be a chance that US can put obstacles in future collaboration between RISC-V foundation and Chinese companies, and such a scenario must be studied.
 
.
China's San'an Starts Building USD2 Billion Plant for Latest LED Chips
DOU SHICONG
DATE : JUL 30 2019/SOURCE : YICAI

top.jpg

China's San'an Starts Building USD2 Billion Plant for Latest LED Chips

(Yicai Global) July 30 -- Construction work at San'an Optoelectronics' new CNY12 billion (USD1.7 billion) LED chip and epitaxial wafer manufacturing base started yesterday, reinforcing its position as the country's leading maker of light-emitting diodes, local news website Cnhubei reported.

The plant will mainly produce mini and micro LED chips, which are a new generation of LED chip technology, as well as sealed products for 4K resolution displays. Customers will include such world-renowned companies as Apple, Samsung Electronics and Huawei Technologies. It is expected to achieve annual sales revenue of CNY7.2 billion and profit of CNY1.8 billion, the Xiamen-based company said.

Covering an area of around half a square kilometer, the factory will be located in the Gedian Economic and Technology Development Zone in Ezhou, central Hubei province. It should start operation within three years and realize target capacity within four years, San'an said in a statement released in April.

Mini LEDs are an improvement on traditional LED technology and are widely used in televisions, smart phones and laptops. Micro LEDs are a new generation display technology that can be applied to the latest wearable devices, mobile phones, augmented and virtual reality products, public information shows.
 
.
Nature Cover Story | Chinese Team’s ‘Tianjic Chip’ Bridges Machine Learning and Neuroscience in Pursuit of AGI
Synced
Aug 1 · 4 min read

1*PIBvhhLDcS8HGc1XPVoHaA.jpeg

Many AI experts believe humanlike artificial general intelligence (AGI) is but a far-fetched dream, while others find their inspiration in the quest for AGI. Speaking at last November’s AI Frontiers Conference, OpenAI Founder and Research Director Ilya Sutskever said “We (OpenAI) have reviewed progress in the field over the past few years. Our conclusion is near-term AGI should be taken as a serious possibility.”

Today, respected scientific journal Nature boosted the case for AGI with a cover story on a new research paper, Towards artificial general intelligence with hybrid Tianjic chip architecture, which aims to stimulate AGI development by adopting generalized hardware platforms.

0*nRnVlnfjTyQGvjr6.png

Typically, researchers have taken one of two paths in pursuit of AGI — proceeding either via computer science or via neuroscience. Each approach however requires its own unique and incompatible platforms, and this has stalled overarching AGI research and development. With an eye on closing that gap, researchers from Tsinghua University, Beijing Lynxi Technology, Beijing Normal University, Singapore Polytechnic University and University of California Santa Barbara have introduced the Tianjic chip. The revolutionary chip can adopt various core architectures, reconfigurable building blocks and so on, to accommodate both computer-science-based machine-learning algorithms and neuroscience-oriented schemes such as brain-inspired circuits.

0*E1N6LeR8kCSSxu2v

1*RndsliH_12QrLiMeMRIcEg.png
Tianjic design

A key innovation from the research team is Tianjic’s unified function core (FCore) which combines essential building blocks for both artificial neural networks and biologically networks — axon, synapse, dendrite and soma blocks. The 28-nm chip consists of 156 FCores, containing approximately 40,000 neurons and 10 million synapses in an area of 3.8×3.8 mm2.

0*xYsAp0sKy-oO8aG4.png

Tianjic delivers an internal memory bandwidth of more than 610 gigabytes (GB) per second, and a peak performance of 1.28 tera operations per second (TOPS) per watt for running artificial neural networks. In the biologically-inspired spiking neural network mode, Tianjic achieves a peak performance of about 650 giga synaptic operations per second (GSOPS) per watt. The research team also showcased the superior performance of Tianjic compared to GPU, where the new chip achieves 1.6–100 times better throughput and 12–10000 times better power efficiency.

0*YhS2cR9k6hs9oipv.png
Chip evaluation and modeling

The research team designed a self-driving bicycle experiment to evaluate the chip’s capability for integrating multimodal information and making prompt decisions. Equipped with the Tianjic chip and IMU sensor, a camera, steering motor, driving motor, speed motor and battery, the bicycle was tasked with performing functions such as real-time object detection, tracking, voice-command recognition, riding over a speed bump, obstacle avoidance, balance control and decision making.

0*x99siUA0Y4Y-0rqD

The research team developed a variety of neural networks (CNN, CANN, SNN and MLP networks) to enable each task. The models were pretrained and programmed onto the Tianjic chip, which can process the models in parallel and enable seamless on-chip communication across different models.

In experiments, the Tianjic-powered bicycle smoothly performed all assigned tasks, signaling a huge leap towards the acceleration of AGI development.

The research team also noted that “high spatiotemporal complexity can be generated by randomly introducing new variables into the environment in real time, such as different road conditions, noises, weather factors, multiple languages, more people and so on. By exploring solutions that allow adaptation to these environmental changes, issues critical to AGI — such as generalization, robustness and autonomous learning — can be examined.”

0*zFnD_OWqIKwdSPbF.png

The research team told Chinese media they expect the Tianjic chip to be deployed in autonomous vehicles and smart robots. They have already started research on the next-generation chips and expect to close the R&D stage early next year.

Further information can be found in the paper Towards artificial general intelligence with hybrid Tianjic chip architecture.

Journalist: Tony Peng & Fangyu Cai | Editor: Michael Sarazen
 
. . . .
Unisoc 5G modem chip validated, to be made on TSMC 7nm node | DIGITimes
Cage Chao, Taipei; Willis Ke, DIGITIMES
Friday 17 May 2019

Unisoc's Ivy 510 5G modem chip has been validated for 5G NR sub-6 GHz signaling, and will be fabricated by TSMC on the 7nm node for official application in the starting year of 5G commercialization in 2019, according to Steve Chu, CEO of China-based fabless chipmaker under the Tsinghua Unigroup.

Chu said that as a chipmaker with a 20% share of the global market for handset chips, Unisoc has been well prepared to tap immense business opportunities for 5G chip solutions and pursue an even higher market share.

Though the last among major China chipmakers to release 5G chip solutions, Unisoc is sure that it will not lag behind in cashing in on the coming replacement demand for 5G smartphones as long as its first 5G modem chip supporting NR sub-6 GHz can hit the market in 2019, according Chu.

Industry sources said that following the same strategy as adopted by HiSilicon and MediaTek, Unisoc has its first 5G modem chip support only sub-6 GHz, apparently aiming to initially zero in on China's domestic market for 5G smartphones.
Unisoc to roll out 7nm 5G chip in 2020
Lena Li, Taipei; Jessie Shen, DIGITIMES
Thursday 22 August 2019

Unisoc Communications, Tsinghua Unigroup's chipmaking arm, has had its 7nm 5G baseband chip proceed to the customer validation stage, according to a media report from China.

Unisoc is aiming to release its 7nm baseband solution designed for 5G smartphones in 2020, according to 36Kr.


....

-> Unisoc to roll out 7nm 5G chip in 2020 | DIGITIMES
 
. .
I'll be impressed if China comes up with something better than Boston Dynamics.

Robot and AI are different thing. Robot could be smart with AI or just mechanical without AI.

Boston Dynamics is awesome indeed. But I am impressed by the mechanics rather than AI.

IMO, the most impressive AI achievement in recent years is AlphaGo
 
.
You don't seem to have even the basic bit of ability to understand comments and respond to them logically. How does this comment of yours have anything to do with what I said?

As to the issues raised by you:
  1. Yes, China is ahead of India at present, both in aggregate and per capita levels.
  2. Indian foreign policy is keeping in with India's interests. Being friendly or aligned with a particular country doesn't make someone a master or a slave. If Indians think that they their interests align with some other country, for example China, at a later date, than Indian foreign policy will change.



Huawei was disbarred from even being a contributor to IEEE, and standards body headquartered in the US.

I don't know how, but there may be a chance that US can put obstacles in future collaboration between RISC-V foundation and Chinese companies, and such a scenario must be studied.
Can't be anything more authoritative than this, can there?

The Iranian Oil Minister speaking in the Iranian Legislative Body!

@Han Patriot @TaiShang and all others who refused to believe.

China has totally capitulated on all fronts it seems!

You still got the cheek to reply me?

Care to explain the article below or you just admit you eat back your words to spare more embarrassment.

https://www.reuters.com/article/us-...teeth-of-u-s-sanctions-analysts-idUSKCN1UY11S
 
. . .
Back
Top Bottom