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China's Race for Artificial Intelligence (AI) Technology

Where is that Indian guy @Bussard Ramjet?:rofl::lol:

Chinese AI Startup TuSimple Breaks Ten Records in Autonomous-driving Technology

Oct 12, 2016, 07:00 ET

SAN DIEGO, Oct. 12, 2016 /PRNewswire/ -- TuSimple, a Chinese computer vision and artificial intelligence startup, announced that it ranked No. 1 in KITTI and Cityscapes, the most influential public leaderboard in autonomous driving.

For KITTI, TuSimple swept three records in object detection, two in object tracking and four in road segmentation. In total, TuSimple achieved world-leading results in 10 records.

KITTI/CityScapes dataset has been a popular arena for many years. Its players include many world-class research institutes, such as Baidu, Samsung, NVidia, and NEC, and top universities, such as Stanford, andUniversity of California.

An authoritative public benchmark dataset is important to evaluate the technical competence of a team. The KITTI Vision Benchmark Suite, established by Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago, is the world's first and largest benchmark for vision based autonomous driving. KITTI includes real images collected from a variety of road scenes, from urban streets to country roads to highways. Each image contains a sophisticated scenario involving, for instance, a crowded vehicle and pedestrians, with various levels of occlusion.

KITTI object detection includes vehicle, pedestrian and bicycle detection. KITTI target tracking includes vehicle and pedestrian tracking. KITTI road segmentation includes four individual scenarios, including urban unmarked, urban marked, urban multiple marked and the average of former named urban road.

TuSimple swept KITTI's nine individual tests, ranking first in the world for all of them, while other well-known institutes had previously had only one or two individual top ranks.

Cityscapes Dataset is published by Mercedes-Benz and provides a segmentation data set in anonymous driving. It is used to evaluate algorithms' performance of semantic understanding in an urban setting. Cityscapes have 50 cities with different scenes, backgrounds and seasons. It has 5,000 fine annotation images, 20,000 roughly annotation images and 30 class objects.

Cityscapes benchmark has two subsets: fine and coarse. The former provides 5,000 very detailed, pixel-level labeling and the latter provides an extra 20,000 coarse level labeling. TuSimple's algorithm triumphed under each sets of criteria.

In addition to TuSimple's success in the self-driving benchmark for KITTI and Cityscapes, TuSimple also achieved first place in facial landmark localization benchmark, 300W and AFLW by a landslide. This technique is mainly used for driver monitoring systems and positioning driver facial landmarks to detect fatigue or distracted driving.

The same technologies have been used in TuSimple's product and demo.

http://www.prnewswire.com/news-rele...-autonomous-driving-technology-300343337.html


What other AI centric companies does China has?

How does China's companies compare to US on AI?

A lot of questions, the answers to which aren't clear.
 
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So, how is the so called IT super power ranked?

eca5f90f59588cbc7bedd34e0e6eee194931c5b5a60f3958116a1d3d2b69e623.jpg
 
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Our once fabulous IT industry has gone down the gutter thanks to the Transatlantic sycophants. We are not even able to create a rival to Google, Facebook or YouTube within the EU with over 500 m potential customers. :sick:

If only we could 'elp' you in IT :rofl::rofl::rofl::rofl:
On a more serious note
I don't know why you guys don't have world class IT giants, even we have big domestic alternatives to American and Chinese It companies. Any idea where you messed things up?
 
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If only we could 'elp' you in IT :rofl::rofl::rofl::rofl:
On a more serious note
I don't know why you guys don't have world class IT giants, even we have big domestic alternatives to American and Chinese It companies. Any idea where you messed things up?

Because of the Transatlantic sycophants in politics and business who think relying on our great friend and partner on the other side of the pond can't go wrong. It's not that we don't have great IT people in Germany or the EU, we just don't have an environment to foster the startups into successful MNC.

When the IT industry stated to get into the web, we had all the rivaling companies that the US also had, but step by step, they all got crushed or bought by google and Co. The only one we have that is still very competitive is SAP, Nixdorf, Siemens etc. all have given up.
 
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I don't think we should dig too deep into AI. A self-learning and self-aware AI could spell doom for humanity. This is the same view shared by some of the brightest people on earth, including Hawking, Gates and Musk. Once we cross that technological singularity, there is no going back.
 
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I don't think we should dig too deep into AI. A self-learning and self-aware AI could spell doom for humanity. This is the same view shared by some of the brightest people on earth, including Hawking, Gates and Musk. Once we cross that technological singularity, there is no going back.

Yeah but it's gonna be like another nuclear arms race. You will know that what you are doing might have potential consequences, but you will also know that not doing will have much worse consequences. So you will do it anyway.

By the way I'm working in this field. I can clearly confirm that the most impact comes from China and US. The rest of the world combined doesn't even makes up for China or USA.
 
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Yeah but it's gonna be like another nuclear arms race. You will know that what you are doing might have potential consequences, but you will also know that not doing will have much worse consequences. So you will do it anyway.

By the way I'm working in this field. I can clearly confirm that the most impact comes from China and US. The rest of the world combined doesn't even makes up for China or USA.
wow, you AI expert?
 
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wow, you AI expert?

Can't say I'm an AI expert, I've made my MSc thesis in Machine Learning field. I've also developed a few applications mainly using Machine Learning techniques. Deep Learning is a quite new area with lots of new opportunities. As far as I can see Chinese people are doing everything they can to seize this opportunity.

Andrew Ng has a lot of contributions to Deep Learning. While everybody was championing for SVM, he was still insisting on Neural Networks and it turned out he was right.

Of course I can't forget two prodigies : Alex Keizevsky and Ilya Sutskever. They are most porbably of Russian origin. Both of them are in their early thirties right now and both of them are among inventors of Deep Learning. Hell there is even an Algorithm called Alexnet.

As far as I can see Russians have a lot of talent for mathematics but they lack the organization. Russian people are sparking in certain fields but they can't create a robust school of thought and tradition in most fields. Chinese people are very talented. Much more organized then Russians. Today they only suffer because of language barrier. Other then that, they do just fine.
 
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What other AI centric companies does China has?

How does China's companies compare to US on AI?

A lot of questions, the answers to which aren't clear.

Dude, time to learn Chinese, for English doesn't get you very far knowing about China:rofl::lol::D

懂大数据的人工智能在云栖大会上唱主角

2016-10-15

核心提示:脑补一下这样的场景:你打开家门收快递,发现敲门的不是快递小哥,而且长得很萌的机器人。这不是科幻片中的场景,这款名叫“小G”的送货机器人今年就可能出现在你家门口。在这两天举行的2016杭州·云栖大会上,很多只有在实验室才看得到的神秘人工智能纷纷亮相。而且,它们将很快进入我们的生活。

0a77a8a6506349c0b5459faa6de6af8b.jpg


脑补一下这样的场景:你打开家门收快递,发现敲门的不是快递小哥,而且长得很萌的机器人。

这不是科幻片中的场景,这款名叫“小G”的送货机器人今年就可能出现在你家门口。在这两天举行的2016杭州·云栖大会上,很多只有在实验室才看得到的神秘人工智能纷纷亮相。而且,它们将很快进入我们的生活。

会自己坐电梯会送快递上门的机器人

小G是昨天在云栖大会上首次亮相的菜鸟网络“E.T.物流实验室”开发的一个可以在陆地上行走的末端配送机器人,它身高1米左右,一次能装10-20个包裹。只要通过手机向小G发出服务需求,它便会规划最优配送路径,全自动将包裹送到指定位置,用户可通过电子扫描签收。

强大的算法让小G拥有像人类一样的思考能力,它会观察周边的复杂环境,并在系统中建立自己所看到的多维世界。走在路上,小G也能动态识别环境的变化,它不仅能识别路上的行人、车辆,还可以自己乘坐电梯,甚至能够感知到电梯的拥挤程度,不跟人抢电梯。

菜鸟小G总设计师陈俊波希望,未来小G能帮助快递员缓解末端配送压力。

除了小G,云栖大会第一天马云上台发言时,一个叫ET的人工智能,不仅可以将马云的发言实时速录,而且会模仿马云的声音,可以预测交通和天气、情感分析,甚至讲笑话。

“现在的机器人和以前的机器人有本质的区别,”阿里巴巴集团技术委员会主席王坚说,1997年电脑“深蓝”首次战胜国际象棋大师卡斯帕罗夫,是人类教机器人打败象棋手,不过在今年战胜世界冠军李世石的人工智能“阿尔法狗”,实际上是用大数据打败了李世石。

而在马云看来,过去人工智能是人类的工具,今后,人工智能将是人类的合作伙伴。

未来你的生活将被彻底数字化

大数据到底是什么?大数据和强大的计算能力,对我们未来的生活产生怎样的影响?

在昨天的云栖大会上,阿里巴巴集团CTO张建锋说:“随着数据处理能力的提升,整个世界一定会被数字化,数字化之后这个世界才更有机会被智能化。”

在张建锋看来,数字化会沿着两个围度发展,一是通过计算机视觉等技术不停地进行聚类,比如通过支付宝的扫脸识别就能确定人的身份,通过手机淘宝的拍立淘就可以了解商品详情;二是不断通过前沿技术寻找新的观察角度,例如蚂蚁金服在这次云栖大会上亮相的两项黑科技——基于虚拟模拟现实技术和现实增强技术的VR Pay和AR技术“蚂上”。

有了VR Pay之后,用户不管在购物、直播还是玩游戏,当涉及支付时,不用取下VR,而是可以通过凝视、触控、点头等交互方式直接在虚拟环境中完成支付。VR Pay研发团队的负责人说,VR Pay最快将在年内实现运用。

而数字化对于电商的影响,则是更多个性化产品和服务的出现。以一根高尔夫球杆为例,随着人工智能引擎“电商大脑”的不断进化,在不久的将来,一位高尔夫玩家在淘宝下单,就能够获得根据自己的体形、习惯等定制的专属球杆。智能球杆所沉淀的用户使用数据,又能够帮助工厂不断改善生产制造,同时还能帮助高尔夫教练更好地开展训练。

这样的场景在追求标准化的工业生产时代很难想象,但随着互联网成为基础设施、计算能力呈几何级数爆发以及所有的线下信息孤岛被打破,计算机人工智能将有能力支撑这一复杂的系统,“这正是阿里未来30年的技术布局重点。”

浙江探索“互联网+教育”新模式

9月份开学后,在浙江,一些中学的同学发现,只要有网络,就可以登录到一个学习系统,在这个系统里除了学习课程、下载资料,还可以和老师互动。

这是浙江省教育厅与阿里巴巴集团在教育云领域合作的初步成果,借助于云计算,将优质教育资源进行覆盖。也就是说,今后,农村的孩子也可以跟城里的孩子上“同一堂课”。

今年9月,浙江省教育厅发布《浙江省教育信息化“十三五”发展规划》,计划在“十三五”期间组织实施“浙江省智慧教育工程”,全面推进智慧教育,预计到2020年实现国际先进水平的教育信息化。

此外,昨天,阿里巴巴和英特尔、惠普这两个计算机巨头联合发布了YunOS BooK,它是YunOS专门为教育行业定制的全新品类,可以替代学校里的台式机和笨重的书本。

http://n.cztv.com/news/12259552.html

This is research based on numbers, not quality. Both the graphs here signify numbers.

It would have been better if we would have compared papers by their total citations.

Want to see some great great great AI products by Chinese firms? Visit this 4-day conference:

http://news.xinhuanet.com/english/photo/2016-10/13/c_135751969.htm

:coffee::D
 
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some news...

Baidu Releases AI Benchmark
http://www.eetimes.com/document.asp?doc_id=1330521

Baidu's AI system composes music

Baidu's Deep Speech system

Baidu Uses Map Searches to Predict When Crowds Will Get Out of Control
https://www.technologyreview.com/s/...-predict-when-crowds-will-get-out-of-control/

Baidu launches medical chatbot to help Chinese doctors diagnose patients
http://www.theverge.com/2016/10/11/13240434/baidu-medical-chatbot-china-melody

$1 billion Chinese Startup iCarbonX gets Funding Boost for Predictive Medicine Technology
http://www.chinatopix.com/articles/...nx-gets-funding-boost-predictive-medicine.htm

Alibaba’s AI predicts 100% of winners in Chinese TV singing contest
https://www.techinasia.com/alibaba-ai-predicts-china-reality-show

Alibaba to supply AI and data tech to Chinese deep space exploration and smart city projects
http://www.thedrum.com/news/2016/10...chinese-deep-space-exploration-and-smart-city

Audi works with Chinese technology companies to develop intelligent cars
http://www.theregister.co.uk/2016/0...nology_companies_to_develop_intelligent_cars/

Huawei's AI Research Lab
Code:
http://www.noahlab.com.hk/
5ipcZPd.jpg
 
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Yeah but it's gonna be like another nuclear arms race. You will know that what you are doing might have potential consequences, but you will also know that not doing will have much worse consequences. So you will do it anyway.

Is it only me who thinks that ever since the discovery of atomic fission, science progress became a race to the bottom of human development?

For a bit of comfort, many are willing to give up freedom till we all become slaves of a neo-feudal oligarchy.

Smart city sounds cool, but it also means 100% supervision. Cashless shopping makes shopping more comfortable, but with the data in the wrong hands or a tyrannical regime (nobody knows who will rule in the future) can used as a weapon against you, e.g. "look, he bought a sex toy at that store, although he was a single or he is a pervert with some kinky phantasy". Or, "He bought that book with forbidden thoughts", although that book was at that time legal and became illegal after the dictator came to power.
 
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Where is that Indian guy @Bussard Ramjet?:rofl::lol:

Chinese AI Startup TuSimple Breaks Ten Records in Autonomous-driving Technology

Oct 12, 2016, 07:00 ET

SAN DIEGO, Oct. 12, 2016 /PRNewswire/ -- TuSimple, a Chinese computer vision and artificial intelligence startup, announced that it ranked No. 1 in KITTI and Cityscapes, the most influential public leaderboard in autonomous driving.

For KITTI, TuSimple swept three records in object detection, two in object tracking and four in road segmentation. In total, TuSimple achieved world-leading results in 10 records.

KITTI/CityScapes dataset has been a popular arena for many years. Its players include many world-class research institutes, such as Baidu, Samsung, NVidia, and NEC, and top universities, such as Stanford, andUniversity of California.

An authoritative public benchmark dataset is important to evaluate the technical competence of a team. The KITTI Vision Benchmark Suite, established by Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago, is the world's first and largest benchmark for vision based autonomous driving. KITTI includes real images collected from a variety of road scenes, from urban streets to country roads to highways. Each image contains a sophisticated scenario involving, for instance, a crowded vehicle and pedestrians, with various levels of occlusion.

KITTI object detection includes vehicle, pedestrian and bicycle detection. KITTI target tracking includes vehicle and pedestrian tracking. KITTI road segmentation includes four individual scenarios, including urban unmarked, urban marked, urban multiple marked and the average of former named urban road.

TuSimple swept KITTI's nine individual tests, ranking first in the world for all of them, while other well-known institutes had previously had only one or two individual top ranks.

Cityscapes Dataset is published by Mercedes-Benz and provides a segmentation data set in anonymous driving. It is used to evaluate algorithms' performance of semantic understanding in an urban setting. Cityscapes have 50 cities with different scenes, backgrounds and seasons. It has 5,000 fine annotation images, 20,000 roughly annotation images and 30 class objects.

Cityscapes benchmark has two subsets: fine and coarse. The former provides 5,000 very detailed, pixel-level labeling and the latter provides an extra 20,000 coarse level labeling. TuSimple's algorithm triumphed under each sets of criteria.

In addition to TuSimple's success in the self-driving benchmark for KITTI and Cityscapes, TuSimple also achieved first place in facial landmark localization benchmark, 300W and AFLW by a landslide. This technique is mainly used for driver monitoring systems and positioning driver facial landmarks to detect fatigue or distracted driving.

The same technologies have been used in TuSimple's product and demo.

http://www.prnewswire.com/news-rele...-autonomous-driving-technology-300343337.html
Publishing research paper is one thing, publishing quality research paper is another thing, and publishing quality, innovative, and ground breaking research paper is another big thing.

While it is somewhat an indication that China is publishing good amount of research papers on AI, but we have not seen any groundbreaking products came out of China results of these.

Currently I doubt China's research on AI is at the same level and sophistication as the Americans, maybe in the future China will catch up.

US was in the lead with low quality research paper for a long time. That we can all agree.

I don't think we should dig too deep into AI. A self-learning and self-aware AI could spell doom for humanity. This is the same view shared by some of the brightest people on earth, including Hawking, Gates and Musk. Once we cross that technological singularity, there is no going back.
You been watching too many Hollywood shit . Save your money and do other things
 
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