Latest posts of: karametade

   MATRIX AI NETWORK - A SAFER, FASTER and More FLEXIBLE INTELLIGENT BLOCKCHAIN

M A T R I X A I N E T W O R K T E A M

MATRIX’s Chief AI Scientist Steve Deng.

Prof. Steve Deng is an associative professor of School of Software, Tsinghua Univesity, where he has been a faculty member since 2008. It’s worth to note that Tsinghua University is a major research university in Beijing, China. The university has graduated numerous Chinese leaders in politics, business, academia and culture. Tsinghua University is ranked as one of the top academic institutions in China, Asia, and worldwide. Also it has been ranked as the best engineering and computer science school in the world. Steve Deng completed his ME and BE studies at Tsinghua University.
Steve Deng’s research interests include machine learning, industry data analytics, and computer architecture. Prof. Deng, since 2016, has been the Vice Principle Architect of China Railway Rollingstock Corporation’s Prognostics Health Management for High-Speed Train Project, which focuses on leveraging modern machine learning techniques to revolutionise the operation and maintenance of railway vehicles. Also, he is the author or co-author of over 50 research papers and his book, was adopted as the textbook of IC design by Tsinghua and many other universities. Deng’s work on deep learning based image detection was ranked number one in many prestigious challenges (PASCAL VOC and COCO). He received many awards, including a best paper award on International Conference on Computer Design 2013, NVIDIA partnership professor Award, and Tsinghua Key Talent Award.

https://www.nvidia.com.tw/content/apacevents/tesla/gtc2011/downloads/Opening%20Session%201335-1405%20Yangdong%20Deng.pdf

https://techbullion.com/building-the-next-ecosystem-for-ai-with-steve-deng-chief-ai-scientist-of-matrix-ai-network/

https://cryptogazette.com/a-conversation-with-dr-steve-deng-chief-ai-scientist-for-matrix-ai-network/

MATRIX AI Team Overview Part 1: Steve Deng (https://medium.com/@pukis3891/matrixs-team-overview-part-one-steve-deng-9e38add3df4a)

https://www.linkedin.com/in/yangdong-deng-9577631a/

https://dl.acm.org/profile/81453611530

MATRIX AI Network Chief Network Architect Bill Li

Prof. Bill Li is a top-level chip design expert and communications expert in China. As a main member of China’s chief engineering team, he was a major contributor of many 4G, 4,5G and 5G standards of China. It was amazing to find out that he even designed the first China’s WiFi transceiver chip. Bill Li also was one of the leading team members who worked on the communication system of China’s first aircraft carrier — Liaoning Dispatching command system. In addition, he worked on a various commercial chips for mass production and won numerous provincial and ministerial level scientific and technological awards. Bill Li is the author of book called “Communication IC Design” which won the first place in Jingdong’s sales list, as the textbook for the postgraduate chip design course of the first-class universities like Beijing. Currently this textbook is used by many other prestigious universities. Before joining the Matrix project, he was responsible for the design of Hong Kong Shangya exchange network technology architecture, data structure design and digital asset trading platform. He was carrying out data analysis on the operation of existing products to optimize various functions. Bill Li effectively contributed to the exchange with significantly increasing user experience and enhancing user’s affinity and ease of use.

MATRIX AI Team Overview Part 2: Bill Li (https://medium.com/@pukis3891/matrix-ai-team-overview-part-two-bill-li-8b8aca04e5e4)

Tim Shi — the Chief Mining and Chip Scientist

Tim Shi is the Chief Mining and Chip Scientist in Matrix AI Network project. He is one of the leading team members who are responsible for designing and developing the MATRIX mining machine, as well as the development of the next generation of artificial intelligence chips. Tim Shi got his Ph.D., degree in Chinese Academy of Sciences. His research area was Chip Design. Along with the Chinese Academy of Engineering, Academy of Sciences is an institution of China, functioning as the national scientific think tank and academic governing body, providing advisory and appraisal services on issues stemming from the national economy, social development, and science and technology progress. It is headquartered in Xicheng District, Beijing, with branch institutes all over mainland China. It has also created hundreds of commercial enterprises, Lenovo being one of the most famous. It is the world’s largest research organisation, comprising around 60,000 researchers working in 114 institutes, and has been consistently ranked among the top research organisations around the world. The Chinese Academy of Sciences was ranked the №1 research institute in the world by Nature Publishing Index 2017, by Nature Publishing Group.
Dr. Shi is a veteran of the semiconductor industry. He was the Principal System Architect at AMD and headed corporate and university technology partnerships for AMD in the China region. Dr. Shi previously held positions at several leading international IC companies such as Synopsys and ARM. He was also the Senior Chip Design Engineer at Samsung Semiconductor Inc, a subsidiary of Samsung Electronics, Ltd. in Korea. Interesting enough, Tim Shi gave a speech in the first Jiangsu Virtual Reality Development Conference, in 2017. As a Senior Manager of AMD VR, Computing Platform and Solutions, he spoke about the Future of Virtual Reality. Knowing that Virtual Reality industry is growing rapidly and the technology is definitely going to be the future, maybe we will see MATRIX AI Network blockchain contribution to VR field too? Worth a thought.

MATRIX AI Team Overview part 3: Tim Shi (https://medium.com/@pukis3891/matrix-team-overview-part-3-tim-shi-f3a477deaa80)

Owen Tao – MATRIX AI Network CEO

MATRIX CEO Owen Tao’s story about gaming and blockchain
https://matrixainetwork.medium.com/the-executive-leadership-skillset-for-value-creation-in-the-digital-economy-4824156808fd

Mr. Owen Tao, CEO of MATRIX AI Network, wears his gamer identity as a badge of honor — often mentioning it alongside his early innovations in global e-commerce and his dual-degree from Peking University. This lifelong love of gaming has proven invaluable in both leading one of the world’s most promising public blockchain projects and in unlocking new forms of value in the digital economy.
Like many of his generation, Tao, as a young man, poured all his free time into online games like Diablo and World of Warcraft (WoW). Although assets in these games were digital, they required real time and effort to produce and procure. Understanding that these game assets were given real value through group consensus, Tao clearly saw the components of a new economic network and was mesmerized by the collective creativity and productive potential of virtual communities. “With the massive convergence of talent, time and energy, I knew there was a tremendous amount of untapped value being created in these online worlds,” says Tao.
This led Tao to embark on a series of successful gaming ventures including establishing the world’s first large-scale 3D virtual community, creating the world’s first in-game advertising system and founding an award-winning gaming platform which attracted over 20M registered users to become the most popular gaming platform in Asia. His journey through the gaming landscape gave him insight into the motivations of individuals and the social interplay of competition and collaboration. The gaming world also gave him invaluable exposure to a varied worldwide network of players from diverse genders, ages, nationalities, languages and disciplines.

   Bayesian Artificial Intelligence Learning Algorithm

The MATRIX AI Network's proprietary high-performance Bayesian artificial intelligence learning algorithm can learn and generate a new category node after analyzing as few as 20 examples. This is nearly an order of magnitude more efficient than human learning. MATRIX's Bayesian artificial learning algorithm dramatically improves the efficiency of machine learning.

The MATRIX AI NETWORK’s high-performance Bayesian inference machine – or mining machine – can execute MCMC (Markov Chain Monte Carlo) algorithms more than 50x faster than I7 processors. Its manufacturing technology-independent complexity measure is equivalent to 500k GE (Gate Equivalent). It is more than 3x faster than the Titan V GPU.

Read More https://techbullion.com/a-world-class-artificial-intelligence-and-blockchain-solution-interview-with-the-ceo-of-matrix-ai-network/

   Matrix AI Network: using mining to create real world value in the field of medicine

This article provides an insight as to how Matrix AI Network is making use of Markov Chain Monte Carlo(MCMC) computing combined with artificial intelligence as a means of leveraging their mining protocol to serve beneficial for not only verifying transactions on the block chain but also using the computational power to help solve real world problems in the medicinal field.

https://medium.com/@50Satoshis/matrix-ai-network-using-mining-to-create-real-wold-value-in-the-field-of-medicine-fe8de9ccd214

The AI Miner: A Powerful Addition to the Matrix Ecosystem

On Oct. 31st 2019, Matrix was invited to a meetup hosted by Green Mining in Shanghai, where Professor Steve Deng and CEO Owen Tao shared the latest happenings of Matrix and talked about their vision of a distributed cloud platform.
They took the opportunity to introduce the Apocalypse, a mining machine equipped with the AI technology developed by Matrix Space. This marks yet another step towards building our AI-powered ecosystem.

By partnering up with Green Mining, Matrix has equipped the Apocalypse with our own AI technology. Our AI mining algorithm will enable the machine to stay power efficient and always adopt the optimal mining solution, while maintaining a good balance between mining and computing for AI.

The Apocalypse supports data mining, AI training, 3D rendering, meteorologic analysis, biological computing and clinical diagnosis. Once connected to the platform, it will start lending out extra computing power and gaining profits for doing so.
Though new to the Matrix ecosystem, the Apocalypse will play an essential role in laying the foundation for our new computing power distribution platform. By providing more computing power for the society, we are enabling people to train more practical AI models, and thereby, slowly but surely, we will bridge the gap between Week AI and Artificial General Intelligence.

   One Belt One Road Research and Development Center

They have reached an agreement with and have direct access to China’s (possibly the world’s) biggest ever infrastructure project — Belt and Road
https://mp.weixin.qq.com/s?__biz=MzU1NzYwMDMwNg==&mid=2247485930&idx=1&sn=c2c65d8a27c879c14f5c3d21ebac07b3&source=41#wechat_redirect

   This is the contract with the OBOR research center!

https://en.wikipedia.org/wiki/Belt_and_Road_Initiative

   The Hardware Bio Wallet from the Matrix AI Network. It’s cutting edge tech that scans veins, making it more secure than face or fingerprints.

   The matrix evolution – how artificial intelligence can help Blockchain realise its full potential

(https://londonlovesbusiness.com/the-matrix-evolution-how-artificial-intelligence-can-help-blockchain-realise-its-full-potential/)

In 2018, Matrix A Network launched a new public demonstration of its proprietary technology, heralding a new standard in transactional speed and efficiency. “The AI-based MATRIX platform has an ability to process more than 50,000 transactions per second — more than Bitcoin, Ethereum, Ripple, more even than PayPal and Visa! This is because of the fusion of powerful artificial intelligence and the hybrid consensus (PoW + PoS) mechanism of the MATRIX blockchain,” explained Owen Tao, CEO of MATRIX AI Network. “With the PoS-based random clustering, a small number of nodes will be chosen as delegates. The transactions are broadcast only among these delegates. In previous blockchains, transactions have to transfer to every node in a P2P network and the latency increases as the number of nodes grows. With our algorithm, the small number of nodes enables a significantly lower latency because of the reduced overhead of broadcasting a transaction.”

   Bayes.Finance exchange