He points out that while combating biased AI systems is difficult, some technical solutions exist: zero’ing out label biases, using inclusive data sets representative of the population, building transparent and auditable systems, and ensuring diversity within the teams working on AI projects. To understand each of the five steps in-depth, download a free copy of the AI Transformation Playbook. This is similar in spirit to what Kai-Fu Lee suggests in his book AI Superpowers. As the brain-power behind deeplearning.ai, Landing AI and the AI Fund, he recently established new headquarters in Medellin, Colombia for these ventures.. Deeplearning.ai . He has invested a significant amount of time in thinking about how to effectively facilitate a culture of lifelong learning – that’s why he founded Coursera. For developing economies, Ng acknowledges that low-end manufacturing jobs and agricultural work will quickly be automated. Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). Some modules have optional deep dives into side-quests: like surveys of major AI techniques and application areas. The AI Transformation Playbook stresses the importance of an in-house AI team for long-term success. -Andrew Ng, Founder of AI Fund and backer of FourthBrain Artificial Intelligence and Machine Learning have the power to transform our world. Andrew Ng at MARS 2019 [Highlights] AI is the new electricity. To deal with the short-term turbulence on the labor market because of imperfect sector mobility, he recommends conditional basic income – providing a financial safety net for those who are upskilling or re-skilling to be able to effectively contribute to society. "Artificial intelligence is the new electricity." AI, Machine Learning, Deep learning, Online Education. Ng proposes a simple heuristic to judge whether or not an AI project is technically feasible: is it something that humans can do in 1 second of thought? This AI team could sit under the CTO, CIO, or CDO (Chief D… An intriguing point that’s raised is that we have more tools at our disposal for combating AI bias than we do for combating human bias. Andrew Ng. You’re now significantly ahead of many large companies’ CEOs in your understanding of AI and your ability to plan for the rise of AI.”. Written by. He has helped two of the world’s leading technology companies in their “AI transformation”: He was Chief Scientist at Baidu, where he led the company’s ~1300 person AI Group and was responsible for driving the company’s global AI strategy and infrastructure. For example, look at an image of a car and tell how far away it is – a crucial task in self-driving vehicles. Empowering companies to jumpstart AI and generate real-world value, Landing AI Named an April 2020 Cool Vendor in the Gartner Cool Vendors in AI Core Technologies, Landing AI awarded best practices in Enabling technology Leadership in the global AI-powered vision inspection industry, Landing AI launches new visual inspection platform for manufacturers, Landing AI launches product inspection platform for manufacturers, Landing AI Unveils AI Visual Inspection Platform to Improve Quality and Reduce Costs for Manufacturers Worldwide, AI Adoption Hitting Barriers? People want to use artificial intelligence as a lever to boost their career success and create more value in the world. Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock. The barrier to entry and weak incentives may create enough friction to discourage people from building powerful adversarial tools. Practically speaking, AI For Everyone is a 7-hour video course with a multiple-choice quiz at the end of each module allowing you to test your knowledge. This requires you to become a lifelong learner, and to equip the mindset that you’re working with AI, not against it. Landing AI is helping companies generate real AI value while transforming the way companies think about the future. Professor Andrew Ng is the former chief scientist at Baidu, where he led the company's Artificial Intelligence Group. - Andrew Ng, Stanford Adjunct Professor Take advantage of the opportunity to virtually step into the classrooms of Stanford professors like Andrew Ng who are leading the Artificial Intelligence revolution. On labor impacts, Ng quickly points out McKinsey’s study predicting that by 2030, more jobs will be created than lost to AI by 2030. Here’s the series of steps that all machine learning projects go through: First, you gather data. The selection of topics covered within each module are tangible: the principles are clear, the examples are concrete, and he doesn’t shy away from simplifying ideas to effectively communicate them. Data is information that can be presented in structured formats (think spreadsheets) or unstructured formats like audio, video, and text. But this is from the man that coined the phrase “AI is the new electricity”, in his talk at Stanford’s Graduate School of Business. Then you train the algorithm using the data you collected. He is interested in the analysis of such algorithms and the development of new learning methods for novel applications. In addition to the lectures and programming assignments, you will also watch exclusive interviews with many Deep Learning leaders. Platform- Coursera. And data can also be used for data science – distinct from machine learning and primarily used to uncover insights to improve decision-making. While outsourcing can offer greater initial momentum, keeping the work in-house can boost efficiency and provide unique competitive advantages. Founded by Dr. Andrew Ng, co-founder of Coursera, former chief scientist of Baidu, and founding lead of Google Brain, the team at Landing AI is uniquely positioned to help companies across the globe successfully move their AI projects from proof-of-concept to full-scale production. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-01), 2001. Later on, he moved to Singapore along with his family and graduated from Raffles Institution in the year 1992. This requires diligent research before jumping into a project – it’s better to spend a few hours thinking about whether something’s worth pursuing, than to spend 100 hours building something that isn’t possible or useful for anyone. Data science is slightly different: you gather data, extract important insights, and then create a report that can help a business leader improve their managerial decision-making. As Andrew says himself in the course, “The topic of AI and Ethics deserves its own 4 week or much longer course”. Defining humanity's place in a world of algorithms. Download Dr. Andrew Ng’s Transformation Playbook now. At the end of every AI event this year, a common question from audiences has been “What can I do to get into AI”? The truth is, nobody had done the hard work of deconstructing AI and carefully curating the small handful of AI mental models that beginners need to master — at least, until Andrew Ng and his team at deeplearning.ai created their new course AI for Everyone on Coursera. So … At least this is what Andrew Ng claims. Then they can strive towards work that contributes more to the economy and that has uniquely human requirements. Finally, you deploy the algorithm in the real world to learn more so you can improve it again. Right now, AI is limited to our smartphones and smart speakers but soon enough, it will be injected into everything we interact with. How Are We Different? “In the AI era, a key moment for many companies will again be the formation of a centralized AI team that can help the whole company. Those are Ng’s parting remarks at the conclusion of the course. He has also specifically invested time in doing AI education right – that’s why his Machine Learning course on Coursera (offered by Stanford) has a 4.9 star rating, and more than 24 000 reviews. With it you can make a computer see, synthesize novel art, translate languages, render a medical diagnosis, or build pieces of a car that can drive itself. He is focusing on machine learning and AI. He founded the Google Brain project, served as Chief Scientist at Baidu, and co-founded the online learning platform, Coursera. The British-born computer scientist, Andrew Ng, is a leading thinker on artificial intelligence (AI) and has been a pioneer in its application for many years. As Andrew Ng, adjunct professor at Stanford, describes it, “AI is the next electricity, and there is no going back.” Just as electricity has changed many industries since it was introduced, so will AI. What if you could collect, manage, display, and continuously iterate on your data within one integrated platform? Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a British-born American businessman, computer scientist, investor, and writer. He also touches on the weaknesses of AI in its current state: it’s data-hungry and doesn’t work well in complex tasks requiring integration of information across different domains. He has dual nationality (i.e., American and Chinese) while his ethnicity is Asian. Their strongest tools here will be: leveraging leapfrog opportunities (like China did with mobile payments), focusing on AI to amplify the economy’s uniquely powerful industry verticals (instead of competing with Google), and working with the public sector to invest in a more educated citizen base. Andrew Ng. Andrew deeply understands that, because of his deep involvement within the industry at Google Brain, Baidu, and deeplearning.ai. Ng explains that AI will be creating additional $13T of value per year by 2030, and will transform every sector in the economy – we’d better pay attention. Ng details several case studies including smart speakers and self-driving cars: he does a live breakdown of what the project would entail and where machine learning would fit. One of the company’s core products is LandingLens, an end-to-end AI platform specifically designed for industrial customers to build and effectively deploy AI visual inspection solutions. Ng, who is chief scientist at Baidu Research and teaches at Stanford, spoke to the Stanford Graduate School of Business community as part of a series presented by the Stanford MSx Program. Deep Learning is a superpower. By Catherine Jewell, Publications Division, WIPO. Instructors- Andrew … Rating- 4.8. External mentions and content,  In-house content, Creative Commons Attribution 4.0 International License. Specific examples of each are provided in the course. deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link - robbertliu/deeplearning.ai-andrewNG Here he discusses why AI gets a bad reputation, what reputation it actually deserves, and how we need to rethink our education system to prepare. It’s a bold statement — to suggest that a 7 hour course will leave you more knowledgeable about AI than most CEOs. Founded by Dr. Andrew Ng, co-founder of Coursera, former chief scientist of Baidu, and founding lead of Google Brain, the team at Landing AI is uniquely positioned to help companies across the globe successfully move their AI projects from proof-of-concept to full-scale production. Make an impact with a career that has grown 74% annually for the past 4 years according to LinkedIn , and shows no signs of slowing down. Note that you don’t have to quit your job and learn to code AI to have a job in the future. Offered by –Deeplearning.ai. 35x Growth in AI jobs. His parents are Hong Kong immigrants and he spent most of his early days in Hong Kong. This leads into Ng’s famous AI Transformation Playbook – a recipe for startups and large companies alike to level up with AI. The biggest issues he outlines are: discrimination, adversarial attacks on AI systems, adverse uses of AI, impacts on developing economies, and sector mobility within the labor market. Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. The more data you have at your disposal, the more powerful the algorithms will become. A guiding principle he provides is “think about automating tasks, not jobs” – the strongest value-add for AI right now is automating routine tasks to free up people to work on tasks that require strategy, creativity, and social skills. Andrew Ng, the course instructor, refers to AI as the new electricity. The reason that he can make that statement confidently is because of the work he and his team have put in. It’s an answer that’s vague, but probably familiar to you. Andrew Y. Ng (sinh ngày 18 tháng 4 năm 1976, tiếng Trung: 吳恩達, Ngô Ân Đạt) là trưởng khoa học gia tại Baidu Research ở Thung lũng Silicon.Ngoài ra, ông còn là giáo sư thỉnh giảng tại khoa Khoa học máy tính và khoa Kỹ thuật điện tại đại học Stanford University. Module 3: Building AI in your Company Ng details several case studies including smart speakers and self-driving cars: he does a live breakdown of what the project would entail and where machine learning would fit. The Baidu, Google Brain, and Stanford researcher on his new ventures—Landing AI, deeplearning.ai, and AI Fund—and the future of work. The skyrocketing number of research paper published and the exponential growth of the AI community. They will share with you their personal stories and give you career advice. The Deep Learning Specialization was created and is taught by Dr. Andrew Ng, a global leader in AI and co-founder of Coursera. Therefore, it is important for individuals and businesses to understand this powerful technology, to ask the right questions, and to make the right tradeoffs. AI for everyone is a non technical course taking which you will have greater knowledge than most CEO’s in the world. Drive.ai was established in 2015 through Stanford University 's Artificial Intelligence Lab by a group of masters and PhD students from Andrew Ng 's research lab. “Congratulations on finishing this course. Contxto – Andrew Ng is a Chinese-American computer science professor at Standford encouraging businesses to adopt AI solutions over their platforms. Artificial intelligence: the new electricity. — Andrew Ng. The company was seed funded by Carol Reiley for an undisclosed amount. [ps, pdf] Stable algorithms for link analysis, Andrew Y. Ng, Alice X. Zheng and Michael Jordan. Link analysis, eigenvectors, and stability, Andrew Y. Ng, Alice X. Zheng and Michael Jordan. Society works better when there is less fraud, for example, because of lowered transaction costs and information asymmetries. All rights reserved 2020. 35x increment in AI jobs since the past 2 years. The reason for the surge in artificial intelligence is due to relatively recent advances in deep learning – a subset of machine learning that uses multiple layers of interconnected “neurons” (inspired by how brains work) to create outputs in much more sophisticated ways than what was previously feasible. His skepticism of universal basic income is rooted in the incentive structure: giving everyone enough money to survive can undermine their desire to do meaningful work. Landing AI empowers customers to harness the business value of AI by providing enablement tools and transformation programs. After his tenure as chief scientist at Baidu, Andrew Ng, the founder of the Google Brain project and former CEO of Coursera, set up a number of different projects that … If that isn’t a superpower, I don’t know what is. AI is the new electricity. Up until now, our best answer has been “read everything you can, and discuss your strongest ideas at AI-related meetups”. Andrew Ng. In the same vein, we commend the accessibility to the course through Coursera’s financial aid for those who need it – it truly is AI For Everyone. … Andrew Ng was born Andrew Yan-Tak Ng on April 18, 1976, in London, United Kingdom. Check out LandingLens, a visual inspection platform purpose-built for manufacturers. Founded by Dr. Andrew Ng, co-founder of Coursera, former chief scientist of Baidu, and founding lead of Google Brain, the team at Landing AI is uniquely positioned to help companies across the globe successfully move their AI projects from proof-of-concept to full-scale production. Industries already transforming with Landing AI: Prepare your enterprise for the AI era. A discussion of a technology that can disrupt industries, change judicial decisions, and decide whether or not someone gets a bank loan, is incomplete without talking about ethics. After that, he joined Carnegie Mellon University in Pittsburgh, Pennsylvania from where he graduated with a triple maj… As such, not many resources will go into building tools that enable fraud. There are 4 modules: Below is a high-level preview of each module: use it as a pre-read to prep for the course, or to decide whether you want to do it in the first place. Landing AI collaborates with companies to understand where, why, when, and how to integrate AI to achieve maximum productivity, profitability, and overall business value. Any worthy AI project should be at the intersection of what’s technically feasible, and what brings value to the business or society. June 2019. The truth is that Ng is uniquely qualified to create this AI 101 course. While adversarial attacks on AI are inevitable, Ng predicts that this arms race is a different one from those we’ve seen before because most of the economic resources in AI right now are being used to build tools deemed useful by society. And that expertise shows in the organization and presentation of the content within the course. For example, when explaining how deep learning is used for facial recognition, he used visuals to intuitively describe how each layer of a neural network is responsible for detecting increasingly complex patterns: edges in the first, parts of a face in the second, and face shapes in the third. © MONTREAL AI ETHICS INSTITUTE. Ng recommends doing work at the intersection of AI and your existing unique strengths (whether that’s medicine, law, or communications) – this gives you a unique lens on the world that will prove immensely valuable to employers and society. AI Fund works intensively with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. Andrew’s Ng’s “Virtuous Cycle of AI”, illustrated. Andrew Ng's research is in machine learning and in statistical AI algorithms for data mining, pattern recognition, and control. Ng also touches on the important Venn diagram you need to think about when strategizing about which AI project you want to build. — Andrew Ng, Founder of deeplearning.ai and Coursera It’s quite refreshing to see Andrew Ng take the reins and lead by example by dedicating 25% of the course towards discussing the societal implications of AI, including AI ethics – something that’s notably missing from most AI curriculums. The group initially worked to develop a retrofit kit to add their autonomous driving system to existing cars. Founded by Andrew Ng, DeepLearning.AI is an education technology company that develops a global community of AI talent. Here’s How to Get to the Next Level. Ông … At the heart of AI implementation right now is machine learning – having a system learn A-B mappings using data: in other words, taking in data and outputting a result. AI for Everyone. Of steps that all machine learning and in statistical AI algorithms for science... 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