Andrew Ng. 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. 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. All rights reserved 2020. As Andrew says himself in the course, “The topic of AI and Ethics deserves its own 4 week or much longer course”. 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. External mentions and content, In-house content, Creative Commons Attribution 4.0 International License. The group initially worked to develop a retrofit kit to add their autonomous driving system to existing cars. 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. What if you could collect, manage, display, and continuously iterate on your data within one integrated platform? 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. While outsourcing can offer greater initial momentum, keeping the work in-house can boost efficiency and provide unique competitive advantages. Platform- Coursera. Specific examples of each are provided in the course. In addition to the lectures and programming assignments, you will also watch exclusive interviews with many Deep Learning leaders. His parents are Hong Kong immigrants and he spent most of his early days in Hong Kong. Download Dr. Andrew Ng’s Transformation Playbook now. He is interested in the analysis of such algorithms and the development of new learning methods for novel applications. © MONTREAL AI ETHICS INSTITUTE. 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. -Andrew Ng, Founder of AI Fund and backer of FourthBrain Artificial Intelligence and Machine Learning have the power to transform our world. Society works better when there is less fraud, for example, because of lowered transaction costs and information asymmetries. Andrew Ng was born Andrew Yan-Tak Ng on April 18, 1976, in London, United Kingdom. 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.”. - 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. Those are Ng’s parting remarks at the conclusion of the course. 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. Offered by –Deeplearning.ai. 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. They will share with you their personal stories and give you career advice. Landing AI collaborates with companies to understand where, why, when, and how to integrate AI to achieve maximum productivity, profitability, and overall business value. Artificial intelligence: the new electricity. Later on, he moved to Singapore along with his family and graduated from Raffles Institution in the year 1992. AI, Machine Learning, Deep learning, Online Education. The company was seed funded by Carol Reiley for an undisclosed amount. If that isn’t a superpower, I don’t know what is. Founded by Andrew Ng, DeepLearning.AI is an education technology company that develops a global community of AI talent. Then you train the algorithm using the data you collected. For example, look at an image of a car and tell how far away it is – a crucial task in self-driving vehicles. June 2019. Ông … 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. 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. Then they can strive towards work that contributes more to the economy and that has uniquely human requirements. — Andrew Ng. Andrew Ng. 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. Contxto – Andrew Ng is a Chinese-American computer science professor at Standford encouraging businesses to adopt AI solutions over their platforms. 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. 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? 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. 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. The Deep Learning Specialization was created and is taught by Dr. Andrew Ng, a global leader in AI and co-founder of Coursera. 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. 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 Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a British-born American businessman, computer scientist, investor, and writer. At the end of every AI event this year, a common question from audiences has been “What can I do to get into AI”? 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. AI Fund works intensively with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. How Are We Different? 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. Landing AI empowers customers to harness the business value of AI by providing enablement tools and transformation programs. 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. 35x increment in AI jobs since the past 2 years. Up until now, our best answer has been “read everything you can, and discuss your strongest ideas at AI-related meetups”. He founded the Google Brain project, served as Chief Scientist at Baidu, and co-founded the online learning platform, Coursera. For developing economies, Ng acknowledges that low-end manufacturing jobs and agricultural work will quickly be automated. As such, not many resources will go into building tools that enable fraud. The reason that he can make that statement confidently is because of the work he and his team have put in. 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. 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. The skyrocketing number of research paper published and the exponential growth of the AI community. Finally, you deploy the algorithm in the real world to learn more so you can improve it again. This AI team could sit under the CTO, CIO, or CDO (Chief D… 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. Here’s How to Get to the Next Level. Andrew Ng's research is in machine learning and in statistical AI algorithms for data mining, pattern recognition, and control. Deep Learning is a superpower. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-01), 2001. 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 … 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. 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. 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. Any worthy AI project should be at the intersection of what’s technically feasible, and what brings value to the business or society. 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. 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. AI for everyone is a non technical course taking which you will have greater knowledge than most CEO’s in the world. This is similar in spirit to what Kai-Fu Lee suggests in his book AI Superpowers. 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. 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. Written by. 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. 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. 35x Growth in AI jobs. He is focusing on machine learning and AI. Rating- 4.8. 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. This leads into Ng’s famous AI Transformation Playbook – a recipe for startups and large companies alike to level up with AI. This requires you to become a lifelong learner, and to equip the mindset that you’re working with AI, not against it. Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). The barrier to entry and weak incentives may create enough friction to discourage people from building powerful adversarial tools. After that, he joined Carnegie Mellon University in Pittsburgh, Pennsylvania from where he graduated with a triple maj… Industries already transforming with Landing AI: Prepare your enterprise for the AI era. “Congratulations on finishing this course. Andrew Ng, the course instructor, refers to AI as the new electricity. [ps, pdf] Stable algorithms for link analysis, Andrew Y. Ng, Alice X. Zheng and Michael Jordan. "Artificial intelligence is the new electricity." 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. It’s a bold statement — to suggest that a 7 hour course will leave you more knowledgeable about AI than most CEOs. 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. Right now, AI is limited to our smartphones and smart speakers but soon enough, it will be injected into everything we interact with. Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. AI is the new electricity. 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. The more data you have at your disposal, the more powerful the algorithms will become. He has dual nationality (i.e., American and Chinese) while his ethnicity is Asian. Andrew Ng at MARS 2019 [Highlights] AI is the new electricity. 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. Andrew’s Ng’s “Virtuous Cycle of AI”, illustrated. 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. 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. — Andrew Ng, Founder of deeplearning.ai and Coursera 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. Check out LandingLens, a visual inspection platform purpose-built for manufacturers. … Some modules have optional deep dives into side-quests: like surveys of major AI techniques and application areas. Here’s the series of steps that all machine learning projects go through: First, you gather data. At least this is what Andrew Ng claims. The Baidu, Google Brain, and Stanford researcher on his new ventures—Landing AI, deeplearning.ai, and AI Fund—and the future of work. 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 . 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? 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. AI for Everyone. Data is information that can be presented in structured formats (think spreadsheets) or unstructured formats like audio, video, and text. 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. 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