Andrew Ng is a British-born American technology entrepreneur and computer scientist whose work focuses primarily on machinelearning. He co-founded Baidu’s Artificial Intelligence Group with Google Brain. This group helped to create a team of over 2,000. Ng is a prolific writer and speaker who has been awarded many awards. Read on to learn more about Andrew Ng's career and research interests. Landing AI is his latest venture.
Dr. Andrew Yan-Tak Ng
Andrew Yan-Tak Ng (American computer scientist, technology entrepreneur) focuses on machine intelligence. He was the co-founder of Google's Brain and the former chief scientist at Baidu. There, he helped to build the Artificial Intelligence Group, which is now a department that employs thousands. His achievements have received numerous awards. He has had an impact on many industries, including artificial Intelligence and artificial life. CNBC recently spoke with the award-winning entrepreneur about his career in technology.
Andrew Yan-Tak Ng, a British-born American computer scientist, is one of his many accomplishments. He was the former vice president, chief scientist and chief executive officer of Baidu Research Silicon Valley. He is also an adjunct professor in Stanford University and the co-founder, Coursera, an open online education platform. His research interests include deep learning and machine learning. He has also contributed to the creation of the Stanford Autonomous Helicopter as well as ROS open-source robotics software.
His research interests include:
Andrew Ng, a Stanford University professor is focused on machine learning and artificial Intelligence. His work is interwoven with cognitive neuroscience and Natural language processing, depth perception, GRASP, Contextual image classification, and Image. Coursera, an online course platform that offers free courses on a wide variety of topics, is also co-founded by Ng. Andrew Ng's research interests are broad and he is currently involved with several projects.
His research is focused on machine learning, particularly deep learning. He is a key figure in Google's Brain Project, which produced massively scaled deeplearning algorithms. Google cat, the most notable accomplishment of the project, trained a huge neural system with over one billion parameters to recognize felines in YouTube videos. While Google's deep learning focus is predominant, Ng has current research interests in computer vision and speech recognition.
His venture Landing AI
Andrew Ng was the brain behind Google's Brain division. Now, he is leveraging his AI skills to help corporate clients via his new venture Landing AI. Landing AI was recently funded by multiple investors with $57 million. Andrew Ng, who is an adjunct professor of computer sciences at Stanford University, and the co-founder of Coursera (a popular online education platform), is also a co-founder. He is known most for his deep-learning work, particularly in cat recognition.
Landing AI, which is the first step in building an AI-product, tackles a common problem: a lack large enough training data. For AI software to be accurate and scalable developers must train neural networks with large amounts data. These data are often not available to manufacturers. Because of this, manufacturers are limited in the amount of training data they can use for their AI projects.
His career path
Andrew Ng's journey can be used to help you understand how you got there. He holds a Ph.D. and master's degrees from UC Berkeley as well as a bachelor's degree from Carnegie Mellon University. However, he remains a rising star in tech. But unlike most tech titans, Andrew Ng is not a radical disruptor. In fact, he is taking a less radical approach.
Andrew Ng graduated from Carnegie Mellon University in 2001 with a triple degree in computer science, economics, and statistics. He was then hired by Google to lead the company's research group on deep learning, facial recognition and other topics. Ng quit Baidu in March 2017 to reflect his changing career path. His team developed the course he taught at MIT, and later won Best MIT Online Course Award.
FAQ
What are some examples AI apps?
AI is being used in many different areas, such as finance, healthcare management, manufacturing and transportation. These are just a handful of examples.
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Finance – AI is already helping banks detect fraud. AI can scan millions of transactions every day and flag suspicious activity.
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Healthcare - AI is used to diagnose diseases, spot cancerous cells, and recommend treatments.
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Manufacturing - AI is used in factories to improve efficiency and reduce costs.
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Transportation - Self driving cars have been successfully tested in California. They are now being trialed across the world.
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Utilities can use AI to monitor electricity usage patterns.
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Education - AI has been used for educational purposes. For example, students can interact with robots via their smartphones.
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Government – Artificial intelligence is being used within the government to track terrorists and criminals.
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Law Enforcement-Ai is being used to assist police investigations. Detectives can search databases containing thousands of hours of CCTV footage.
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Defense - AI can both be used offensively and defensively. Offensively, AI systems can be used to hack into enemy computers. For defense purposes, AI systems can be used for cyber security to protect military bases.
What can AI be used for today?
Artificial intelligence (AI), which is also known as natural language processing, artificial agents, neural networks, expert system, etc., is an umbrella term. It is also known as smart devices.
Alan Turing, in 1950, wrote the first computer programming programs. He was interested in whether computers could think. He presented a test of artificial intelligence in his paper "Computing Machinery and Intelligence." The test tests whether a computer program can have a conversation with an actual human.
John McCarthy, who introduced artificial intelligence in 1956, coined the term "artificial Intelligence" in his article "Artificial Intelligence".
Many types of AI-based technologies are available today. Some are simple and straightforward, while others require more effort. These include voice recognition software and self-driving cars.
There are two main types of AI: rule-based AI and statistical AI. Rule-based uses logic in order to make decisions. A bank account balance could be calculated by rules such as: If the amount is $10 or greater, withdraw $5 and if it is less, deposit $1. Statistical uses statistics to make decisions. For instance, a weather forecast might look at historical data to predict what will happen next.
Who is the inventor of AI?
Alan Turing
Turing was born 1912. His mother was a nurse and his father was a minister. He was an exceptional student of mathematics, but he felt depressed after being denied by Cambridge University. He discovered chess and won several tournaments. After World War II, he was employed at Bletchley Park in Britain, where he cracked German codes.
He died in 1954.
John McCarthy
McCarthy was born 1928. He studied maths at Princeton University before joining MIT. He developed the LISP programming language. He was credited with creating the foundations for modern AI in 1957.
He died in 2011.
What's the future for AI?
Artificial intelligence (AI), the future of artificial Intelligence (AI), is not about building smarter machines than we are, but rather creating systems that learn from our experiences and improve over time.
Also, machines must learn to learn.
This would involve the creation of algorithms that could be taught to each other by using examples.
We should also consider the possibility of designing our own learning algorithms.
Most importantly, they must be able to adapt to any situation.
How does AI work?
An algorithm refers to a set of instructions that tells computers how to solve problems. An algorithm is a set of steps. Each step has an execution date. The computer executes each step sequentially until all conditions meet. This process repeats until the final result is achieved.
Let's take, for example, the square root of 5. If you wanted to find the square root of 5, you could write down every number from 1 through 10. Then calculate the square root and take the average. This is not practical so you can instead write the following formula:
sqrt(x) x^0.5
You will need to square the input and divide it by 2 before multiplying by 0.5.
This is the same way a computer works. The computer takes your input and squares it. Next, it multiplies it by 2, multiplies it by 0.5, adds 1, subtracts 1 and finally outputs the answer.
Statistics
- The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
- In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
External Links
How To
How to setup Alexa to talk when charging
Alexa, Amazon's virtual assistant, can answer questions, provide information, play music, control smart-home devices, and more. And it can even hear you while you sleep -- all without having to pick up your phone!
Alexa can answer any question you may have. Just say "Alexa", followed up by a question. She'll respond in real-time with spoken responses that are easy to understand. Alexa will improve and learn over time. You can ask Alexa questions and receive new answers everytime.
You can also control lights, thermostats or locks from other connected devices.
You can also tell Alexa to turn off the lights, adjust the temperature, check the game score, order a pizza, or even play your favorite song.
Alexa to speak while charging
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Open Alexa App. Tap Settings.
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Tap Advanced settings.
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Choose Speech Recognition
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Select Yes, always listen.
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Select Yes, you will only hear the word "wake"
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Select Yes to use a microphone.
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Select No, do not use a mic.
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Step 2. Set Up Your Voice Profile.
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You can choose a name to represent your voice and then add a description.
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Step 3. Step 3.
Use the command "Alexa" to get started.
You can use this example to show your appreciation: "Alexa! Good morning!"
Alexa will respond if she understands your question. For example, John Smith would say "Good Morning!"
Alexa will not reply if she doesn’t understand your request.
After making these changes, restart the device if needed.
Notice: If you modify the speech recognition languages, you might need to restart the device.