Chelsea Finn is an American computer scientist who is also an assistant professor at Stanford University. Her research interests focus on artificial intelligence via robotic interactions. One of her ultimate goals is to create robots that can learn on their own. She is also a part of Google’s Brain group. Here's a short overview of Finn's work, and how it fits into the world AI. Also, read on to find out what makes her work unique!
Research interests
Dr. Chelsea Finn, a graduate of UC Berkeley's Engineering Department and the Berkeley Artificial Intelligence Research Lab, studies the inverse reinforcement methods that enable robots to learn by observation. Her algorithms require far less data than traditional AI training to learn how to manipulate objects. Robots that run her algorithms can learn how to manipulate objects by just watching one video clip of a human manipulating them. Finn's robot assistants have been able to sort shapes by themselves. She hopes to one day create robots that can navigate through space and objects.
Finn originally didn't plan to continue her studies after she earned her PhD. Finn wanted to work for industry and help create products. She soon realized she could have a greater impact with her teaching and research. Finn was impressed by MIT’s efforts to increase women's representation in its faculty. Faculty members hope to inspire younger women by increasing their gender representation. Today, she hopes inspires future generations of women in academia to follow their dreams.
Career
The Career of Chelsea Finn is a compelling example of a female who is not only dedicated to her field but is also actively seeking to improve it. Professor at Stanford University, the Stanford University assistant professor, is fascinated by how people interact with objects. She is also actively working to develop a mentorship program for underrepresented college students. Undergraduates will be matched to an AI graduate students who will share their experiences and offer advice.
Despite her background in computer science, Finn initially planned to enter the industry after graduating from MIT. Although she initially wanted to make products in the manufacturing industry, she soon realized her passion was best served in research and teaching. She has also benefited by MIT's efforts for increasing women's representation. She said that she wanted faculty members to be role models for young girls. Her ultimate goal was to inspire even more young women in academia to pursue academic careers.
Robotic control
Robot Learning Lab is a research center at Imperial College London that focuses on teaching robots how they can walk in virtual settings. They have successfully trained bots to walk on a treadmill by using reinforcement learning. Many videos of virtual agents don't look real. When a robot attempts to use the physical laws of a virtual environment, even small deviations can result in major failures. If the robot's movements are not correct, a heavy two-legged robot could lose its balance.
Robots must be able learn from mistakes to accomplish this. Robots must be taught in the same way that humans are taught. This is impossible without a robot that can learn by itself. But machine learning and other advances are speeding up the pace. Researchers are incorporating the latest developments in artificial intelligence to improve the performance of robots in the real world. It is our goal to develop autonomous robots that can complete tasks without the need for humans.
Machine learning
Dr. Chelsea Finn, an assistant professor of computer science at Stanford University, recently received the ACM Doctoral Dissertation Award. Her dissertation dealt with algorithms that make use the data collected in tasks to discover new ones. The New York Times recognized this research as well as MIT Technology Review. Below is her presentation. You can also view it on YouTube. Here is a quick summary of her work. Click on the title to see the video and learn more about the author.
Machine learning for Chelsea Finn was designed to create robots that can learn from the real world. By training the robots using real-world tasks, Finn hopes to teach them common sense, such as how to manipulate objects. She says these robots are already learning how to manipulate objects, and one video of a toddler using a wooden shape-sorting toy shows how it learns. She believes that robot assistants will eventually mimic human behavior. This is how we learn more about the world.
FAQ
What can you do with AI?
AI serves two primary purposes.
* Prediction - AI systems can predict future events. AI systems can also be used by self-driving vehicles to detect traffic lights and make sure they stop at red ones.
* Decision making - AI systems can make decisions for us. Your phone can recognise faces and suggest friends to call.
What are the benefits of AI?
Artificial intelligence is a technology that has the potential to revolutionize how we live our daily lives. It has already revolutionized industries such as finance and healthcare. It's predicted that it will have profound effects on everything, from education to government services, by 2025.
AI is already being used to solve problems in areas such as medicine, transportation, energy, security, and manufacturing. The possibilities for AI applications will only increase as there are more of them.
It is what makes it special. It learns. Computers can learn, and they don't need any training. Computers don't need to be taught, but they can simply observe patterns and then apply the learned skills when necessary.
This ability to learn quickly is what sets AI apart from other software. Computers can process millions of pages of text per second. They can translate languages instantly and recognize faces.
It can also complete tasks faster than humans because it doesn't require human intervention. It can even outperform humans in certain situations.
A chatbot called Eugene Goostman was developed by researchers in 2017. It fooled many people into believing it was Vladimir Putin.
This proves that AI can be convincing. AI's ability to adapt is another benefit. It can be trained to perform different tasks quickly and efficiently.
This means that businesses don't have to invest huge amounts of money in expensive IT infrastructure or hire large numbers of employees.
Which industries use AI the most?
Automotive is one of the first to adopt AI. BMW AG uses AI for diagnosing car problems, Ford Motor Company uses AI for self-driving vehicles, and General Motors uses AI in order to power its autonomous vehicle fleet.
Other AI industries include banking and insurance, healthcare, retail, telecommunications and transportation, as well as utilities.
Statistics
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (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)
- 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)
- 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)
- While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
External Links
How To
How do I start using AI?
An algorithm that learns from its errors is one way to use artificial intelligence. This allows you to learn from your mistakes and improve your future decisions.
A feature that suggests words for completing a sentence could be added to a text messaging system. It would learn from past messages and suggest similar phrases for you to choose from.
The system would need to be trained first to ensure it understands what you mean when it asks you to write.
Chatbots can also be created for answering your questions. So, for example, you might want to know "What time is my flight?" The bot will tell you that the next flight leaves at 8 a.m.
Take a look at this guide to learn how to start machine learning.