Chelsea Finn is an American computer scientist and assistant professor at Stanford University. Her research interests revolve around artificial intelligence and robotic interaction. Her ultimate goal is for robots to be able learn on their own. She is also an active member of Google's Brain team. Here's a short overview of Finn's work, and how it fits into the world AI. Read on to learn more about her unique work!
Research interests
Chelsea Finn, a graduate at UC Berkeley's Engineering Department, and the Berkeley Artificial Intelligence Research Lab studies the inverse reinforcement techniques that allow robots to learn from observation. Her algorithms require less data than other AI training to learn to manipulate objects. Her algorithms can be taught to manipulate objects simply by watching one video of a person 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. She wanted to go into industry and create products or services. She realized, however, that she could make an even greater impact through her research as well as her teaching. Finn was impressed by MIT's efforts to increase the representation of women on its faculty. Faculty members hope to inspire younger women by increasing their gender representation. She hopes to inspire the next generation of women to study in academia.
Career
Chelsea Finn's Career is a striking example of a female worker who is not only committed to her work but also actively seeking ways to improve the field. Stanford University assistant professor is keen to understand how people learn and interact about objects. She is also working to create a mentoring program for college students from underrepresented backgrounds. Undergraduates will have the opportunity to be matched up with an AI graduate student, who will give them firsthand insight into the research and graduate school process as well as advice on where to go early in their career.
Finn, despite having a background in computer sciences, initially intended to enter the industry upon 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 from efforts to increase the representation of women in MIT. She says that faculty members wanted to be role models for young women. Her ultimate goal is for more young women to consider a career as an academic.
Robotic Control
Robot Learning Lab, Imperial College London, focuses its research on teaching robots to navigate virtual environments. By using reinforcement learning, they were able to teach bots how walk on a treadmill. Virtual agents often look fake in many videos. In a virtual world, small differences in the physical laws can cause big failures when the robot attempts to apply them. An unbalanced robot with two legs can cause balance problems.
Robots need to be able make mistakes and learn from them. Until now, most robots have to be taught the same way as a human. If the robot is able to learn on its own, this is impossible. But advances in machine learning are accelerating the pace of development. Researchers are incorporating the latest developments in artificial intelligence to improve the performance of robots in the real world. It is hoped that autonomous robots can be built that can do tasks without the assistance of humans.
Machine learning
Dr. Chelsea Finn, an assistant professor of computer science at Stanford University, recently received the ACM Doctoral Dissertation Award. Her dissertation focused on algorithms which make use of data obtained during tasks to help learn new ones. The New York Times recognized this research as well as MIT Technology Review. Her presentation is available below. Or, you can view it on YouTube. Here is a quick summary of her work. Click the title for more information about the author.
Machine learning for Chelsea Finn was created to allow robots to learn from playing with real-world objects. Finn hopes to teach the robots common sense such as how manipulate objects. Finn trains them using real-world tasks. 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 robotic assistants will eventually be able to mimic human behavior, and that this is how we learn about the world.
FAQ
What does AI mean for the workplace?
It will change how we work. It will allow us to automate repetitive tasks and allow employees to concentrate on higher-value activities.
It will enhance customer service and allow businesses to offer better products or services.
It will allow us future trends to be predicted and offer opportunities.
It will give organizations a competitive edge over their competition.
Companies that fail AI will suffer.
What is the role of AI?
To understand how AI works, you need to know some basic computing principles.
Computers store information on memory. They process information based on programs written in code. The code tells a computer what to do next.
An algorithm is a sequence of instructions that instructs the computer to do a particular task. These algorithms are usually written in code.
An algorithm can be considered a recipe. An algorithm can contain steps and ingredients. Each step is a different instruction. A step might be "add water to a pot" or "heat the pan until boiling."
Who is the current leader of the AI market?
Artificial Intelligence is a branch of computer science that studies the creation of intelligent machines capable of performing tasks normally performed by humans. It includes speech recognition and translation, visual perception, natural language process, reasoning, planning, learning and decision-making.
Today, there are many different types of artificial intelligence technologies, including machine learning, neural networks, expert systems, evolutionary computing, genetic algorithms, fuzzy logic, rule-based systems, case-based reasoning, knowledge representation and ontology engineering, and agent technology.
The question of whether AI can truly comprehend human thinking has been the subject of much debate. Deep learning has made it possible for programs to perform certain tasks well, thanks to recent advances.
Google's DeepMind unit, one of the largest developers of AI software in the world, is today. Demis Hassabis founded it in 2010, having been previously the head for neuroscience at University College London. DeepMind invented AlphaGo in 2014. This program was designed to play Go against the top professional players.
AI: Why do we use it?
Artificial intelligence refers to computer science which deals with the simulation intelligent behavior for practical purposes such as robotics, natural-language processing, game play, and so forth.
AI is also known as machine learning. It is the study and application of algorithms to help machines learn, even if they are not programmed.
Two main reasons AI is used are:
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To make our lives easier.
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To accomplish things more effectively than we could ever do them ourselves.
Self-driving cars is a good example. We don't need to pay someone else to drive us around anymore because we can use AI to do it instead.
Which countries lead the AI market and why?
China leads the global Artificial Intelligence market with more than $2 billion in revenue generated in 2018. China's AI industry is led by Baidu, Alibaba Group Holding Ltd., Tencent Holdings Ltd., Huawei Technologies Co. Ltd., and Xiaomi Technology Inc.
China's government is investing heavily in AI research and development. The Chinese government has set up several research centers dedicated to improving AI capabilities. These centers include the National Laboratory of Pattern Recognition and State Key Lab of Virtual Reality Technology and Systems.
China is home to many of the biggest companies around the globe, such as Baidu, Tencent, Tencent, Baidu, and Xiaomi. All of these companies are currently working to develop their own AI solutions.
India is another country that has made significant progress in developing AI and related technology. India's government is currently working to develop an AI ecosystem.
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 insurance, banking, healthcare, retail and telecommunications.
Statistics
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (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)
External Links
How To
How to build an AI program
You will need to be able to program to build an AI program. Many programming languages are available, but we recommend Python because it's easy to understand, and there are many free online resources like YouTube videos and courses.
Here's a quick tutorial on how to set up a basic project called 'Hello World'.
To begin, you will need to open another file. This is done by pressing Ctrl+N on Windows, and Command+N on Macs.
Then type hello world into the box. Enter to save this file.
For the program to run, press F5
The program should display Hello World!
However, this is just the beginning. If you want to make a more advanced program, check out these tutorials.