Yann leCun is a French computer scientist. He works in the fields of computer vision, machine learning, and computational neuroscience. He is currently the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice President and Chief AI Scientist of Meta. He is also a co-founder of JEPA, and has published over 180 technical articles.
Facebook's Chief AI Scientist and Vice President
Yann LeCun is a highly skilled machine learning scientist and is currently the VP and Chief AI Scientist at Facebook. Before joining Facebook in 2013, he was a research scientist at Bell Labs. He now works as a part of the Applied Machine Learning team that integrates AI into Facebook products. LeCun is an advocate for transparency in the AI community. He publishes frequently. He is also a National Academy of Engineering Member.
Facebook's AI research laboratory has experienced a rapid growth over the past few decades. The lab now has six locations and more than 100 employees. The company announced yesterday it will double the number researchers at its Paris lab. In addition, it plans to quadruple the number of Ph.D. students in Paris.
Silver professor at New York University
Yann is a French computer scientist who has interests in machine-learning, computer vision, and computational neuroscience. He is currently the Silver Prof at New York University’s Courant Institute of Mathematical Sciences.
LeCun is a recipient of the ACM Turing Award for his engineering and conceptual breakthroughs. LeCun is also a member of The National Academy of Engineering. For Yann LeCun's speaking engagements, contact a professional speaker booking agency.
Author of over 180 technical papers
Yann LeCun (French computer scientist) works in the fields computer vision, machine learning, and computational neuroscience. He holds many academic appointments and is a Silver professor at New York University’s Courant Institute of Mathematical Sciences. His research interests are in computer vision and neural network design.
LeCun is a highly cited computer scientist, who has been working in artificial Intelligence for the past twenty years. He is credited as one of the creators of convolutional neural networks. He also co-created DjVu's image compression technology and Lush's programming language. Yann has published more 180 technical papers and has been awarded recognition for his contributions to a variety of fields.
Founder of joint embedding predictive architecture (JEPA)
JEPA is an energy-based model of AI that learns high-level representations using JEPA. This approach replaces contrastive and uses regularized techniques to extract high-level latent characteristics from inputs. It also discards irrelevant information. JEPA can thus learn to draw inferences from a high-dimensional global model.
This approach allows the alignment of multiple datasets without sacrificing any individual specificity. You can extend it to multiple datasets. This workflow is illustrated by Fig. 1A.
Geoffrey Hinton's Influence on His Work
Yann leCun is a computer science guru and VP at Facebook's AI Research Group. He also teaches in New York University. His work focuses on deep learning and convolutional neural networks. He graduated from Pierre and Marie Curie University and was a postdoctoral fellow under Geoffrey Hinton. LeCun talks about his foundational work in convolutional neural networks and his advice for anyone interested in AI.
LeCun was greatly affected by Hinton's contributions. More than thirty PhD students were his mentors. He also taught postdocs, masters and undergraduate students. Many of his students went on become pioneers in the field. Brendan Frey (Hinton's protege) completed his PhD under Hinton back in 1997. He became a prominent advocate for deep learning.
FAQ
What can you do with AI?
Two main purposes for AI are:
* Prediction - AI systems are capable of predicting future events. For example, a self-driving car can use AI to identify traffic lights and stop at red ones.
* Decision making – AI systems can make decisions on our behalf. As an example, your smartphone can recognize faces to suggest friends or make calls.
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.
There are many kinds of artificial intelligence technology available today. These include machine learning, neural networks and expert systems, genetic algorithms and fuzzy logic. Rule-based systems, case based reasoning, knowledge representation, ontology and ontology engine technologies.
There has been much debate over whether AI can understand human thoughts. Deep learning technology has allowed for the creation of programs that can do specific tasks.
Today, Google's DeepMind unit is one of the world's largest developers of AI software. Demis Hashibis, the former head at University College London's neuroscience department, established it in 2010. DeepMind was the first to create AlphaGo, which is a Go program that allows you to play against top professional players.
How will governments regulate AI
The government is already trying to regulate AI but it needs to be done better. They must make it clear that citizens can control the way their data is used. Companies shouldn't use AI to obstruct their rights.
They also need ensure that we aren’t creating an unfair environment for different types and businesses. For example, if you're a small business owner who wants to use AI to help run your business, then you should be allowed to do that without facing restrictions from other big businesses.
Is AI the only technology that is capable of competing with it?
Yes, but not yet. Many technologies have been created to solve particular problems. All of them cannot match the speed or accuracy that AI offers.
What uses is AI today?
Artificial intelligence (AI) is an umbrella term for machine learning, natural language processing, robotics, autonomous agents, neural networks, expert systems, etc. It's also known as smart machines.
Alan Turing wrote the first computer programs in 1950. He was fascinated by computers being able to think. He proposed an artificial intelligence test in his paper, "Computing Machinery and Intelligence." This test examines whether a computer can converse with a person using a computer program.
John McCarthy, in 1956, introduced artificial intelligence. In his article "Artificial Intelligence", he coined the expression "artificial Intelligence".
There are many AI-based technologies available today. Some are simple and straightforward, while others require more effort. They include voice recognition software, self-driving vehicles, and even speech recognition software.
There are two major categories of AI: rule based and statistical. Rule-based relies on logic to make decision. For example, a bank balance would be calculated as follows: If it has $10 or more, withdraw $5. If it has less than $10, deposit $1. Statistic uses statistics to make decision. For example, a weather prediction might use historical data in order to predict what the next step will be.
Statistics
- 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)
- 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)
- 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)
- 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)
External Links
How To
How to create an AI program
Basic programming skills are required in order to build an AI program. There are many programming languages to choose from, but Python is our preferred choice because of its simplicity and the abundance of online resources, like YouTube videos, courses and tutorials.
Here's an overview of how to set up the basic project 'Hello World'.
First, open a new document. This can be done using Ctrl+N (Windows) or Command+N (Macs).
Enter hello world into the box. Enter to save this file.
Press F5 to launch the program.
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.