Yoshua Bengio is probably someone you have heard of. He is a Canadian computer scientist who is well-known for his research on deep learning and artificial neuron networks. In fact, he's also a professor at the Department of Computer Science and Operations Research at the Universite de Montreal, and the scientific director of the Montreal Institute for Learning Algorithms. Is it his fame?
Computer Science Professor
Yoshua Benjamingio, Professor of Computer Sciences, University of Montreal is an internationally renowned expert on artificial intelligence. His contributions to deep learning and machine intelligence have earned him a 2018 A.M. Turing Award. These awards are considered to be the Nobel Prize of Computing'. Yoshua is the founder of Mila AI Institute in Quebec, as well as his academic research. He is also the Scientific Director at the IVADO lab and a Senior Fellow of CIFAR. His many awards and honors include being a Fellow of the Royal Society of Canada and being a member of the Killam Prize.
Pioneer in deep learning
Yoshua Benjamin is a Montreal-based computer scientist who pioneered deep learning. He is a cofounder at Element AI, the Montreal Institute for Learning Algorithms head, and holds a Canada Research Chair for Statistical Learning Algorithms. Bengio's most prominent contributions to deeplearning are machine translation, neural grammar models, as well as biologically inspired machinelearning.
Creator of Learning in Machines or Brains
Yoshua Benjamingio, an internationally acclaimed Canadian researcher in artificial intelligence, is a professor at University of Montreal. He also serves as Scientific Director of the Mila-IVADO labs. He has won the A.M. Turing Award, the Nobel Prize of computing, and has been named a Fellow of the Royal Society of London. He also serves as co-director of Learning in Machines and Brains at the CIFAR Institute.
Co-founder, Element AI
Element AI, which raised $151M from a range of investors including Data Collective (Intel Capital), Hanwha Asset Management (Hanwha Asset Management) and Real Ventures, closed a round in venture funding in September. The company's new funding will allow it to expand its AI solutions, and accelerate its deployment. The company is already backed by investors including the National Bank of Canada and McKinsey & Co.
Turing Award recipient
Yoshua Bengio was awarded the Turing Award earlier this year for his pioneering research on deep neural networks. He is also a professor in the University of Montreal and holds the Canada Research Chair for Statistical Learning Algorithms. Mila is a Quebec-based artificial Intelligence Institute. Bengio received the Prix Marie-Victorin from Quebec, the highest honor in applied and pure science.
FAQ
What is the latest AI invention
Deep Learning is the latest AI invention. Deep learning is an artificial intelligence technique that uses neural networks (a type of machine learning) to perform tasks such as image recognition, speech recognition, language translation, and natural language processing. Google invented it in 2012.
Google recently used deep learning to create an algorithm that can write its code. This was done with "Google Brain", a neural system that was trained using massive amounts of data taken from YouTube videos.
This allowed the system to learn how to write programs for itself.
IBM announced in 2015 the creation of a computer program which could create music. Another method of creating music is using neural networks. These are known as NNFM, or "neural music networks".
Who invented AI and why?
Alan Turing
Turing was created in 1912. His father was a priest and his mother was an RN. At school, he excelled at mathematics but became depressed after being rejected by Cambridge University. He took up chess and won several tournaments. He worked as a codebreaker in Britain's Bletchley Park, where he cracked German codes.
1954 was his death.
John McCarthy
McCarthy was conceived in 1928. Before joining MIT, he studied maths at Princeton University. He developed the LISP programming language. He had already created the foundations for modern AI by 1957.
He died in 2011.
How does AI impact the workplace
It will revolutionize the way we work. We will be able to automate routine jobs and allow employees the freedom to focus on higher value activities.
It will help improve customer service as well as assist businesses in delivering better products.
It will allow us future trends to be predicted and offer opportunities.
It will help organizations gain a competitive edge against their competitors.
Companies that fail to adopt AI will fall behind.
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)
- 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)
- 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)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
External Links
How To
How to make an AI program simple
It is necessary to learn how to code to create simple AI programs. 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 brief tutorial on how you can set up a simple project called "Hello World".
First, open a new document. This is done by pressing Ctrl+N on Windows, and Command+N on Macs.
Type hello world in the box. Enter to save your file.
Now, press F5 to run the program.
The program should display Hello World!
This is just the start. These tutorials will show you how to create more complex programs.