Yoshua Bengio is a Canadian computer scientist. He's a Canadian computer scientist, noted for his work on deep learning and artificial neural networks. He's actually a professor at the Department of Computer Science and Operations Research of the Universite de Montreal and is the scientific director of Montreal Institute for Learning Algorithms. But what is it that makes him so famous?
Computer Science Professor
Yoshua Benjamingio, Professor of Computer Sciences, University of Montreal is an internationally renowned expert on artificial intelligence. His breakthroughs in deep learning and machine learning have won him the 2018 A.M. Turing Award, 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 a Senior Fellow in CIFAR and Scientific Director of IVADO. His numerous honors and awards include being a Fellow of Canada's Royal Society and the Killam Prize.
Pioneer in deep learning
Yoshua Bengio is a Montreal-based computer scientist and pioneer of deep learning. He is a cofounder of Element AI and the Montreal Institute for Learning Algorithms. He also holds a Canada Research Chair for Statistical Learning Algorithms. Bengio's most notable contributions to deeplearning include machine translation, neural languages models, and biologically inspired machine-learning.
Creator of Learning in Machines and Brains
A Canadian renowned artificial intelligence researcher, Yoshua Bengio is a professor at the University of Montreal and the Scientific Director of the Mila and 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 is also co-director at the CIFAR Institute of Learning in Machines and Brains.
Co-founder at Element AI
Element AI secured $151M in venture funding from a variety of investors, including Data Collective, Hanwha Asset Management, Intel Capital, Data Collective, Real Ventures. The new funding will allow Element AI to expand its AI solution portfolio and accelerate the deployment. McKinsey & Co. are among the investors that have supported the company.
Turing Award recipient
Earlier this year, Yoshua Bengio won the Turing Award for his groundbreaking 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
AI: Is it good or evil?
AI can be viewed both positively and negatively. Positively, AI makes things easier than ever. It is no longer necessary to spend hours creating programs that do tasks like word processing or spreadsheets. Instead, instead we ask our computers how to do these tasks.
On the other side, many fear that AI could eventually replace humans. Many believe robots will one day surpass their creators in intelligence. This could lead to robots taking over jobs.
How does AI work
An artificial neural network consists of many simple processors named neurons. Each neuron receives inputs form other neurons and uses mathematical operations to interpret them.
Layers are how neurons are organized. Each layer serves a different purpose. The first layer receives raw data like sounds, images, etc. These data are passed to the next layer. The next layer then processes them further. Finally, the last layer produces an output.
Each neuron has its own weighting value. This value gets multiplied by new input and then added to the sum weighted of all previous values. If the result is greater than zero, then the neuron fires. It sends a signal to the next neuron telling them what to do.
This is repeated until the network ends. The final results will be obtained.
How does AI work
An algorithm refers to a set of instructions that tells computers how to solve problems. An algorithm can be expressed as a series of steps. Each step has a condition that determines when it should execute. A computer executes each instructions sequentially until all conditions can be met. This continues until the final result has been achieved.
Let's say, for instance, you want to find 5. You could write down every single number between 1 and 10, calculate the square root for each one, and then take the average. That's not really practical, though, so instead, you could write down the following formula:
sqrt(x) x^0.5
This is how to square the input, then divide it by 2 and multiply by 0.5.
The same principle is followed by a computer. It takes your input, squares it, divides by 2, multiplies by 0.5, adds 1, subtracts 1, and finally outputs the answer.
What uses is AI today?
Artificial intelligence (AI), which is also known as natural language processing, artificial agents, neural networks, expert system, etc., is an umbrella term. It's also called smart machines.
Alan Turing created the first computer program in 1950. He was fascinated by computers being able to think. He proposed an artificial intelligence test in his paper, "Computing Machinery and Intelligence." The test seeks to determine if a computer programme can communicate with a human.
John McCarthy, who introduced artificial intelligence in 1956, coined the term "artificial Intelligence" in his article "Artificial Intelligence".
Many AI-based technologies exist today. Some are very simple and easy to use. Others are more complex. These include voice recognition software and self-driving cars.
There are two major categories of AI: rule based and statistical. Rule-based uses logic in order to make decisions. 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. Statistics is the use of statistics to make decisions. For instance, a weather forecast might look at historical data to predict what will happen next.
Statistics
- 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)
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (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)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- 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 Setup Google Home
Google Home is an artificial intelligence-powered digital assistant. It uses natural language processors and advanced algorithms to answer all your questions. Google Assistant allows you to do everything, from searching the internet to setting timers to creating reminders. These reminders will then be sent directly to your smartphone.
Google Home can be integrated seamlessly with Android phones. You can connect an iPhone or iPad over WiFi to a Google Home and take advantage of Apple Pay, Siri Shortcuts and other third-party apps optimized for Google Home.
Google Home has many useful features, just like any other Google product. For example, it will learn your routines and remember what you tell it to do. You don't have to tell it how to adjust the temperature or turn on the lights when you get up in the morning. Instead, you can just say "Hey Google", and tell it what you want done.
These are the steps you need to follow in order to set up Google Home.
-
Turn on your Google Home.
-
Hold the Action button at the top of your Google Home.
-
The Setup Wizard appears.
-
Click Continue
-
Enter your email and password.
-
Select Sign In.
-
Your Google Home is now ready to be