Deep learning is a subfield of machine learning.Īrtificial intelligence is the capability of a machine to imitate intelligent human behavior ( Figure 1). Machine learning is a branch of artificial intelligence that gives computers the ability to learn without being programmed. Outside academia, deep learning is already being used by practicing engineers to solve a whole range of previously intractable problems and may become as valuable as Excel to chemical engineers in the future. His research uses deep learning to identify a pathway to transform a set of available reactants into a target compound (4). Lewis Professor of Chemical Engineering at MIT (3). “The vision is that you’ll be able to walk up to a system and say, ‘I want to make this molecule.’ The software will tell you the route you should make it from, and the machine will make it,” says Klavs Jensen, the Warren K. Could computers do more than mere computation and someday solve high-level problems like a chemical engineer? All of these methods and tools are applications of well-known chemical engineering principles, which the engineer combines and applies intelligently to solve high-level problems. Typically, the computational methods are numerical algorithms ( i.e., regression, statistics, differential equations, etc.) performed with software tools like Excel, MatLab, AspenPlus, CHEMCAD, COMSOL Multiphysics, etc. “Just as electricity transformed almost everything 100 years ago, I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years,” says Andrew Ng, who has held positions as Director of the Stanford AI Lab, Chief Scientist of Baidu, and Founder of Google Brain.Ĭhemical engineers routinely use computers for modeling, simulation, design, and optimization of chemical processes. From self-driving cars to lawyer-bots (2), deep learning is fueling what many believe will be the biggest technology revolution the world has seen. During the games, AlphaGo played highly inventively, making moves that no human ever would, and defeated the 18-time world champion four games to one.ĪlphaGo is an artificial intelligence (AI) program built using deep learning technologies. But in 2016, a computer program called AlphaGo defeated Lee Sedol, the legendary world champion of Go (1). ![]() In some cultures, Go is seen as a way for humans to connect with the divine via instances of intuition, by “knowing without knowing how you know.”Įxperts believed that computers would not be able to defeat top human players at Go for decades, if ever. And, unlike chess, strategies for winning Go cannot be meaningfully codified by rules: its principles are mysterious. Unlike chess, Go cannot be won using brute-force computing power to analyze a lot of moves - there are just too many possibilities. The ancient Chinese game of Go has more possible moves than the number of atoms in the universe. This article describes artificial neural networks - the algorithms that enable deep learning. Although deep learning, a branch of artificial intelligence, has become prominent only recently, it is based on concepts that are familiar to chemical engineers.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |