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Computer vision, Neural network, Pattern recognition, Machine learning, Artificial neural network, Artificial intelligence
Neuro-symbolic AI emerges as powerful new approach
Neuro-symbolic AI refers to an artificial intelligence that unifies deep learning and symbolic reasoning. Read about efforts from the likes of IBM, Google, New York University, MIT CSAIL and Harvard to realize this important milestone in the evolution of AI.
Neuro-symbolic AI emerges as powerful new approach
Neuro-symbolic AI refers to an artificial intelligence that unifies deep learning and symbolic reasoning. Read about efforts from the likes of IBM, Google, New York University, MIT CSAIL ...
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Neuro-symbolic AI seen as evolution of artificial intelligence
Neuro-symbolic AI refers to an artificial intelligence that unifies deep learning and symbolic reasoning. Read about efforts from the likes of IBM, Google, New York University, MIT CSAIL ...
Hybrid AI systems are quietly solving the problems of deep learning
Deep learning, the main innovation that has renewed interest in artificial intelligence in the past years, has helped solve many critical problems in computer vision, natural language ...
The case for hybrid artificial intelligence
Cognitive scientist Gary Marcus argues why hybrid artificial intelligence, the combination of neural networks and symbol manipulation, can create robust AI.
21 Best Machine Learning Books of All Time
Topics discussed in the book: Deep neural networks Training models, including decision trees, random forests, support vector machines, and ensemble methods Training neural nets Linear ...
20 Best Machine Learning Books for Beginner & Experts in 2020
Pick from 20 best machine learning books to step into the world of machine learning and AI.
Is Deep Learning Too Superficial?
Deep learning has been broadly acclaimed for its advanced pattern recognition abilities that are primed for working with data at scale. But is it effective?
Revisiting the rise of A.I.: How far has artificial intelligence come since 2010?
In terms of the number and scale of its success stories, the 2010s have a good claim for being the greatest 10 years in the history of artificial intelligence. What were the biggest ...
“Brittle, Greedy, Opaque, and Shallow”: The Promise and Limits of Today’s Artificial Intelligence
A Conversation with Rodney Brooks and Gary Marcus
How neuro-symbolic AI might finally make machines reason like humans
It combines the raw processing power of neural networks with human-like concept recognition.
Salesforce Research: Knowledge graphs and machine learning to power Einstein
Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification. Advancing the state of the art in natural language processing is done on ...
Awesome Artificial Intelligence (AI)
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers. - GitHub - owainlewis/awesome-artificial-intelligence: A curated list of Artificial Intelligence ...
A Quick Guide to Artificial Intelligence (AI)
Artificial intelligence is the science of simulating human intelligence by machines. AI deals with the recreation of the human thought process.
Artificial intelligence
Part of a series on Artificial intelligence show Major goals show Approaches show Philosophy show History show Technology show Glossary v t e Part of a series on Machine learning and data ...
What is AI? Everything you need to know about Artificial Intelligence
AlexNet’s performance demonstrated the power of learning systems based on neural networks, a model for machine learning that had existed for decades but that was finally realising its ...