Hi everyone!
EHF Director in AI and ML Eray Ozkural:
What is Artificial Intelligence and Machine Learning?
AI is making computers perform tasks that require intelligence, such as solving a math problem, or understanding a piece of text. There are many definitions of intelligence in the AI literature. Thinking or acting like human, or thinking or acting rationally, like Mr. Spock. AI spans the whole gamut of our mental faculties such as learning, perception, reasoning, planning, reflecting, language and behavior. There are many approaches in AI, such as symbolic, logical, Bayesian, neural, and evolutionary. On the other hand, machine learning is making models that fit the data. It helps us solve pattern recognition, perception problems, like in vision and speech recognition; statistical problems like classifying or clustering the data, predicting a variable, such as predicting stock movements. Neural networks, and in particular an advanced form of it we call deep learning has shown tremendous success, matching human level in image recognition, and provided new capabilities like style transfer. I think that most AI problems can be solved with machine learning. Deep learning has vastly improved speech recognition, synthesis, language understanding. We can use deep learning to reason, analogize, map questions to answers, and imagine. We have thus already started applying machine learning to solve many kinds of cognitive problems. Either deep learning or AGI methods will likely soon help us achieve human-level across all tasks. Machine learning can also be used to design autonomous or semi-autonomous robots that can adapt to the environment. A popular kind of machine learning application is automating labor such as trading, and legal search.
https://youtu.be/V5uJnwEBB4s
All the details are on the website https://www.ehfirst.io/ and in the White Paper https://www.ehfirst.io/#wp.
EHF Director in AI and ML Eray Ozkural:
What is Artificial Intelligence and Machine Learning?
AI is making computers perform tasks that require intelligence, such as solving a math problem, or understanding a piece of text. There are many definitions of intelligence in the AI literature. Thinking or acting like human, or thinking or acting rationally, like Mr. Spock. AI spans the whole gamut of our mental faculties such as learning, perception, reasoning, planning, reflecting, language and behavior. There are many approaches in AI, such as symbolic, logical, Bayesian, neural, and evolutionary. On the other hand, machine learning is making models that fit the data. It helps us solve pattern recognition, perception problems, like in vision and speech recognition; statistical problems like classifying or clustering the data, predicting a variable, such as predicting stock movements. Neural networks, and in particular an advanced form of it we call deep learning has shown tremendous success, matching human level in image recognition, and provided new capabilities like style transfer. I think that most AI problems can be solved with machine learning. Deep learning has vastly improved speech recognition, synthesis, language understanding. We can use deep learning to reason, analogize, map questions to answers, and imagine. We have thus already started applying machine learning to solve many kinds of cognitive problems. Either deep learning or AGI methods will likely soon help us achieve human-level across all tasks. Machine learning can also be used to design autonomous or semi-autonomous robots that can adapt to the environment. A popular kind of machine learning application is automating labor such as trading, and legal search.
https://youtu.be/V5uJnwEBB4s
All the details are on the website https://www.ehfirst.io/ and in the White Paper https://www.ehfirst.io/#wp.
This is indeed quite an interesting and powerful subject in IT at the moment. Some tasks, in particular those required to recognize patterns i believe are just going to be performed by machine quite soon. As mentioned, in the feature we may not need lawyers anymore
This is really a useful project, I think it will be in demand. I wish I had seen it before. Tell me, when will the MVP be ready?
