What are the issues in deep learning?

5 Key Deep Learning/AI Challenges in 2018

• Deep Learning Needs Enough Quality Data.
• AI and Expectations.
• Becoming Production-Ready.
• Deep Learning Doesn’t Understand Context Very Well.
• Deep Learning Security.
• Closing Thoughts.

What do you think are some important unsolved problems in AI?

Unsolved Problems In AI That Are Pushing Researchers To Explore New Ideas

• Exhibiting Common Sense. One of the most prominent problems for AI is displaying common sense.
• Visual Aesthetics.
• The Face Of Conscience.
• Lifespan Of AI.

What is a major problem of developing deep learning AI?

Once trained, deep learning models become inflexible and cannot handle multitasking. They can deliver efficient and accurate solutions but only to one specific problem. Even solving a similar problem would require retraining the system.

What is the frame problem in artificial intelligence?

To most AI researchers, the frame problem is the challenge of representing the effects of action in logic without having to represent explicitly a large number of intuitively obvious non-effects.

What is a planning problem?

Formally, the planning problem is to obtain a sequence of transformations for moving a system from an initial state to a goal state, given a description of possible transformations.

When was the name Ai framed?

They were proposed by Marvin Minsky in his 1974 article “A Framework for Representing Knowledge”. Frames are the primary data structure used in artificial intelligence frame language; they are stored as ontologies of sets….Example.

Slot	Value	Type
NUM_LEGS	Default = 2	(default)

What kind of problems can machine learning solve?

9 Real-World Problems Solved by Machine Learning

• Identifying Spam. Spam identification is one of the most basic applications of machine learning.
• Making Product Recommendations.
• Customer Segmentation.
• Image & Video Recognition.
• Fraudulent Transactions.
• Demand Forecasting.
• Virtual Personal Assistant.
• Sentiment Analysis.