IBM Watson
In 2011, the IBM Watson computer defeated the two best contestants in the game show Jeopardy. What made the achievement so remarkable was that the computer had to read the question, understand what was being asked, search through 200 million pages of text, figure out what the best answer would be, and then hit a buzzer before the other contestants. It accomplished all these steps in about 3 seconds. IBM predicts that Watson could be the ultimate researcher, helping professionals in various industries find the information they are looking for in a matter of seconds. What do you think about Watson’s powerful services? Do you think you could one day have access to this powerful technology on your favorite search engine. How would having an IBM Watson help you in your college career?
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- Correct answer will be upvoted else Multiple Downvoted. Computer science. every subject (aside from precisely one), there exists an essential theme (for the point I, the essential point is pi). Ivan can't give a talk on a subject prior to giving a talk on its essential theme. There exists no less than one substantial requesting of themes as per these essential imperatives. Requesting the subjects effectively can assist understudies with understanding the talks better. Ivan has k uncommon sets of points (xi,yi) with the end goal that he realizes that the understudies will comprehend the yi-th subject better if the talk on it is led just after the talk on the xi-th theme. Ivan needs to fulfill the requirements on each such pair, that is, for each i∈[1,k], there should exist some j∈[1,n−1] to such an extent that qj=xi and qj+1=yi. Presently Ivan needs to know whether there exists a requesting of subjects that fulfills this multitude of imperatives, and if something like one exists,…arrow_forwardAlphaGo is the first Go AI(Artificial Intelligence) of DeepMind. AlphaGo learned Go game by observing numerousdata of human professional players. How could AlphaGo become better than the professional players that it observed ?2. There was a go game between AlphaGo and Sedol Lee (, a winner of 18 international titles). It was a 5 game matches. How many game(s) did Sedol Lee win out of the 5 games? 3. A new form of AlphaGo was called AlphaGo Zero. Did AlphaGo Zero learned from human played games? How did AlphaGo Zero learn Go game?arrow_forwardA wide variety of everyday objects (including attractions at amusement parks, autos, elevators, and ovens) are really computers or information systems these days. The typical person would not connect them to a computer or database. The benefits are obvious, but are there any downsides to consider? As an example, if you rode a computer-controlled roller coaster, how confident would you be in its safety? As more and more mundane tasks are automated by computers, we have to ask whether the benefits are worth the cons. If so, then explain why.arrow_forward
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- Please send me answer with 10 min!! please answer all the questions!! I will rate you good for sure!! Can someone explain a few things about the code below? 1.The tools, libraries, and APIs utilized 2.Search methods used and how they contributed toward the program goal 3.Inclusion of any deep learning models 4.Aspects of the program that utilize expert system concepts 5.How the program represent knowledge 6.How symbolic planning is used in the program CODE BELOW: import numpy as np # Define a simple function for the neural network to learn def function(x): return x**2 + 2*x + 1 # Define the neural network architecture input_size = 1 hidden_size = 16 output_size = 1 # Initialize the weights and biases W1 = np.random.randn(input_size, hidden_size) b1 = np.random.randn(hidden_size) W2 = np.random.randn(hidden_size, output_size) b2 = np.random.randn(output_size) # Define the sigmoid activation function def sigmoid(x): return 1 / (1 + np.exp(-x)) # Define the derivative of…arrow_forwardWhat is the role of artificial intelligence in modern software development, and how is it changing the way that software is designed and created? With the rise of machine learning and other AI technologies, software developers are increasingly turning to these tools to automate various tasks, optimize performance, and improve user experiences. For example, AI can be used to analyze large datasets, make predictions based on patterns in the data, and even generate code automatically. This is leading to a new era of intelligent software that is more adaptive, flexible, and responsive than ever before. However, there are also concerns about the ethical implications of AI, such as the potential for bias and discrimination, and developers must be careful to ensure that their use of these technologies is responsible and transparent.arrow_forwardWhat will Artificial Intelligence (AI) have accomplished when the dust settles? Provide a brief summary of the large variety of topics it covers, using at least two examples to back up your claims.The purpose of artificial intelligence is yet unknown. Provide an outline of the classes and at least two examples to demonstrate each.arrow_forward
- Fundamentals of Information SystemsComputer ScienceISBN:9781305082168Author:Ralph Stair, George ReynoldsPublisher:Cengage LearningFundamentals of Information SystemsComputer ScienceISBN:9781337097536Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning