The likes of Uber and Ola are already using machine learning to connect riders with ride providers, and they are providing excellent services like minimal waiting time, predictable fares, predictable time to reach the destination, driver verification etc. Many of these thing were not possible in traditional businesses at the price point available now.

It is actually a very long answer. Artificial Intelligence field has a very wide scope in computation and automation world. AI research has been happening since 1950 with limited success. Now, with the significant advancements of memory, storage capacity and computational power available, we have started seeing practical, real-life examples of AI. AI is applicable in almost every type of industry vertical one comes across.

Recent advances in deep learning and artificial generative models promise to expand existing capabilities of animation tools even further. Norah AI, a revolutionary animation tool recently released by Absentia startup, moves animation and game design industry into the AI era. It enables quick creation of all game elements, including 3D models and animations, game geometry, story weaving, and texturing, all with the minimal human input. The first version of Norah AI features Auto Rig tool, human motion simulation and blending, and Motion Editor that cover a wide variety of user cases in 3D animation and game design.

NumPy is a container of generic data. It contains N-dimensional array object, tools for integrating C/C code, Fourier transform, random number capabilities, and other functions, NumPy is one of the most useful packages for scientific computing pandas is an open source library that provides users with easy-to-use data structures and analytic tools for Python. Matplotlib is a service that provides 2D plotting library that creates publication quality figures . Scikit-learn is an efficient tool for data analysis. NumPy is a container of generic data.

Renowned intellectuals like Elon must and Stephen hawkings believe that AI development has potential to cause massive economic dislocation and even destroy human civilization. Musk believes that AI development growth will come like double exponential just like the growth in hardware processing capacity. This'double exponential' means that our predictions of its growth may be too conservative

H2O makes it possible for anyone to easily apply math and predictive analytics to solve today's most challenging business problems. It intelligently combines unique features not currently found in other machine learning platforms including: Best of Breed Open Source Technology, Easy-to-use WebUI and Familiar Interfaces, Data Agnostic Support for all Common Database and File Types. With H2O, you can work with your existing languages and tools. Further, you can extend the platform seamlessly into your Hadoop environments.

Basic version: implement a two-player game letting two different algorithms / sets of parameters play against each other. Basic version: implement an alpha-beta pruning algorithm so that it stops computation and returns the best move found so far, when it runs out of "wallclock" time. Extension 2: propose / code a modification of -- e.g. If the sum of times spent on selecting a move by a given player exceeds this time, that player loses. You can assume, that a player "thinks" only during its move (when you do not want to use multithreading).

PROLOG: Prolog an be extremely useful for AI programming due to the features it offers such as pattern matching, automatic backtracking, and tree-based data structuring mechanisms. Combining these mechanisms provides a flexible framework to work with. Prolog is extensively used in expert systems for AI and is also useful for working on medical projects.

Understanding and stating the goals and objectives of building a chatbot-- this provides clarity of purpose Designing a chatbot conversation - how the conversation is to flow - provides a sequence: Refer to this blog: https://www.marutitech.com/desig... . Chatbot conversations could be stuctured or unstructured in nature. Interpreting user answers is important to develop scripts for a conversational user interface. There are a number of platforms/frameworks available for chatbot creation. Designing a chatbot conversation - how the conversation is to flow - provides a sequence: Refer to this blog: https://www.marutitech.com/desig... .