Human vs Machine: A classic demonstration of AI evolution.

This was a dream in past, This is a dream of present and certainly this will be the future of humans to work with the machines. Though questions were raised earlier that if a machine could literally replace human, Not only by performing an action or answering questions by searching the internet, but also by applying a thought process evolved by humans in centuries and this did not even take a decade for a machine to do so.

IBM's AI project DEBATE has proved itself, a life within a machine. Project debate can defend itself in arguments and attack back with the convincing thoughts by analyzing a greater amount data present over the internet. IBM Research and Intelligence Squared U.S. hosted a live public debate on Monday, February 11 between a human and an AI. Harish Natarajan, a grand finalist in 2016's World Debating Championships, faced off against IBM's Project Debater — a computer touted by the company as the first artificial-intelligence system built to meaningfully debate humans. Natarajan won, but the computer demonstrated the increasingly complex arguments that AI is starting to make.

Here’s more on what goes into a debate:

• Project Debater’s knowledge base consists of around 10 billion sentences, taken from newspapers and journals.
• In a live debate, Project Debater debates a topic that it has never trained on given a very short sentence describing the motion. The first step is to build an opening speech to defend or oppose this motion. Project Debater searches for short pieces of text in the massive corpora that can serve this purpose. This requires a deep understanding of human language and its infinite nuances and very precise stance identification, something that is not always easy for humans and is certainly very difficult for computers.
• This process can result in a few hundred relevant text segments. In order to debate effectively, the system needs to construct the strongest and most diverse arguments to support its case. Project Debater does this by removing redundant argumentative texts, selecting the strongest remaining claims and evidence, and arranging these by theme, creating the base of the narrative to support or contest the motion.
• It also uses a knowledge graph that allows it to find arguments to support the general human dilemmas that are raised by the debate topic, such as when it is right for the government to coerce its citizens, infringing on their personal freedom of choice.
• Project Debater pieces all the selected arguments together to create a persuasive speech that lasts approximately four minutes. This process only takes a few minutes. Then, it’s ready to deliver its opening speech.
• The next step is to listen to the opponent’s response, digest it and build the rebuttal. Generating a good rebuttal is the most challenging part of debate for both humans and machines. Project Debater applies many techniques, including those to anticipate and identify the opponent’s arguments. It then aims to respond with claims and evidence that counter these arguments.