We have already been able to teach robots to be ruthless, killing machines and greedy tools. What is next?
A variety of new technologies on display at a recent legal tech conference, mostly built on forms of artificial intelligence (AI) and machine learning, had at least one factor in common: All centered around doing tasks much faster than humans, allowing those humans more time or information for making important decisions.
At the Thomson Reuters Emerging Tech Conference held December 1, panelists and speakers discussed several types of AI-aided platforms and products that were presented by various start-ups, including blockchain technology. The panelists were excited about all the potential problems that could be solved by incorporating blockchain, especially the fact that it can provide an identity for 1.5 billion people who, according to the United Nations, have no legal “identity”. That lack-of-status makes it hard for such people to enter transactions because the person on the other side of the deal is unable to make a judgment about whether the person is a risk.
Data scientists from Microsoft and IBM Watson, along with Julian Togelius, an Associate Professor in Computer Science & Engineering at New York University, tried to define artificial intelligence as an attempt to improve computers’ capabilities to extend humans’ own abilities to work with unstructured data. While machine learning, deep learning and cognitive computing are all parts of that, the overall goal is to speed up the rapid analysis of vast sets of data and provide extractions or recommendations so that humans can make conclusions and decisions based on data more rapidly than by previous methods of analysis.
Regards!
A variety of new technologies on display at a recent legal tech conference, mostly built on forms of artificial intelligence (AI) and machine learning, had at least one factor in common: All centered around doing tasks much faster than humans, allowing those humans more time or information for making important decisions.
At the Thomson Reuters Emerging Tech Conference held December 1, panelists and speakers discussed several types of AI-aided platforms and products that were presented by various start-ups, including blockchain technology. The panelists were excited about all the potential problems that could be solved by incorporating blockchain, especially the fact that it can provide an identity for 1.5 billion people who, according to the United Nations, have no legal “identity”. That lack-of-status makes it hard for such people to enter transactions because the person on the other side of the deal is unable to make a judgment about whether the person is a risk.
Data scientists from Microsoft and IBM Watson, along with Julian Togelius, an Associate Professor in Computer Science & Engineering at New York University, tried to define artificial intelligence as an attempt to improve computers’ capabilities to extend humans’ own abilities to work with unstructured data. While machine learning, deep learning and cognitive computing are all parts of that, the overall goal is to speed up the rapid analysis of vast sets of data and provide extractions or recommendations so that humans can make conclusions and decisions based on data more rapidly than by previous methods of analysis.
Regards!
We are always there. things have not changed since the 1980s. it does not really move except marketing illusion. Certainly infrastructures have shown a great deal of power in terms of computing power and communication ... the rest is moving slowly. Even the current marketing in the IT field is trying to recolor old ideas differently ... We must change paradigms and for that we must think deeply ... and not transform the old! and that's the question
The future of AI is bright. Everything is going smart. Amazon recently is here with full automation shopping. All these are intelligent programming working out things. It will continue to improve until maybe we create a near human.
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