Machine Learning systems are all set to surprise us and here is how. The simple spreadsheet of machine learning foibles is a fascinating exploration of how machines think. These machines obviously are not capable of thinking in the real sense.
Google is recently been seen making use of AI. The main reason for this is to assist the New York Times for the purpose of digitizing around 5 million historical photos. These photos seem to be lieing for many years in the office.
Geo location data privacy is one of the core issues faced by companies relying on data like facebook, Uber etc and country laws are getting increasingly strict about porting data out of thier boundaries. In this scenario, can blockchain provide a solutions acceptable to the local authorities as well as the technology giants?
Google with A.I. has been challenged by China's Baidu regarding the translation of languages in real-time. An artificial intelligence-powered tool was unveiled by Baidu which is responsible for translation of languages. This will pose a great challenge to Google who had last year launched its real time translation tool.
Artificial intelligence is something which is recently trending and is also gaining importance nowadays. However, it is said to have its own set of positive and negative points especially in the Digital arena. The role of Artificial intelligence can be seen gaining a lot of priority in businesses today.
The machine learning framework by Microsoft is also set to go open source. It has recently opened its cross-platform frameworks known as Infer.NET. It is said to be a machine engine which will be used in Office, Xbox, and Azure.
IBM has recently announced that it is all set to launch 'AI Fairness 360' in order to detect Bias in Artificial Intelligence. It will basically check biases related to algorithms and also try to understand how and why they have crept in. AI Fairness 360 is a comprehensive open-source toolkit of metrics launched by IBM.
The following article is related to Machine Learning. It basically highlights the fact that ML cannot solve everything. It still faces about 5 challenges and the articles talks about the same. Although the future seems to be promising with ML, it still faces the following 5 challenges.
According to the following article, Google Sound Search has now turned to be way better and all the credit goes to AI based song recognition. It is said that Sound Search feature can be used within the Google Assistant in order to find which song is being played in near vicinity.
The following article talks about why machine learning lifestyle management is said to be important. It has been seen that data science and machines learning are soon becoming the critical building blocks for data driven organisations.