IBM news has reported that the high-tech giant is engaged in the process of testing algorithms to measure their level of intellectual ability. These tests would play an important role in expanding the working capacity of computers as they intend to employ the abilities of the human brain, which itself is the pioneer of the first computer.
The organization has created a research group to judge Numenta’s learning software for understanding satellite imagery of crops and to detect technical failures. The group members are currently trying their best to equip the software with the ability to control different physical equipment. This test would gather necessary information about crops.
This group would soon be able to pioneer hardware devices that are capable of employing those abilities. IBM news today affirms that 100 workers are already working on the project. The leader of the research group, Winfried Wilcke, has appreciated Numenta’s algorithms for being closer to biological functions than other machine learning equipments, and said that it was capable of efficiently employing data for different purposes. This statement proves that the group leader is satisfied with the performance of the software. The newly designed software would add support to the problem solving ability of the computers in the future.
IBM is the not the only company interested in making use of machine learning, as Google and other computing businesses also employ machine learning for performing a number of different tasks. It would soon be able to increase the pace at which complex tasks are being performed. The algorithms would employ a network. IBM breaking news stated that the algorithms intend to redevelop the behavior of the circuits of approximately 100 neurons. These neurons are found in the external layer of the brain called neocortex. These ‘brain cells’ would ensure that the computers are able to function like human brains.
Multiple silicon wafers would be used to build the networks being used by the algorithms. Some experts and market analysts, who believe that the algorithms are oversimplified to accomplish tasks, have criticized the testing operations. It has been predicted that the success of these tests would not only revolutionize the world of information technology, but would also contribute in the progress of humanity. Now it is yet to be seen to what extent does the software tests are able to play their role in introducing human-like machines in the market.
Comments