TAKING #MACHINE#LEARNING TO THE NEXT LEVEL
Most #technology#enthusiasts are concerned about how #smart machine learning products will become over time. Although these products are coded by humans, there is no doubt these new creations will eventually outsmart our species and perhaps even take over the world one day. For now, such apocalyptic scenarios haven’t come true, but that doesn’t mean they are off the table entirely. That’s especially the case if the machine learning models developed by Alibaba and Microsoft are an indicator. Their creations perform far better on reading tests than humans.
More specifically, #Alibaba ’s Institute of #Data#Science and #Technologies reports that its #AI received a score of 82.44 when it came to answering questions without multiple choice options. For the average human test subject, the score was 82.304. Although this is a minor difference, it does show that the average machine learning-based tool is already better than humans in this regard. Microsoft scores relatively high as well, with a score of 82.65. It is evident that the human element in the equation has been officially surpassed by a computer, which is not necessarily a positive thing.
The big question on most people’s minds is what all this means for the future. While these results are promising for Alibaba and Microsoft, they are also a cause of concern for most human entities on the planet. Creating a natural-language processing AI which scores higher than actual people is an intriguing milestone, especially when considering that this field of research is still in its early stages. A lot of progress can still be made, but the foundation for a bright future has been laid already.
It is evident that interest in the world of AI development has never been higher. While these scores will not necessarily push a lot of companies into this field of research, no one can deny the numbers either. There is a genuine “weapons race” going on in the world of artificial intelligence development, especially in Asia. Enriching social media feeds and aiding in autonomous driving are two of the more popular concepts waiting to be explored at present.