Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...Full Bio
Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...
Data science is the big draw in business schools
1047 days ago
7 Effective Methods for Fitting a Liner
1057 days ago
3 Thoughts on Why Deep Learning Works So Well
1057 days ago
3 million at risk from the rise of robots
1057 days ago
Top 10 Hot Artificial Intelligence (AI) Technologies
How Artificial Intelligence And Internet of Things Could Lead to a Robot Uprising
We all know where this future leads: machines become too smart, catch a streak of teenage rebellion, and overthrow their fleshy, meat bag creators - us. If you think this is a crazy notion, then you are at odds with people like Stephen Hawking who are convinced this future is inevitable.
I'm not saying it will happen, only that it may. If it does, we'll know to blame that darn smart TV remote that's tired of getting its buttons pushed.
Internet of Things (IoT) is well on its way to this level of intelligence. While you probably (hopefully) aren't having conversations with the TV remote yet, AI research and IoT development are on a collision course with one and other.
The Strengths and Weaknesses of Current Tech Intelligence
For most of their history, computers have had an intelligence paradox. On one hand, they are drastically more intelligent than humans. They can solve math problems too complex for humans, and the early computers were outperforming humans with space flight calculations before we even put a man on the moon.
The Limits of Large Data Processing
Once again, I'm talking about smart, like knowing not to sext a police officer. Right now, smart devices are pretty dumb because of their limitations. Most don't know how to learn without human assistance.
For example, the latest crop of smart devices has become excellent at storing large amounts of diverse information. They get this information from various sensors and inputs that people build into them. However, humans and computer programming are still required to make any sense of the data.
Many people argue that the future success of IoT is only possible using artificial intelligence. The amount of data we will have to process will be so great that only computers will have any chance of working with it.
This means that computers will have to learn, presumably for themselves, how to analyze the data in a way that is useful for us. This doesn't necessarily scream free will, but it's certainly a step up from where computers are today.
Still, I think it's safe to say that a robot uprising isn't likely any time soon. Granted, I could wake up tomorrow and face Mr. MurderBot 2000 staring at me in bed, but then I probably would deserve it.