“Robot” is derived from a Czech word meaning “forced labor”. Czech writer Karel Capek first used the term robot in 1921. Some time back New York Times told us the same thing but this time we are serious and anxious. Thanks to Elon and Steven.
Robots – Hollywood movies telling us since long those Robots are coming to get us, people were enjoying these indications as jokes and science fiction movies.
Since early days; regardless of origin, race, culture or language one speak we get same question “What do you do”. In old days If the answer was “I do artificial intelligence” and immediate reaction was “Why don’t you have natural one”. Today if the answer to the same question is “I do artificial intelligence”; immediate reaction is “Please don’t hurt me / us”. This is called change.
Please note : I am the big fan, follower and lover of everything about AI which can bring only best things and good enough treats. AI will help and do betterment for humanity. This kind of revolution tells us where we are heading. If you’re waiting for A.I, look around you — you will find some form of artificial intelligence at work almost every where/ Though its pinnacle will take around 50 or more years; machine consciousness is indomitable will happen sooner of later.
Robots can fail, as reason is very simple; which is machine learning models are not sufficiently accurate or can’t be accurate without lots of data and lots of training. Robots are well suited for work where human are at significant risk, the economics or menial nature of the application result in inefficient use of human workers, and for humanitarian uses where there is great risk.
Robots or AI enabled AI taking our jobs is still far not in next 50 years or so. Robots have to pass basic four tests to attain some level of confidence and maturity (in my personal opinion).
- Turning test
- Acquire college degree to be fully qualified
- Work an an employee for atleast 20 years and perform well.
- Get promotions and attain ASI status.
As per Robot Institute of America robot is “A programmable, multifunction manipulator designed to move material, parts, tools or specific devices through variable programmed motions for the performance of a variety of tasks”. We all know in human emotions help prevent people from repeating their mistakes and learning from decisions that resulted or went wrong in the past i.e. negative feelings. In Robots recognizing emotions would allow robots to become more responsive to users’ needs and exhibiting emotions would help robots interact with humans.
Interestingly robotics with AI have very peculiar behaviour which is dependent on owner’s behavior i.e. who made it (ya looks like god father concept). In this analogy, the programmer is the learning machine’s parent i.e. like father like son …. may be true. Robots are no longer restricted to structured environment and interestingly can learn like humans and works well side by side with human in much more faster and efficient manner.
Artificial intelligence is the only technology which is going directly from disappointment to deadly with being beneficial in between. Lemmatization of artificial intelligence has many names i.e. narrow, strong/general or super also its subsets i.e machine learning, machine intelligence, machine consciousness, deep learning etc.
Can we really stop this storm of artificial intelligence answer is definitely no as innovations has no stop button. Can we regulate it; answer is yes for sure it can be regulated. Regulation can define boundaries and limits the usage level of AI in each domain of todays work.
Word of caution regulatory framework should not be taken as benefit or money producing machine for some or few people or to kill it. When AI is used most effectively, you won’t even know it’s being used. It will be running in the background as mentioned previously.
Still confused then check you pocket for your smart phone. We all have very soothing female voice virtual personal assistant on our phones i.e. Siri, Cortana etc. Be careful and don’t fall in love as this is a voice processing algorithm only. All this happens based on Natural Language Processing (NLP) which is known as procedure/software built in systems/ device that can understand and process language.
NLP comes under Artificial Intelligence. The well-known joke in robotics, “robots are good for the 3 D’s: jobs that are dirty, dull, or dangerous”.
Robots Task Orientations
Robots were never a single task machine in my own definition and now for real moving beyond factory or work shop floors. They can handle with less dynamic or human controls e.g in hospitals they roam safely to deliver medicines, help in operation theaters, delivery towels in hotel and minbar items. Also entered in to pleasure industry to sleep with human. All thanks to sensors and smart technology as new generations robots are much more safe to live with.
Soon a cloud based virtual assistant will take over control to our emails, sms, contacts and social media by talking to us in a warm and husky voice who will prove to you that knows you better then your brother, mother, your friend or even your very own wife (soon to be ex if you don’t control your self).
Soon suggestion and direction will come through for what to do next and human will become robot even dump human. One hour down time of such assistant will bring our life to stand still. Don’t worry your infatuation eventually cools off after you realize she is carrying on equally intimate conversations with thousands of other customers. Learning in robots is getting same as humans learning process i.e. trial and error.
Helping customers on internet are in use from decades any ways but growing old, matured and smart as human do.
Robots & Robot Behaviour
A behavior-based approach to action selection in cooperative robotics ranging from reflexive to super smart agents that incorporates models of motivations to enable robots to cooperate without explicitly negotiating or instructed. Using robots for environmental remediation and restoration of irradiated and polluted sites.
Manufacturing and AI, currently appear to be merging. Manufacturing is now shifting to a “mass customization” phase, where companies that can economically make short runs of special order goods are thriving. Example self driving car to take you to work or to an appointment, drive home and park for free and then return later to pick you up.
The pressure is on for industrial robots, more correctly referred to as industrial manipulators, to be rapidly reprogrammed and more forgiving if a part isn’t placed exactly as expected in its workspace. As a result, AI techniques are migrating to industrial manipulators.
My question is are we not learning about our own intelligence or handing over our capabilities to machines. As per professor Andrew machine learning is a revolution in history of man kind first one was where machines came and took our basic jobs to make us faster and our life easy. Now to me this second one is coming to make us lazy and heavily dependent. The technique that made easy work easy possibly is no longer AI, but something mundane.
Different users need different tools (Customer Prospective)
There is need of automated security assistant that learns the needs of the individual user and helps them to apply security tools. For me as an individual my automation needs are data confidentiality, data-loss tolerance limits and recovery costs, my privacy. On back-end machine needs to learn my usage patterns, technical knowledge and security choices I make.
Innovation, which is fueled by advances in computing power and connectivity, the fields of the robotics and artificial intelligence have grown rapidly. With technology advancing at breakneck speeds and demystifying robotics and artificial intelligence with new applications, machinery, and ultra fast process in business, factories and homes in short from teleportation to autonomy.
History don’t lie any ways robots were used in the military and industry invested in robotics in order to build nuclear weapons and power plants, this is were things would go tribally wrong.
Disclaimer – I am not saying Siri or such services are robots.
Books + Other readings Referred
- Open Internet
- Hands on personal research work @AILabPage
Conclusion – We should see in next couple of years a vast improvement in current state-of-the-art machine learning in cyber-security, payment intelligence and info-security intelligence. Instead, business silently gravitates toward the subtasks that have implicitly performed. Classic example for this in AI is a critical tool to improve customer experience i.e. facial recognition technology, which is 10 to 15 times more accurate than human beings at identifying people.
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