Before you buy into the ChatGPT hype, perhaps you should first listen to the criticism of current AI by some eminent philosophers.

In recent decades the rate of development within the field of artificial intelligence has been accelerating steadily. In 2015, the ability of computers to classify images surpassed that of a trained human brain, with computers consistently beating profesional human player in everything from simple games such as Checkers and Othello, to more complex ones such as Chess and Go. Not only that, but machines now have us beaten even in games such as Starcraft and Dota -- games that require reflexes, fine tactics and cunning. Watson was able to beat them and analyze and derive answers out of complex question containing puns, slang and intentionally confusing word-play. Not only did Watson beat them, but he completely outperformed them with a landslide victory.

Are these hubots something human or some kind of machine? If Human intelligence can quickly tell the difference between the two, machine learning must rely on algorithms like artificial neural networks to make a prediction. Patterned after the structure of the human mind, do ANNs allow machines to think like humans? What exactly are ANNs, how do they work, how do they differ from other machine learning algorithms, and what are their use scenarios in data science? Computers were originally designed around algorithms composed of predetermined steps to calculate the right answer for a given case.

Artificial Intelligence has begun to enter every spectrum of business and every day life. We have started experiencing transformation in travel, entertainment, shopping, food delivery, banking, learning, personal assistants, to name a few. In many of these examples, AI is playing assistive, augmentative or sometimes, autonomous force. Competitive forces impacted by AI are acting as triggers for large well-established businesses to rethink their business models in order to survive and avoid extinction in some cases and in others to create new growth trajectories and build on their brand legacies. Therefore, rather than flighting the progression of technology or AI, the success of leadership lies in deploying AI in smart ways that would benefit the business.

The long-drawn tussle between man and machine has made another breakthrough. Using snippets of voices, Chinese Technology Leader Baidu's'Deep Voice' can generate new speech, accents, and tones in only 3.7 seconds in comparison to the 30 minutes of audio the company's voice cloning tool required a year back. This demonstrates the accelerating advances, the technology to produce artificial voices, has made in such a short span of time. Also, it is indicative of the capabilities getting stronger and becoming more realistic with time, which may lead to abuse of the technology. As is true for all artificial intelligence algorithms, the more data is fed to the voice cloning tools such as Deep Voice to train with, the more realistic the results they produce.

There's been a constant debate on Artificial Intelligence (AI) and how if things go awry, it can pose a threat to mankind. In the battle of arguments, a human has defeated IBM's AI-based debating system. Harish Natarajan, the grand finalist of the 2016 World Debating Championships, engaged in a face-off against a system built to debate with humans. Natarajan defeated IBM Project Debater, which is touted as the'first AI system built to debate'. The competition took place in front of 700 people, including debaters at the Yerba Buena Center, who were asked to vote for either side before and after the debate. The topic for the debate was based on subsidising pre-schools, which was not revealed until 15 minutes before they got onto the stage.

The idea of'Automata' originates from the mythologies of many cultures across the globe. Early inventors and engineers from ancient civilisation such as Greek, Chinese or Ptolemaic Egyptian attempted to develop a self-operating or automated machine resembling humans and animals. The term'Robot' comes from the Czech word "Robota" refers to "Forced Work or Labor" which was first used to refer the word'Artificial Automata' in a 1920 play R.U.R (Rossum's Universal Robots) by the Czech interwar writer'Karl Capek.' In 1928, one of the first'Humanoid Robots' invented by W.H.Richards, delivered a speech in the annual event of the'Model Engineers Society' in London. The brief history shows that'Robots' are not a new innovation but is a'Thinking Machine' which is programmed by a computer and is capable of doing complex series' of actions automatically.

There is no doubt that artificial intelligence or AI has immense potential. In the next few years, it will revolutionize every field of our life, including healthcare. The technology has sent vast waves across the sector, powered by the growing availability of healthcare data and the fast progress of analytic procedures. Due to its power of transforming healthcare, there have been active discussions of whether AI will take the place of physicians/doctors in the future. One thing is for sure that even if AI will not replace physicians/doctors, it can surely help them tackle key issues in the healthcare system.

Human civilization has come a long way since the times of using Stone Age and Iron Age implements for hunting, agriculture, mobility and in general, for addressing all aspects of human existence . The basic urge to improve the quality of life by using tools is perhaps hardwired into the human brain as evidenced by many inventions across all the cultures of the world, including primitive societies of today. With the advent of industrial revolution in England in 17th century, machines came to be invented and the power of coal, and later electricity and other sources of energy came to be harnessed for purposes which were until then undertaken by manual or animal labour or even impossible to be done. One basic characteristic of all human inventions which continue unabated till date has been that though they helped reduce the drudgery of humankind, they were designed to merely obey human commands and often perform repetitive jobs with immense power, precision, unerring accuracy and efficiencies bordering on the unfathomable . In other words, most machines were "dumb" and possessed no "native" intelligence that would enable them to learn, memorize and execute tasks of ambiguity like humans do.

The surge in robot sales has seen the emergence of four major suppliers, two Japanese, Fanuc and Yaskawa, a Swiss/Swedish concern ABB and Germany's Kuka AG. The rise in robot demand has coincided with a jump in their share prices. Kuka made the news last year not because its robots were building Tesla and Porsche cars, but for its €4.5bn takeover by the Chinese appliance company Medea, which hopes to build small mobile robots for the home and consumer industry. However, the German government was unhappy with the takeover. While it has a right to block any non-EU company from acquiring more than a 25pc stake in any German entity, it is limited to public order being endangered or national security.