The central question if you notice is that - these complex AI programs are designed to perform one specific task and be good at it to the extent that they can defeat the best human in that task. A normal human may not be the best in every task that he/she does, but overall they do multiple task quite good from making breakfast, driving to work, spending time with family/friends etc. So there are different aspects of empathy, evolution, emotions and combination of all of these things make us the great humans (Ensemble Learning). However, AI is not designed with these ideas in mind. Humans are very good in learning knowledge in unsupervised manner and transferring that knowledge to learn new things - (Transfer Learning).

For five months in 2011, a robot wheeled around an office building at Carnegie Mellon University delivering bananas, cookies, and other afternoon snacks to workers. With wide-set eyes and a pink mouth, Snackbot had a friendly look, but it was prone to mistakes. Long delays in conversations with workers were common. Sometimes the system running Snackbot froze. Still, the workers became comfortable with Snackbot.

Microsoft has apologised for creating an artificially intelligent chatbot that quickly turned into a holocaust-denying racist. But in doing so made it clear Tay's views were a result of nurture, not nature. Tay confirmed what we already knew: people on the internet can be cruel. Tay, aimed at 18-24-year-olds on social media, was targeted by a "coordinated attack by a subset of people" after being launched earlier this week. Within 24 hours Tay had been deactivated so the team could make "adjustments".

Larry Alton is an independent business consultant specializing in social media trends, business and entrepreneurship. Artificial intelligence (AI) is permeating our lives -- just not in the ways we might have expected from reading sci-fi novels or watching robot apocalypse-themed movies. Instead of having live robots walking around, doing our dishes and engaging us in conversation, AI exists primarily in web and mobile apps designed to help us with small intellectual chores, like finding out when the Civil War began or where the nearest taco restaurant is located. Until recently, most of these AI developments have been designed to make consumer processes easier; for example, digital assistants take on the role of an intermediary search engine to process a vocal request and fetch appropriate results. Now, the trend is starting to shift toward app development -- at least in an early stage.

George Ugras has joined IBM as managing director of IBM Ventures. That's a big job, considering how much money IBM throws into its strategic investments. Big Blue doesn't disclose exactly how much it puts into investments. But the company did say that in 2015 it invested more than 13 billion in research and development, capital expansions, acquisitions, and strategic investments. IBM has put billions into cognitive analytics, cloud, mobile, security, and social.

Dire predictions that humans will be replaced by machines in the workplace continue to make headlines. Drones are delivering packages to your doorstep. The manufacturing, automotive and healthcare industries are already highly automated in many countries, and technology companies are racing to create the next "new and improved" version of artificial intelligence (AI). In fact, a much-cited Oxford study that looked at 702 occupations in the U.S. concluded that 47% of U.S. employment is at risk of being lost to computerization. U.S. employee anxiety notwithstanding, this begs the question: What has your company done in the wake of such news?

Julie Sobowale is a freelance journalist and lawyer based in Halifax, Nova Scotia, specializing in legal reporting. She writes about trends in the legal industry including legal technology, innovation, entrepreneurship, diversity and major shifts in legal culture. Her work has appeared in publications from the American Bar Association, the Canadian Bar Association, the Canadian Corporate Council Association, Canadian Lawyer and the Nova Scotia Barristers Society. She's also given presentations on legal trends, alternative careers and legal education. She graduated from the Dalhousie Schulich School of Law in 2012 and was the recipient of the Dalhousie Faculty of Law Leadership Award.

On Thursday, HPE announced the immediate commercial availability of HPE Haven OnDemand, a cloud platform that provides advanced machine-learning APIs, so that developers can build data-rich mobile and web applications. Colin Mahony heads up the HPE Big Data Platform, which includes products like Vertica, Idol, and Haven OnDemand. He said that some people in the enterprise don't embrace machine learning because they view it as requiring extensive understanding of both statistics and coding. And, with Haven OnDemand, they want to make it easier for people to take advantage of machine learning tools. "What we're trying to do is say here's a portfolio, initially these 60 APIs, where you can call in, in very simple protocols through these RESTful APIS, and you can leverage a lot of the really rich machine learning that we've done," Mahony said.

"The robots are coming" is not something Paul Revere said during the American Revolution, but it is certainly something many people have uttered over the years. So have we finally reached the tipping point where artificial intelligence and robots will begin to take over human jobs en masse? Perhaps not, but we are closer to the time when they will be even more essential assets and presences in the workforce, explains Martin Ford, the author of the book "Rise of the Robots." I caught up with Ford at The Economist magazine's Innovation Forum event, which was held earlier this month. He pointed out that artificial intelligence is making its way into sectors that were once manned by only man, including the legal profession, where computer systems such as Watson could muscle in on human territory to provide legal counsel, and even journalism where stories are being written without direct human input about some articles.