If you have been wondering how there is always so much to do yet so little time, time has come when you can finally put a halt to that thought as artificial intelligence has just the things you need. In fact, with artificial intelligence and cognitive computing you can get things done with greater efficiency and much lesser effort than you thought was possible. Deep learning, which is one of the technologically superior methods behind the formulation of Artificial Intelligence, traces the evolution path of human intelligence design to develop machines that can perform tasks on their own and without human supervision helping in automation. It is very interesting to note how deep learning has altered the way we operate in various aspects of daily activities and necessity areas. Let us take into consideration 10 practical use cases of Deep Learning Techniques that have been witnessed in the last few years.

Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey. The experimental vehicle, developed by researchers at the chip maker Nvidia, didn't look different from other autonomous cars, but it was unlike anything demonstrated by Google, Tesla, or General Motors, and it showed the rising power of artificial intelligence. The car didn't follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it. Getting a car to drive this way was an impressive feat. But it's also a bit unsettling, since it isn't completely clear how the car makes its decisions. Information from the vehicle's sensors goes straight into a huge network of artificial neurons that process the data and then deliver the commands required to operate the steering wheel, the brakes, and other systems.

On May 11, 1997, a computer showed that it could outclass a human in that most human of pursuits: playing a game. The human was World Chess Champion Garry Kasparov, and the computer was IBM's Deep Blue, which had begun life at Carnegie Mellon University as a system called ChipTest. One of Deep Blue's creators, Murray Campbell, talked to the IDG News Service about the other things computers have learned to do as well as, or better than, humans, and what that means for our future. What follows is an edited version of that conversation. IDGNS: Is it true that you and Deep Blue joined IBM at the same time?

DeepMind's board game-playing AI, AlphaGo, may well have won its first game against the Go world number one, Ke Jie, from China – but but most Chinese viewers could not watch the match live. The Chinese government had issued a censorship notice to broadcasters and online publishers, warning them against livestreaming Tuesday's game, according to China Digital Times, a site that regularly posts such notices in the name of transparency. "Regarding the go match between Ke Jie and AlphaGo, no website, without exception, may carry a livestream," the notice read. "If one has been announced in advance, please immediately withdraw it." The ban did not just cover video footage: outlets were banned from covering the match live in any way, including text commentary, social media, or push notifications.

Artificial intelligence is where the competition is in IT, with Microsoft and Google both parading powerful, always-available AI tools for the enterprise at their respective developer conferences, Build and I/O, in May. It's not just about work: AI software can now play chess, go, and some retro video games better than any human -- and even drive a car better than many of us. These superhuman performances, albeit in narrow fields, are all possible thanks to the application of decades of AI research -- research that is increasingly, as at Build and I/O, making it out of the lab and into the real world. Alexa and Samsung Electronics' Bixby may offer less-than-superhuman performance, but they also require vastly less power than a supercomputer to run. Businesses can dabble on the edges of these, for example developing Alexa "skills" that allow Amazon Echo owners to interact with a company without having to dial its call center, or jump right in, using the various cloud-based speech recognition and text-to-speech "-as-a-service" offerings to develop full-fledged automated call centers of their own.

The world's best player of what might be humankind's most complicated board game was defeated on Tuesday by a Google computer program. Adding insult to potentially deep existential injury, he was defeated at Go -- a game that claims centuries of play by humans -- in China, where the game was invented. The human contender, a 19-year-old Chinese national named Ke Jie, and the computer are only a third of the way through their three-game match this week. And the contest does little to prove that software can mollify an angry co-worker, write a decent poem, raise a well-adjusted child or perform any number of distinctly human tasks. But the victory by software called AlphaGo showed yet another way that computers could be developed to perform better than humans in highly complex tasks, and it offered a glimpse of the promise of new technologies that mimic the way the brain functions.

Google artificial intelligence unit DeepMind teamed up with Chinese authorities to hold a five-day festival in the country this week focused on the ancient game of Go. The centerpiece of the event is a three-game contest pitting a DeepMind computer program against China's world Go champion, Ke Jie -- all of it livestreamed on Google's YouTube. Just one problem: Chinese Go fans couldn't watch the first game on Tuesday because the YouTube livestream was blocked in China. DeepMind's AlphaGo program won by just half a point. Major Chinese news websites were prepared to livestream the game, but the plans were suddenly canceled, according to people with knowledge of the plans who declined to be identified because of the sensitivity of the matter.

Deep learning is not as complex a concept that non-science people often happen to decipher. Scientific evolution over the years have reached a stage where a lot of explorations and defined research work needs the assistance of artificial intelligence. Since machines are usually fed with a particular set of algorithms to understand and react to various tasks within a matter of seconds, working with them broadens the scope of scientific breakthroughs resulting in the invention of techniques and procedures that make human life simpler and enriching. However, in order to work with machines, it is important for them to understand and recognize things just the way the human brain does. For example, we may recognize an apple through its shape and colour. For a robot to go through the same cognitive process, it must be fed with programming structures to recognize the same.

Artificial Intelligence (AI) is the latest frontier for Google as it moves away from a mobile-first approach. Many of Google's offerings will change with this direction which relies on machine learning and deep learning. "In an AI-first world, we are rethinking all our products," Google CEO Sundar Pichai said at the company's annual developers conference Google I/O 2017 last week. The announcements made at the conference suggest that nifty additions to Google's existing products will be driven by machine learning. Take, for example, Google Photos.

AI technology can bring down the drug discovery cost by analyzing huge data points in a fraction of the time as compared to humans.By Ashu Kajekar, CEO, 7EDGE Internet Imagine a doctor who can predict a patient's illnesses in advance and prescribe preventive medication in the blink of an eye. Or a computer in a research facility, that ingests and analyzes complex drug chemistries using deep learning algorithms to discover new medications. For that matter, an integrated neural network in an eye hospital that scrapes patient data for signs of eye diseases. Or even better, imagine a chat bot app in your smartphone asking you if you still have the stomach ache from yesterday and if you would like to consult a doctor on a particular day. While all may seem far-fetched, this vision of healthcare is not too far off.