And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model -- GPU deep learning -- that enables computers to learn from data and write software that is too complex for people to code. 3. NVIDIA -- INVENTOR OF THE GPU The GPU has proven to be unbelievably effective at solving some of the most complex problems in computer science.

Science fiction has, for many years, looked to a future in which robots are intelligent and cyborgs are commonplace. The Terminator, The Matrix, Blade Runner and I, Robot are all good examples of this vision. But until the last decade, consideration of what this might actually mean in the future was unnecessary because it was all science fiction, not scientific reality. Now, however, science has not only done some catching up; it's also introduced practicalities that the original story lines didn't appear to include (and, in some cases, still don't include). What we consider here are several different experiments linking biology and technology together in a cybernetic way--essentially ultimately combining humans and machines in a relatively permanent merger.

Google Home is a Wi-Fi-connected speaker that's powered by Google Assistant, the same almost-all-knowing digital assistant that runs the show on Google's Pixel phones. With a user interface driven entirely by voice prompts, Google Home ($129 on the Google Store) can tell you about traffic and weather conditions, the latest news headlines and sports scores, and thousands of other informational tidbits. Basically, if a factoid is available via Google Search, there's a good chance Google Home can find it, and read it back to you. Google Home also lets you control other gadgets with voice commands. The list of supported devices is currently short, but includes the Nest Thermostat, Philips Hue smart bulbs and Google Chromecast.

Deep learning is a machine learning technique used to solve complex problems related to image recognition, natural language processing, and more. It requires both massive amounts of data and computational power. The compute problem has been solved largely by GPUs, which have become essential for making deep learning performant. GPUs have reduced the time required to train models from weeks to days. Most training tasks can be accomplished by building your own box.

Application uses artificial intelligence to learn human grammar, respond to spoken questions. Transport and logistics giant UPS Inc. is turning to artificial intelligence to better communicate with its customers, beginning with a "chatbot"--or chat robot--platform it launched on Monday. Customers who have package-tracking questions or want to find a nearby UPS Store can send a text message to the chatbot, and its computer algorithms will recognize keywords and generate an appropriate response, UPS said. Users can access the tool through the Facebook Messenger, Skype, or Amazon platforms, which means that fans of Amazon's voice-operated "Alexa" application can hold spoken conversations with the UPS chatbot instead of typing. Atlanta-based UPS currently fields questions from customers through its mobile app, website, toll free phone number, email, and "LiveChat," options, all of which rely on human operators to field questions.

Sebastian and Stefano from 5Analytics will give a talk about "Building production ready recommender systems in R". The 5Analytics platform is the motor for artificial intelligence (AI) and real-time-analytics. We help companies integrate ai into their business processes. With our software platform, artificial intelligence and real-time-analytics projects no longer take months to implement, but days. Our platform allows hundreds and thousands of machines to simultaneously and in real-time access artificial intelligence and advanced analytics procedures.

In his latest book, The Brain, renowned neuroscientist David Eagleman unlocks the mysteries of the most complex creation on earth and how it makes sense of the world, while examining the effect of modern technology and how our brain might develop in the future. "As far as we can tell, we're the only species that has grown so sophisticated that we've thrown ourselves into this problem of trying to figure out what our own programming language is. So it would be as though your computer started controlling its own peripheral devices, pulled its cover off and pointed its webcam at its own circuitry and tried to figure out what it's made out of. What we have found is the most complicated device that we've ever found in the universe. This weighs about three pounds and it contains 100 billion neurons, and every single neuron is about as complicated as the City of London. Every single neuron has the entire human genome in it and it's trafficking millions of proteins around very complicated ...

Pharmaceutical companies are set to benefit from intelligence on asthma as Aerobit, provider of a smart respiratory device, teams with artificial intelligence experts to unlock the potential of big data. To more effectively manage asthma care, Aerobit has introduced a smart inhaler which tracks medication use and records each time an inhaler is taken by an asthma patient. Patients receive reminders and alerts for their prescribed medical regime. Doctors are able to track treatment progress and compliance. In recognising the value of big data, Aerobit has teamed with artificial intelligence experts Eularis, to enable pharmaceutical companies to gain a deeper understanding of patient needs, drug efficacy and adherence, and real world data to drive accelerated growth for asthma drugs.

In order to demonstrate the ability of its driverless cars to prevent collisions, Chinese tech giant Baidu got a handful of its engineers to jump out in front of one of them while it was in motion. The stunt, performed last week, was revealed by Baidu's CEO Robin Li, who boasted about it in a speech to commemorate his birthday. He reportedly said that he was sitting in one of the autonomous vehicles, when a "few people" by the roadside suddenly rushed in front of the car. The car stopped and no one was hurt, but Li noted it wasn't foolproof. "I felt it was a little risky, because we hadn't done something like that before," he said.

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.