Human augmentation conjures up visions of futuristic cyborgs, but humans have been augmenting parts of the body for hundreds of years. Glasses, hearing aids and prosthetics evolved into cochlear implants and wearables. Even laser eye surgery has become commonplace. But what if scientists could augment the brain to increase memory storage, or implant a chip to decode neural patterns? What if exoskeletons became a standard uniform for autoworkers, enabling them to lift superhuman weights?
ORLANDO – The pace of technology change is accelerating rapidly, augmented by factors that IT pros need to study-up on, things they never had to deal with before like hyperautomation, multiexperience, and human augmentation that Gartner says will have a significant impact on enterprises. "It's been 50 years since the first message was sent across what became the internet. In 50 years we've seen technology transform our enterprises, our relationships, and society itself," said Val Sribar, senior research vice president at Gartner. "The next five years may bring as much change as those last 50." Looking ahead just on year, Gartner created the "Top 10 Strategic Technology Trends for 2020," which the consulting firm released at its IT Symposium/XPO 2019 here this week.
Having set the scene for a closer look at each of the four elements accelerating the Fourth Industrial Revolution in my last blog. I'm now looking at an area that is very much discussed wherever you land nowadays: The Internet of Things. The natural corollary to this is discussion about the essential role that cloud plays in delivering and realising value from IoT capabilities.
New and emerging technologies have the capacity to change our lives. If they are used correctly, they can improve the way we live, work, and do business. If misused, they can create problems ranging from a small disturbance caused by automated software to a large scale security breach. Rapid developments and adoption of these technologies in the enterprise are contributing to the digital transformation that slowly started some years ago. And so, year after year industry analysts identify the technology trends that will shape and disrupt businesses in the next few years.
Can you increase the number of images in any dataset? Machine learning, Deep learning, Artificial intelligence all require large amounts of data. However, data is not always available in every case. The programmer needs to work with the small amount of data available. Hence the use of data augmentation came into the picture.