Notsongoina avy tatsy amin'ny Forum Fivavahana/Finoana ao @ Serasera
| rhaj0 - 23/12/2016 14:45 |
 Inty misy famaritana voambolana mba tiako zaraina... Raha mba itadiavantsika fanagasiana izao ireo teny ireo mety tena mba an...http://iq.intel.com/what-the-tech-12-tech-terms-to-know-now/ Big Data is the analysis of extremely large amounts of data to reveal patterns, trends and associations, especially relating to human behavior and interactions. A Cloud is network of servers that work together to process, store and retrieve information via the internet. It can run a variety of applications more efficiently and dependably than a single server can. Clouds can be public, allowing individuals or organizations to “rent” computing resources, or they can be private, owned by an individual organization for their exclusive use. The Internet of Things (IoT) is where traditionally unconnected objects become “smart” via the ability to connect to the internet. Connected “things” include home thermostats, retail clothing trackers and internet-equipped cars. Once connected, these things have the potential to be remotely controlled and managed, and to generate data that can be analyzed and visualized to better understand their working condition and surrounding environment. 5G is the next evolution of wireless technology. It converges existing 2.5G, 3G, 4G, LTE and Wi-Fi, and is poised to transform the way people and digital things communicate and interact with the world. Artificial Intelligence (AI) is branch of computer science where machines can sense, learn, reason, act and adapt to the real world, amplifying human capabilities, automating tedious or dangerous tasks, and solving some of our most challenging societal problems. Machine Learning (ML), a subset of AI, is when computers have the ability to accumulate and process huge amounts of data that enables them create mathematical algorithms, which allow computers to act or “think” without being explicitly directed to perform specific functions. Deep Learning (DL), a subset of Machine Learning, uses neural network models to understand large amounts of data. Deep learning can accelerate processes like image recognition, natural language processing and other complex, data-driven tasks. For example, it’s the technology behind the facial recognition/tagging feature on social media and will be critical to enabling the autonomous driving experience. Augmented Reality (AR) is where a computer superimposes “enhancements” that overlay a user’s real-world environment – such as labeling the pipes in a power plant, showing a route for walking to get to the destination you want or capturing fictional characters in the real-world that aren’t actually there. Virtual Reality (VR) is where a computer fully creates an environment that a person sees, usually through goggles or another Head-Mounted Display (HMD). Users can experience something like being on the moon, shooting asteroids in the middle of space or walking on the bottom of the ocean. Mixed Reality is where digital and physical worlds collide, where physical and digital objects co-exist and interact in real time. Merged Reality describes the technology tools required to create new immersive experiences and digital representations of the physical world (see graphic). |
