The Tech Castle

NASA has revealed that in October 2021 it “holoported” medical professionals from earth into space to carry out consultations with astronauts in the first transmission of its kind. The US space agency used Microsoft’s Hololens Kinect camara and a PC with custom software from Aexa Aerospace to “holoport”. NASA flight surgeon Dr. Josef Schmid, Aexa CEO Fernando De La Pena Llaca, and their teams to the International Space Station. This is the first time that real-time, two-way communication with three dimensional representations of people has been carried out in space. This is a completely new manner of human communication across vast distances," Schmid said in the statement. "Furthermore, it is a brand-new way of human exploration, where our human entity is able to travel off the planet. Our physical body is not there, but our human entity absolutely is there." How did it work? The "holoportation" technology uses specialized image capture technology that recons

                                   CONVOLUTION NETWORKS In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of artificial neural network (ANN), most commonly applied to analyze visual imagery. The name “convolutional neural network” indicates that the network employs a mathematical operation called convolution. “A convolutional neural network (CNN) is a type of artificial neural network used in image recognition and processing that is specifically designed to process pixel data.” ConvNext- The Return of Convolution Networks Although back-propagation trained convolutional neural networks (ConvNets) date all the way back to the 1980s, it was not until the 2010s that we saw their true potential. The decade was marked by tremendous growth and the impact of deep learning. One of the primary drivers for the ‘renaissance of neural networks’ was convolution networks. Over the decade, the field of computer vision went through a paradigm shift. Engineering features sh