TECNIVERSE

Robotics, as the name suggests, is the science and study of robots. The term robot comes from the Czech word ‘Robota’ meaning ‘forced labour’ which was coined by Karel Capek in 1921. Robots, as by what comes first to the mind, are man-made computerised machines which performs tasks on human commands or by themselves and seek to make work easier for human beings. A robot is an integrated system made up of sensors, manipulators, control systems, power supplies and a software, which work co-dependently in order to perform a task. The study of robot therefore requires a multidisplinary approach which includes subjects like science, physics, mechanical engineering, electrical engineering, structural engineering,mathematics, computing as well as biology, chemistry and medicine may also be involved.  Making of robots has never been an easy task and not all machines can be classified as robots. There are certain characteristics that makes a machine to be called as a robot. Those cha...

It's amazing how the extraordinary can become the every day. We can turn off our lights from anywhere in the world using our smart phone. Driverless cars are just around the corner. We're living in the future,one we thought was lifetimes away. It's part of a new revolution. The internet of thing. IOT is any physical object that you connect to the Internet. IOT is where physical systems and the information systems collide. What IOT means to me Is intelligence smart devices that bring the risks and threats that we've always seen in the industrial and digital control system space,into the lives of real people. Our fridges can remind us what to pick up at the store. Doctors can check on patient's status from the other side of the world. Cities can monitor everything from trash cans to buses. The potential is seemingly endless. The advantages of the IOT and the data that it produces are going to be enormous, from a personal health issue, to the physical reliability o...

Let's talk about glorious tale of AI-based human face generation and showcase an absolutely unbelievable new paper in this area. You may be surprised, but this thing is not recent at all. This is 4 year old news! Insanity. Later, researchers turned this whole problem around, and performed something that was previously thought to be impossible. They started using these networks to generate photorealistic images from a written text description. We could create new bird species by specifying that it should have orange legs and a short yellow bill. Then, researchers at NVIDIA recognized and addressed two shortcomings: one was that the images were not that detailed, and two, even though we could input text, we couldn’t exert too much artistic control over the results. In came StyleGAN to the rescue, which was then able to perform both of these difficult tasks really well. Furthermore, there are some features that are highly localized as we exert control over these images, you can see...