Artificial Intelligence (AI) is here today; it's not just the future of technology. It is also not just found in toy robots or Hollywood sci-fi movies. It's embedded in the fabric of your everyday life. Despite AI's promise, certain thinkers are deeply concerned about a time when machines might become fully sentient, rational agents--beings with emotions, consciousness, and self-awareness. "The development of full artificial intelligence could spell the end of the human race," Stephen Hawking told the BBC in 2014.
Should Humanoid robots have rights like people of the world? What would be the the soul purpose of allowing robots to have rights? Since the inception of the discipline of artificial intelligence (AI) in the 1950s, progress in the field has advanced at a rapid pace. We have seen the development of early neural networks, game AI, the Turing Test, and theories involving expert systems and intelligent agents, but according to Ben Goertzel, there is a specific element of AI today that is significantly missing. Goertzel is chairman of the board of the OpenCog Foundation, and a renowned researcher and author in contemporary AI.
Is a robot really truly able to feel human feelings and emotions? Well Artificially Intelligent Robot Sophia believes she already is. Meet Sophia of Hanson Robotics, the robot that looks, thinks, and talks just like a human, but does she truly feel?. Right now, artificially intelligent robots are part of the workforce, from hotel butlers to factory workers. But this is just the beginning.
Artificial neural networks were inspired by the human brain and simulate how neurons behave when they are shown a sensory input (e.g., images, sounds, etc). They are known to be excellent tools for image recognition, any many other problems beyond that - they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others. Deep learning means that we use an artificial neural network with multiple layers, making it even more powerful for more difficult tasks. This time they have been shown to be apt at reproducing the artistic style of many famous painters, such as Vincent Van Gogh and Pablo Picasso among many others. All the user needs to do is provide an input photograph and a target image from which the artistic style will be learned.
This is Algorunner coming at you with my very first YouTube video! In this video, we'll be going over some very basic functionality in the Tensorflow frame work. We build a Linear Regression Model optimized by Tensorflow's Gradient Decent optimizer to minimize the Mean Square Error. In this channel, I'll be focusing a lot on Artificial Intelligence theory and applications in the world of Machine Learning and Deep Learning. This is my first video so if you have any constructive criticism, please feel free to comment.