Deep Learning

Artificial intelligence and Machine learning are making sweeping changes in the technological world and are always making a buzz in the tech industry. Companies are using both the terms as synonyms to create hype around their products and brands but they are doing it all wrong.
According to the International Conference on Information Management (ICIM) survey, Conversational AI has already significantly impacted e-commerce, healthcare, education, entertainment, and other sectors by improving productivity in these fields.
Deep Learning and Artificial Intelligence are developing technologies to increase video content and user quality of experience. Content-aware AI has the potential to significantly enhance the viewing experience by making it more personalized, interactive, and novel.
Machine Learning is a faster-growing area of study, especially some of its interesting subtypes like reinforcement learning giving better results than ever whereas Artificial Intelligence on the parallel encompasses a lot as a subject and has a vast scope.
Cyber threats are putting our systems more into jeopardy with unexpected attacks by targeting devices, browsers, and sensitive content; cybersecurity has proved itself as a stroke of luck in the world of technologies.
A deep fake technology can easily manipulate the facial muscles of a person using artificial intelligence. It can replace faces, synthesize faces and synthesize speech.
The future of our race with cutting-edge AI technology is uncertain, but if appropriately implemented, these cogent systems will bring the dawn of progress for us.
Understand what deep fakes are and how harmful they can be.
GANs are machine learning approaches that can be used for a variety of things. From image and video generation to robotic artists.